Deepak Kumar Gour

🔧 System Design, LLD & DSA — The Trio That Builds Real Things Everyone talks about DSA, LLD, and System Design like they’re separate subjects. But in real life? They talk to each other all the time. Here’s how: 📦 System Design is the blueprint. → "What are we building?" → "Can it scale?" → "How do users interact with it?" ⚙️ LLD is the wiring. → "What are the classes, interfaces, and modules?" → "How does data flow through the system?" → "Is it clean, extensible, testable?" 🧠 DSA is the toolkit. → "Which data structure makes this fast?" → "What algorithm saves time or memory?" → "How do I reduce this from O(n²) to O(n log n)?" One without the others? You’ll build something — but it either won’t scale, won’t be maintainable, or will be too slow. But together? You build systems that last. That serve real users. That don't wake you up at 2AM. 💡 Want to become a better engineer? Stop seeing these as topics. Start seeing them as teammates. #SystemDesign #LLD #DSA #EngineeringWisdom #BackendEngineering #ScalableTech #BuildWhatMatters

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SDE Series#2.1 - The Traffic Controller of the Digital Highway:- How Load Balancers Keep the Internet from Having a Meltdown:- Setting the Stage: When Success Becomes a Problem Imagine you've just opened the hottest restaurant in town. Word spreads, reviews are glowing, and suddenly you've got a line of hungry customers stretching around the block. Great problem to have, right? Except now you're facing a new challenge: your single kitchen can't handle the tsunami of orders, your one chef is having a breakdown, and customers are getting hungry waiting for their food. This is exactly what happens to successful websites and applications. One day you're happily serving a few hundred users with a single server, and the next day you're trending on social media with millions of people trying to access your platform simultaneously. Without proper preparation, your server becomes that overwhelmed chef, and your users become those frustrated customers abandoning their digital shopping carts. Enter the Load Balancer which is your system's equivalent of hiring multiple chefs, opening several kitchen stations, and having a master coordinator who intelligently directs orders to whoever can handle them best at any given moment. LB Magic:- At its core, a load balancer is like having the world's smartest bouncer at the entrance of your digital nightclub. But instead of checking IDs and limiting entry, this bouncer is performing complex calculations in microseconds, deciding which of your backend servers should handle each incoming request. Think of it as a super-intelligent traffic dispatcher sitting at a busy intersection. When a request (car) approaches, the load balancer quickly assesses the current traffic on each available route (server) and directs the request down the path that'll get it to its destination fastest and most efficiently. Modern load balancers are like chess grandmasters, thinking several moves ahead and making decisions based on dozens of variables simultaneously. The System Design Engineer's Love Affair:- From a system design perspective, load balancers are absolutely critical for several reasons: Scalability: Let you scale horizontally by adding more servers instead of trying to build one impossibly powerful machine. Reliability: Distributing load across multiple servers, they eliminate single points of failure. If one server crashes, the others keep serving traffic while you fix the problem. Performance: Optimize resource utilization and reduce response times by ensuring no server is overwhelmed while others sit idle. Flexibility: Enable blue-green deployments, canary releases, and A/B testing by intelligently routing traffic between different versions of your application. Cost Efficiency: Maximize the value of your hardware investment by ensuring all servers are contributing to serving traffic. Let us see in 2.2 about many Faces of Load Balancing, Layer-4, Layer-7 and future of auto scaling.

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System Design is not something you only worry about once you hit Senior SDE, trust me 👇 Because in reality, System Design shows up much earlier, and it’s a very imp. filter for any roles beyond SDE-2/3. That’s why I’m sharing this “System Design Made Easy” doc 📄 Big thanks to Bosscoder Academy for curating this structured guide! 🙌 📌 Check their programs here → bcalinks.com/Rr38sAy Here’s what you’ll find inside the doc: → Core concepts explained step by step (scalability, caching, load balancing, CAP theorem, databases) → Breakdowns of real-world system architectures → A 60-day roadmap designed to fit alongside a full-time job If you’re a mid-to-senior SDE prepping for your next role, this doc can save you weeks of scattered prep and give you a roadmap that actually works. And if you’re serious about growing into Sr. SDE roles at top PBCs, Bosscoder Academy’s EVOLVE program for SDEs with 6+ YOE is built exactly for this. They’ve already helped 2200+ engineers crack top PBC roles, maybe you’re next? #systemdesign #seniorsde #techinterviews #growth #jobswitch #collab

