I believe in shipping fast and solving hard problems with elegant execution. Currently focused on Indic AI models and developer tools that people actually use.
Kubernetes Explained: Why Companies Actually Use It
Running containers in production without Kubernetes means manual restarts, no scaling, and one crash away from downtime. Here's what K8s actually solves.
Claude Fable 5: What Developers Need to Know
Anthropic just shipped Claude Fable 5 — a Mythos-class model with 80.3% on SWE-Bench Pro. Here's what it is, what it costs, and when to use it.
Why Forward Deployed Engineers Are Becoming the New Product Builders
FDEs aren't just deploying software anymore — they're shaping it. Here's why forward deployed engineers are quietly becoming the most influential product builders in enterprise AI.
Developers leak sensitive IP and credentials during remote demos & screen sharing.
Built a low-level desktop utility that redacts targeted windows from Capture APIs.
- Solves a critical B2B privacy risk
- Cross-platform rendering architecture
Complex note-taking apps break the flow state for engineers debugging systems.
Designed a minimal, stream-of-consciousness capture tool focused entirely on speed.
- Zero UI-latency text capture
- Improves rapid context switching
Central India lacked a high-density, hands-on Machine Learning ecosystem.
Bootstrapped an elite Google Developer community focused on applied AI.
- Upskilled thousands of developers
- Created a primary talent density hub
Bilingual semantic search model for mixed Marathi-English text. Fine-tuned MiniLM for cross-lingual understanding.
Semantic search for Hindi-English code-mixed queries. Built for real-world multilingual search.
Explore models, training methodology, benchmarks, and usage examples.
I build AI-powered products, train specialized models, and share technical insights. Always open to interesting product engineering roles, collaborations, and speaking opportunities.