About Me
I am a passionate Software & Platform Engineer with a fascination for automation, real-time systems, and emerging technologies. My work bridges the worlds of Big Data, Machine Learning, Blockchain, and Distributed Systems, where I design and build solutions that are scalable, resilient, and future-ready.
Beyond technology itself, I am deeply motivated by the potential of AI and distributed systems to support human well-being. I’m particularly interested in how emerging technologies can be applied to help people with neurological conditions such as autism — combining innovation with purpose to make a positive impact.
- 🌐 Automation: I believe in automating everything that can be automated — from infrastructure to deployment pipelines — to create efficient, reliable, and reproducible workflows.
- 🧠 Big Data & Machine Learning: I enjoy working with large-scale data, building models, and creating systems that extract real value from complex datasets.
- 🔗 Decentralized & Emerging Tech: I explore technologies like blockchain and event-driven architectures to push the boundaries of secure and distributed applications.
- 🖥 Distributed & Cloud Systems: I specialize in designing fault-tolerant, cloud-native systems capable of handling real-time workloads at scale.
- 💡 Tech for Social Good: I am inspired by the intersection of AI, healthcare, and accessibility, seeking ways to create tools that empower individuals and improve quality of life.
Older GitHub -> kinfinity
☁️ Cloud Platforms → AWS, Azure, GCP, Heroku
📦 Containerization & Orchestration → Docker, Kubernetes
🛠️ Infrastructure-as-Code & Config Management → Terraform, Ansible, Vagrant
⚡ CI/CD & Automation → GitHub Actions, Jenkins, GitLab CI, Azure DevOps, AWS CodeBuild, Bamboo
👨💻 Programming & Scripting → Go, Python, C++, Java, Node.js, C# .NET, PHP, Bash, PowerShell, Groovy
🏬 Databases → PostgreSQL, MySQL, MongoDB
📊 Development Practices & Tools → Agile, Scrum, Kanban, SDLC, Jira, Notion, Resource Planning
🧠 Machine Learning & Data → Python (PyTorch, scikit-learn), feature extraction, real-time inference pipelines
📡 Streaming & Distributed Systems → gRPC, WebRTC, Kafka, event-driven architectures
🔍 Observability & Reliability → Logging, monitoring, distributed tracing
💻 Operating Systems → Linux, Windows
I love working on projects that combine:
- ⚡ Real-time systems → Building services that handle streaming data and low-latency processing.
- 🧩 Applied ML → Creating intelligent pipelines where models connect seamlessly with live systems.
- 🔐 Resilient Platforms → Designing distributed, cloud-native infrastructures with reliability and scalability in mind.
- 🌍 AI for Impact → Exploring how emerging technologies can support neurodiversity and healthcare innovations, ensuring technology serves people as much as progress.
📄 Experiences → Egbewatt Kokou - Resume
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