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𝗭𝗼𝗺𝗮𝘁𝗼 𝗼𝗳𝗳𝗲𝗿𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 30+ 𝗟𝗣𝗔 𝗳𝗼𝗿 𝗳𝗿𝗲𝘀𝗵𝗲𝗿𝘀 — 𝗮𝗻𝗱 𝗵𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲. The SDE-1 hiring process at Zomato is designed to test problem-solving, design thinking, and cultural fit. 𝗥𝗼𝘂𝗻𝗱 1 (𝗗𝗦𝗔 + 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻) • Problem-solving questions like Minimum Swaps to Sort • Schema design challenges such as scheduling banners with frequency limits 𝗥𝗼𝘂𝗻𝗱 2 (𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 + 𝗟𝗟𝗗 + 𝗗𝗦𝗔) • Deep dive into past projects with focus on scalability, API usage, and database design • Low-Level Design question: Restaurant Menu System (Domino’s-style with size, crust, toppings, configs) • DSA problem around suggesting dish prices with 1/3rd & 2/3rd constraints 𝗥𝗼𝘂𝗻𝗱 3 (𝗠𝗮𝗻𝗮𝗴𝗲𝗿𝗶𝗮𝗹 + 𝗛𝗥) • Why Zomato? • Short-term and long-term goals • Assessing mindset, ownership, and cultural fit 𝗧𝗵𝗲 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: • DSA helps clear the first bar • Project depth & design skills showcase technical maturity • Mindset & cultural fit decide the final outcome For aspirants, the Zomato interview journey is not just about coding — it’s about proving readiness to work on products that impact millions. Source : Leetcode Discuss. 

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Going from SDE-1 to SDE-2 wasn’t just about writing better code. Here are 5 hard truths I wish I’d known earlier: 1. 🔄 Your job isn’t to write perfect code — it’s to deliver value, reliably. 2. 🧠 Learning never stops. You need to unblock *yourself* faster. 3. 💬 Clear communication beats cleverness. Especially in team settings. 4. 👣 Impact > ownership. Start thinking about how your work moves the product forward. 5. 🤝 Mentorship isn’t optional. Help others grow, and you grow faster. The jump from junior to mid-level isn’t a title change — it’s a mindset shift. Still learning. Still building. 🚀 #SoftwareEngineering #SDE2 #TechGrowth #CareerInTech #programmershri

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PhonePe pays around 28-35LPA for SDE 1 and 40-50LPA for SDE 2 This are the classic questions they generally ask 𝗖𝗼𝗿𝗲 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 / 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 1. Map vs WeakMap, Object.is() contract, Object.freeze() immutability 2. Event loop vs microtasks, JS Memory Model, V8 tuning (Orinoco/Ignition) 3. ES6+ features in practice (async/await, optional chaining, private fields, top-level await) 4. Resilience in prod: retries, caching, suspense boundaries (what + where) 𝗗𝗦𝗔 1. Arrays/Strings: two-sum variants, move zeros, anagrams, longest prefix 2. Graphs/Trees: BFS/DFS, shortest path, tree re-rooting, DSU 3. DP staples: LIS, coin change 4. Binary search patterns; array transforms (filter → map → reduce) 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 1. Todo app with localStorage sync, drag-drop reordering 2. Infinite scroll product feed with virtualized rows 3. Collaborative real-time editor (like Google Docs lite) 4. Responsive dashboard with charts, filters, dark mode toggle 5. Image carousel with lazy loading, swipe gestures, infinite loop 𝗥𝗲𝗮𝗰𝘁 / 𝗠𝗶𝗰𝗿𝗼-𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱𝘀 1. Create React App vs Vite configs, environment variables, React DevTools 2. Component design: prop validation, composition, HOCs/hooks patterns 3. WebSocket (reconnects, retries, message queues) for live order updates 4. Observability: performance marks, error boundaries; bundle analyzers at scale 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻  1. Design a UPI-style payment checkout flow 2. E-commerce product feed with search/filter/infinite scroll 3. In-app notifications/chat-like pub-sub (like WhatsApp web) 4. Dashboard analytics platform for real-time metrics 5. Image optimization service at scale (like Cloudinary lite). Preparing randomly won't get you through interviews like these. That's why I created the 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗵𝗲𝗿𝗲: https://lnkd.in/d8vBd3_j Use code 𝗙𝗥𝗢𝗡𝗧𝟭𝟬 for 10% off.

