Ramnik Bhatia

Edtech firm Scaler ropes in Abhinav Vijayvargiya as its new CFO Scaler, an Indian edtech firm, has appointed Abhinav Vijayvargiya as its Chief Financial Officer. He will lead the company's financial functions. Vijayvargiya brings over 14 years of experience from tech startups and FMCG giants. He aims to steer Scaler towards profitability and strengthen financial discipline. Scaler is also expanding into deep-tech and AI, partnering with startups and IIT Roorkee. https://lnkd.in/dWabs4yi #Scaler #Edtech #CFOAppointment #AbhinavVijayvargiya #StartupFinance #AI #DeepTech #IITRoorkee #Profitability #Leadership

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ICYMI: Platform engineering promises to make developers' workflows smoother. But in practice, it often introduces new layers of complexity — and more friction. By Shweta Vohra

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"Choosing Google Workspace has been one of the best decisions for us," says Dipesh Karki, Co-founder and CTO of LenDenClub. See how they use Google Workspace with Gemini to help India's largest P2P lending platform stay collaborative and secure as they scale. Learn more - https://lnkd.in/eFvH2HXG Partner - Shivaami

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Looking for a Kubernetes-native, serverless platform to run scalable, reliable event-driven applications, including inference on streaming data workloads? 👇 Hear directly from 𝐍𝐮𝐦𝐚𝐟𝐥𝐨𝐰 PM Sriharsha Yayi, Stuff Product Manager at Intuit and Krithika Vijayakumar, Senior Software Engineer at Intuit 🔥 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞 𝐟𝐨𝐫 𝐭𝐡𝐢𝐬 𝐚𝐧𝐝 𝐦𝐚𝐧𝐲 𝐦𝐨𝐫𝐞 𝐠𝐫𝐞𝐚𝐭 𝐬𝐞𝐬𝐬𝐢𝐨𝐧𝐬 𝐚𝐭 https://lnkd.in/eJkr7wqS 📆 𝐓𝐮𝐞𝐬𝐝𝐚𝐲, 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟑𝐫𝐝, @ 𝟒 𝐩𝐦 𝐂𝐄𝐓 | 𝟏𝟎 𝐚𝐦 𝐄𝐓 | 𝟕 𝐚𝐦 𝐏𝐓 Running inference on streaming data is complex. Teams must connect to event sources, process streams, and scale inference with minimal overhead. Numaflow, a Kubernetes-native open source platform, simplifies this by allowing teams to do stream processing and inference in the same pipelines natively on Kubernetes. It integrates with Kafka, Pulsar, SQS, and more to support diverse event sources and scales to handle high-throughput workloads. Numaflow (created by the creators of Argo Project) is currently in use by large enterprises. This talk shows how Numaflow enables ML engineers to achieve scalable stream processing and inference on streaming data without the infrastructure burden. #Numaflow #Kubernetes #InferenceStreaming #EDA #DevSecOps #KubeCrash #PlatformEngineering 

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Embedding generation is now a database primitive, and a first-class capability of our modern data platform for the AI era. 🚀 From the stage at MongoDB.local San Francisco, Prakul Agarwal (Senior Product Manager, Machine Learning) and James Gentile (Senior Staff Engineer, Search & Machine Learning) break down the shift from keyword search → intent-based search, and how Automated Embedding in MongoDB Vector Search removes the glue code and sync headaches that slow teams down. Jump in with our quick start guide: https://lnkd.in/gi_hYrcN #MongoDBLocal

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Prompts don’t fail in isolation—infrastructure does. We just published a deep dive on how we solved prompt chaos across 33 microservices using observability and prompt versioning together. Kudos to KamalPreet Singh S., Anshul Yadav, and Samyak Jain for sharing real production lessons from building enterprise-grade LLM systems at 47Billion. Read the full blog here: https://lnkd.in/d8wSrk67 If you’re building GenAI systems in production, this one’s for you. #LLMOps #EnterpriseAI #PromptEngineering #Langfuse #GenerativeAI #AIInfrastructure #47Billion #EngineeringAtScale

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Alex M is bringing stripped Go binaries to RE//verse 2026! This talk uses Go metadata with LLDB and the LLEF toolkit to recover types and function names and to inspect complex data structures live at runtime. If you spend time reversing Go, this one should be on your list: https://lnkd.in/dgQ7pK3F

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Now live on Transak: Google & Apple SSO ✅ Users can now sign in using Google or Apple SSO, reducing friction right at the start of the payment flow. ✔ Fewer steps ✔ No more OTPs ✔ Automatic account merging for existing users Available across supported integrations. 📍Read More (link in comments)

