I build AI systems that ship - from low-level model optimization on edge hardware to full-stack AI platforms serving real customers in production. My engineering focus spans building end-to-end MLOps pipelines, designing robust RAG architectures (embedding, re-ranking, retrieval), executing fine-tuning orchestration, and deploying multi-tenant adapter inference engines. I care just as much about the infrastructure layer as the models themselves. Using tools like AWS, Kubernetes, and Docker, I architect scalable backends featuring Stripe-based billing, LLM-token-based autoscaling, secure RBAC authentication, and comprehensive Prometheus observability to ensure production-grade reliability.

On the systems programming side, I write high-performance C++ for custom inference servers, leveraging asynchronous multi-threading and optimized KV Caching (achieving up to 33.71 tok/s). My expertise in Edge AI allows me to push hardware boundaries using state-of-the-art quantization and calibration techniques like LiteRT and AIMET. I recently applied these principles to architect an end-to-end AI-enabled IDE for embedded systems - featuring comprehensive model-optimization pipelines that take neural networks from raw import to hardware-ready deployment, alongside custom tooling like model visualizers, latency estimators, and debug dashboards.

Outside of my core engineering roles, I actively research and implement Agentic AI workflows, focusing on frameworks like LangChain, ReAct Agents, and the Model Context Protocol (MCP). My recent personal projects include a dual-pipeline medical diagnostic assistant combining fixed RAG with dynamic reasoning agents, and an emotion-aware Spotify recommendation engine driven by custom neural networks and LSTM-based generation. I graduated as the Founder Chancellor's Gold Medalist for my B.Tech in AI & ML, and I am always excited to tackle complex engineering challenges or talk shop on modern AI architecture.

Additionally, I am a 3x published book chapter author, with peer-reviewed contributions in the fields of Artificial Intelligence and Machine Learning.