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🔴 Rapido: 𝟯 𝗽𝗮𝘆𝗺𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝟭 𝗿𝗶𝗱𝗲 -- 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 This is not a complaint. This is a  𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻. I rarely post complaints publicly, but this experience deserves attention especially from a tech and product standpoint. What actually happened: 1. First UPI payment through BHIM app.     • Money debited successfully from my bank. • Still not reflected in rider or captain app after some time Rapido app showed payment unsuccessful     • Refund promised in 3–5 days 2. Second UPI payment (prompted by app)    • Debited again    • Still not reflected in rider or captain app 3. End of ride behavior (major issue)     • App showed an online payment countdown timer     • I waited ~2 minutes     • Payment state never updated     • After timer expiry, app forced cash payment 4. Third payment (cash)     • Paid captain so he could continue his rides     • Later confirmed with the captain:     👉 He received only this one cash payment, nothing else 𝗥𝗮𝗽𝗶𝗱𝗼'𝘀 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲:  1. Rapido refunded only one UPI payment.  2. Refund was pushed to 𝗥𝗮𝗽𝗶𝗱𝗼 𝗪𝗮𝗹𝗹𝗲𝘁, not my 𝗯𝗮𝗻𝗸 𝗮𝗰𝗰𝗼𝘂𝗻𝘁  3. Second UPI payment has "no records" in their system Ticket closed with "𝗡𝗼 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗳𝘂𝗿𝘁𝗵𝗲𝗿" Asked me to contact the captain, despite platform-controlled payments The core technical failure: If a ride ends as 𝗖𝗔𝗦𝗛 𝗣𝗔𝗜𝗗, the system must reconcile and refund all prior successful online debits. Failing to do this means:  • Broken payment state management  • No UTR-based reconciliation  • No idempotency for retries  • Poor sync between ride lifecycle & payment lifecycle  • Forcing riders and drivers into conflict 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗯𝗮𝘀𝗶𝗰 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 𝗵𝘆𝗴𝗶𝗲𝗻𝗲. Platforms like Ola & Uber handle this cleanly:  • Clear payment finality  • Automatic reconciliation  • Refunds to original source  • No ambiguity for drivers or riders 𝗧𝗿𝘂𝘀𝘁 is non-negotiable in mobility + payments.  Right now, Rapido is breaking that trust. 𝗧𝗵𝗶𝘀 𝗻𝗲𝗲𝗱𝘀 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗥𝗮𝗽𝗶𝗱𝗼'𝘀 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘁𝗲𝗮𝗺𝘀. #Rapido #UPI #Payments #Fintech #CustomerExperience #ProductFailure #TechDebt #IndiaTech #Accountability #NPCI

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Just one message to all companies: Stop expecting SDE-2 level skills from a fresher. They are freshers for a reason. They’re not supposed to have: → 3 years of production-level experience → Expertise in system design → End-to-end ownership of complex architectures What they should have is: ✅ Curiosity to learn ✅ Basic problem-solving skills ✅ The ability to adapt & grow with mentorship The truth is — freshers aren’t meant to replace senior engineers. They’re meant to learn from them. They’re the investment that grows into tomorrow’s senior engineers. So instead of rejecting them for “lack of experience,” give them a chance to prove their potential. Because talent without opportunity is like code without execution — it never gets to run. I share actionable advice for freshers and early-career developers here and on YouTube : https://lnkd.in/gT7acAgd If you’re a fresher looking to navigate your career, follow along. - Abhay Singh

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“A/c Credited: ₹25,000” vs “A/c Credited: ₹2,10,000”. Same college. Same batch. Same eight hour work shift. The difference is how they handled a single 45-minute DSA round when it actually mattered. If you want to be on the right side of that SMS, you cannot prepare with random sheets. You need a pattern-based DSA system. This is the one I recommend. Check out the DSA Pattern Product here -> https://lnkd.in/gBD5HDcB Here is the real gap between those two salary slips - One brain is trained to recognize patterns under pressure. -The other keeps thinking “yeh question pehle dekha hai kya”. - One walks in with a clear decision process. - The other walks in hoping the problem is easy. Inside the system, you focus on - Patterns first, solutions second. - Timed practice that forces you to think before you code. - Tracking weak areas so every week your odds improve. Two problems. One timer. If you treat that window casually, it will keep deciding your ceiling for you.