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At #apidaysIndia, Naresh Jain will unveil a groundbreaking approach to API workflow testing that bridges REST and event-driven architectures. His session "From REST to Events: API Workflow Testing and Mocking with a Single Arazzo Spec" promises to revolutionize how we think about API testing and mocking. Using the Arazzo Specification, Naresh will demonstrate how to drive end-to-end API workflow testing across synchronous and asynchronous operations. Want to see how mocking complete workflows can unblock development and accelerate CI pipelines? Read more about his apidays India session here: https://lnkd.in/gaRWWMPk #apidays #Specmatic #APIdesign #APIWorkflowTesting #Arazzo #APImocking #APItesting Specmatic

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Katie, Staff Product Manager, Platform and Open Source at Intuit, discusses the human aspects of platform engineering. She explains how platform teams must consider the developer experience when building tools — what's intuitive for platform engineers can be overwhelming for application developers. Katie shares Intuit's solution to this challenge: implementing fine-grained RBAC policies to prevent accidental outages and leveraging GenAI to transform complex build and deployment logs into digestible summaries for developers. Watch the full interview: https://ku.bz/tx_vPsFrN This interview is a reaction to Ori's episode https://ku.bz/Xhd2xKDH7

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EDB Day Session — Part 2: PostgreSQL 18 / EPAS 18 — Features Are the Headline. Upgradeability Is the Story. In the same EDB Day session (Dec 8, 2025), one theme kept surfacing whenever we spoke about PostgreSQL 18 and EPAS 18. The room wasn’t asking for a “release note tour.” They were asking for something much more enterprise: “How do we take advantage of new capability… without turning upgrades into events?” Because in mature environments, the question is never just what’s new. It’s how safely can we adopt it—repeatedly. The most valuable lens I saw in the discussion was this: A major release only creates value if it’s reachable. That means: - Version currency becomes a strategy (not a heroic project every few years) - Patching becomes routine (not a mini-migration) - Monitoring becomes actionable (less noise, fewer false alerts, clearer next steps) - Change windows become workload-aware (time blocks aligned to real usage patterns, not calendar tradition) Here’s my strong belief: The best database platform isn’t the one with the most features. It’s the one where adopting features doesn’t increase fear. In the next posts, I’ll connect this to: - PGD 6.x (resilience and distributed reality), - Aurora migration thinking (what changes when you move off AWS-managed constraints), - and EDB PG AI Platform (guided operations that make upgrades and patching feel uneventful). One question for platform leaders: What’s your biggest blocker to staying current—testing, tooling, change windows, or organizational muscle memory? #EDB #PostgreSQL #EPAS #PostgreSQL18 #PlatformEngineering #DatabaseReliability #SRE #Observability #Modernization #EnterpriseIT #CloudMigration #ReleaseEngineering #DevOps

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🥁 This year's GMP Awards AI category winner blew us away with an assistant that reimagines last-mile delivery operations ➡️ https://goo.gle/4o0oc3m DispatchAI integrates natural language interfaces with smart backend automation to translate user inputs like ""Stuck in traffic"" or ""Change my delivery address"" into API workflow triggers. It offers managers a dashboard and drivers a mobile platform for support, as well as an AI chatbot for all users. Learn more about DispatchAI and watch the demo at the link.

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AppsForBharat raises $20 Mn in Series C funding Founder and CEO Prashant Sachan said, “With this fundraise, we are entering the next phase of growth, scaling temple partnerships, improving digital infrastructure for temples, and building AI capabilities to serve our users better.” Read more :- https://lnkd.in/gYmC3ksC #SpiritualTech #DevotionalApp #OnlinePuja #TempleTech #IndianStartup

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📚 Serving 100M+ customers means scale isn’t optional. Intuit’s IPS now delivers 100k+ events/sec, TP99 <500ms, and end-to-end freshness <4s—so Intuit Assist and support models can act on the last 30 clicks while they still matter. By moving OLAP to StarRocks, the team: • Hit a strict <4s freshness SLA to protect model accuracy • Sustained bursts >100k TPS while keeping TP99 under 500ms • Eliminated denormalization workarounds with fast multi-table joins • Achieved ~2s end-to-end ML latency (1s freshness + <500ms query) If you care about real-time analytics without operational sprawl, this story is a great read 👉 https://lnkd.in/gx_2Szas #Analytics #DataEngineering #DataLake #OLAP #RealTimeAnalytics

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