AI/ML & Everything
Build production AI systems. Vector DBs, RAG pipelines, agentic workflows, and shipping LLM apps end-to-end.
Software Engineer · Coding Tutor · Badminton Player. Building distributed systems at scale and teaching the next generation of engineers.
4+ yrs building microservices, 2M+ daily events, .NET Core + Azure + Kubernetes.
Teaching production-grade engineering. Real code, real reviews, real growth.
The smash. The rally. The discipline. Same mindset on court as in a prod incident.
Twelve live tracks — plus fully custom ones. Production projects, real cohorts. Pick a track or pitch your own; I'll send batch dates and curriculum on WhatsApp.
Build production AI systems. Vector DBs, RAG pipelines, agentic workflows, and shipping LLM apps end-to-end.
Full-stack with the enterprise stack. Build, containerize, deploy to AKS with real CI/CD and observability.
Zero to a portfolio-grade frontend. HTML, CSS, JS fundamentals into modern React.
REST APIs that don't fall over. Auth, validation, persistence, and clean architecture from day one.
Trade-offs, not buzzwords. CQRS, DDD, event-driven systems, and why every choice has a cost.
Ship like a platform team. Terraform, AKS, Functions, blue-green deploys, and pager-friendly observability.
Pattern-driven problem solving. Sliding window, graphs, DP — built up the way interviewers actually probe.
Sub-10ms pipelines. SignalR, gRPC streaming, Redis Streams, and the gotchas of high-fanout systems.
Memory, pointers, and the bare metal. Learn how computers actually work — every other language gets easier after this.
Modern C++ from the ground up. STL, templates, RAII, and writing performant code that doesn't leak.
From syntax to scripting to APIs to ML. Pythonic patterns, async, FastAPI, and real-world projects.
Java fundamentals into production Spring Boot APIs. JVM internals, OOP done right, and real microservices.
I'm a software engineer with end-to-end coverage of modern computing — from low-level systems to AI agents. Whatever you want to learn, I can design a 1-on-1 syllabus around your goal. Just WhatsApp me.
Enterprise NL search over 100K+ documents. Async ingestion via Azure Functions, vector reranking on Qdrant.
80K+ events/sec ingest pipeline with HPA scaling 5→40 pods under peak load. Sub-10ms write latency end-to-end.
10K+ concurrent connections with presence, typing indicators, and multi-device sync. CQRS read models on Redis.
Eight-service backend behind a YARP API gateway. Full observability stack and HPA-driven autoscaling.
Weekend smashes, weeknight rallies. Sport sharpens reaction time, and reaction time ships better incident response.
Every cohort forces me to re-derive what I think I know. Students keep me honest and the explanations sharper.
Worked with teams across India, the Gulf, and the EU. Async-first, written-first, time-zone agnostic.
Currently deep in agentic LLM systems and the new wave of vector search. Next quarter: distributed Rust.