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🧠 Me: “Why is the report taking 30 minutes?” Database: “Because you asked me 2 million questions.” At VLCC, our monthly report was slow. Very slow. We had: • 10 million Leads • 10 million Call Logs • 2–3 million rows per export And somehow… We thought Django was slow. Plot twist: It was the N+1 query problem. Us: “Just loop through the queryset.” Database: “Oh nice. So for every row… you want me to go back and check related tables again?” Us: “Yes.” Database: “…2 million times?” What we actually built: 1 query 2 million tiny queries serializer per row Python loops = 🔥🔥🔥 Celery workers were crying. CPU was screaming. Managers were refreshing. Fix: ✔ select_related ✔ annotate ✔ proper joins ✔ removed serializer bottleneck Result: 30 minutes → 20 seconds. Same server. Database just needed respect. Moral of the story: Before blaming Django… Ask yourself: “Am I interrogating my database one row at a time?” If you’ve never accidentally built an N+1 monster… Are you even a backend engineer? 😄 #Django #BackendEngineering #Python #NPlusOne #SystemDesign

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a-z Backend Guide - The 2026 Update 🚀 👉 Access the a-z Backend Guide: https://lnkd.in/dgirSN6j 9 months ago, I shared my journey of switching domains while moving from PhonePe to Zomato. The response was overwhelming, but the tech world has changed since then. In a world of layoffs and AI-driven development, the 'coder' is being replaced by the 'orchestrator.' Tools like Claude Code are changing the game, but they are only as good as the engineer guiding them. I will update my roadmap to show you how to master this synergy, maintaining high standards while using AI to do the heavy lifting. What will be New in the Updated Roadmap? - AI Engineering: How to leverage tools like Claude Code to learn complex system internals 10x faster. - The "Anti-Layoff" Job Strategy: Specific tactics to find and land roles in a volatile market. - Freshman Fast-Track: A dedicated end-to-end path for freshers to break into Backend. - QA Engineer -> Backend Engineer roadmap will also get added in future. - The 2026 Resume Blueprint: My top tips to make your resume pass the "6-second human glance" and the AI filters. - Everything is still 100% free. I’ll add these new sections directly into the original document - no new links to hunt for. Note: I will add all these details in upcoming months, so kindly bookmark the document. If you’re planning to switch domains or aim higher roles, I promise this guide will save you months of confusion. 🔥 Let’s normalize helping each other grow in tech. If this adds value, do drop a like or share so more folks can benefit. connect me : https://lnkd.in/d5vSKqxN  for career guidance and 1-1 mentorship. #CareerTransition #Discipline #TechCareers #BackendDevelopment #MorningRoutine #dsa #lld #prep #sde #BackendEngineering #CareerSwitch #SystemDesign #SDE2Prep #TechGrowth #SDE1 #problemSolving

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My take on why the Netflix "Resume" feature is a masterclass in UX... 🎬 We take it for granted, but syncing playback across devices for millions of users is a massive engineering hurdle. It’s a perfect example of how Distributed Systems solve "small" problems at a massive scale. To make it feel seamless, Netflix handles: 150k+ Heartbeats/Sec: Real-time state updates via Kafka. Global Sync: High-speed persistence using Cassandra. Zero Lag: Ensuring your phone knows where your TV stopped in milliseconds. The post below captures the full System Design details behind this architecture. Truly impressive engineering. 👇 Which other "hidden" app feature do you think has the most complex design? Let’s discuss below! 👇 #SystemDesign #Netflix #Backend #SoftwareEngineering #TechInsights #DistributedSystems #Scalability #CloudArchitecture #DistributedSystems

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A frontend engineer applied to Blinkit for an SDE-1 role. They knew DSA, understood core CS fundamentals, and had good industry experience, but still got rejected in the machine coding round. Another frontend engineer went for SDE-1 at Swiggy. Despite a solid grasp on algorithms, they got tripped up by a high-level design (HLD) question and got rejected. Stories like these are everywhere now. Companies are moving past pure DSA and want engineers who can build real features, design systems, and write scale code. Swiggy, Zomato, Nykaa, Upstox, RazorPay, Navi, and Cars24 all run machine coding rounds in their interviews for frontend roles. ► So, what exactly is the machine coding round? This round tests how you take a real-world product requirement and turn it into a working application or feature, under time pressure, with messy constraints, and with the expectation that your code could go live. You might be asked to build a mini-dashboard, interactive table, chat UI, or even an end-to-end feature, using your tech stack of choice. ► What do you have to do? Write production-ready, modular, and readable code Show you can handle edge cases, loading, and errors. Think about performance, scalability, and user experience. Make smart design choices for components, state, and data flow. Explain your approach as you build, and adapt on the fly to feedback. ► Best practices for cracking this round: Clarify requirements at the start; don’t assume anything. Sketch a component and data structure plan before jumping into code. Structure files and logic for easy reading and extension. Build in increments, test and show your progress at milestones. Practice with real problems from actual interview experiences, not just sample projects. Most importantly, remember that companies want to see how you think, not just what you know. Your process, clarity, and ability to adapt under pressure matter as much as the final output. I’ve compiled a resource of 25+ detailed interview experiences from engineers at Blinkit, Swiggy, Zomato, Upstox, RazorPay, Nykaa, Navi, Cars24, and also top companies like Uber, Tekion, Flipkart, Zepto, and more. If you’re prepping for frontend interviews in 2025, don’t leave this round to chance, learn from other’s interview experiences: https://lnkd.in/g7kjjR4i

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Meesho Interview Experience Compensation: 40L Position: SDE2 Hope this helps others preparing for it! 🙌 Recently saw post through the Meesho interview process, and here’s a detailed breakdown of each round: 🔹 𝗥𝗼𝘂𝗻𝗱 1: Online Assessment 3 DSA problems. - Sweep Line / Prefix Sum – Meeting Rooms variation. - Dynamic Programming – Count subsequences with condition. - Math + Binary Exponentiation – Efficient counting under strict constraints. 🔹 𝗥𝗼𝘂𝗻𝗱 2: DSA - Array + Linked List focused. - More emphasis on writing clean, production-ready code and explaining reasoning clearly. 🔹 𝗥𝗼𝘂𝗻𝗱 3: Machine Coding LLD - Got a problem statement to design & implement a Cab Booking Application (like Uber) 🚖 - Implemented it in Java (best choice for LLD) with clean design patterns & coding principles - The statement was lengthy with 8 APIs to implement → delivered complete running code within time - Faced an optional bonus question on multithreading (two customers booking the same cab simultaneously) → explained how to handle the race condition - Lots of cross-questions on OOPs & design choices → answered confidently - Key takeaway: Strong OOPs + Design Patterns are must-haves for LLD interviews ✅ 🔹 𝗥𝗼𝘂𝗻𝗱 4: Hiring Manager round 👨‍💻 - Explain CAP theorem with real-life examples - Parallelism vs Concurrency - Core Java: Reflections & Dependency Injection - Polling vs Webhooks (resume-based) - Why Relational DBs are hard to scale - Indexing & Composite Indexing, and why we can’t index all columns - Sharding in depth → how to partition data - ACID principles with real-world examples - CDN basics - Transactions in Databases & strategies in distributed systems - Even a few JavaScript questions since I had frontend internship experience Key takeaway: Strong grasp of databases + system design fundamentals + OOPs is critical for such rounds. Result → Selected (but I turned down the offer) 🎊 Feel free to reach out if you're preparing — happy to help or share resources. All the best to everyone Resources I followed to crack companies : https://lnkd.in/g44tRKTJ #sde1 #sde2 #sde3 #hiring #explore #linkedin #layoff #tcs #interviewExperience #goldmanSachs #oracle

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Uber SDE 2 - Interview Experience Interview Rounds & question asked: 1 Online Assessment 2 Screening Round A standard DP problem System Design: Notification system for stock price changes (loved this one, lots of real-world thinking!) 3 DSA/Problem solving Round Given an array of binary strings and two integers m and n, return the size of the largest subset of strs such that there are at most m 0's and at most n 1's in the subset. 4 LLD / Machine Coding Design an Asynchronous Task Management Library. Requirements:Should allow users to define a task,Tasks can have dependencies on other tasks,Tasks get added to a Queue - 1 queue global,Should have a main task runner (run once for this problem) that runs the tasks in the queue. 5 Design & Architecture - New Problem Interview, Design a News Feed for a social network Had to cover scalability, storage/db choices, feed ranking, live updates and celebrity problem. 6 Collaboration & Leadership Interview Design discussion and leadership questions. 7 Team matching rounds Past experiences and team/culture fit questions. Key Learnings:- Focus on fundamentals: DSA + System Design + OOP - Think out loud, interviewers value your approach as much as your solution - Practice under time constraints (mock interviews help!) #Uber #SDE2 #InterviewExperience #SystemDesign #DSA #LowLevelDesign #MachineCoding #TechInterviews #SoftwareEngineering #CareerGrowth #CodingInterview #TechJobs #AsyncProgramming #Leadership #TeamMatching #TechCommunity #MockInterviews #CodingPreparation #Scalability #NewsFeedDesign

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