Currently at Jaguar Land Rover, previously Amazon. I architect production GenAI systems, optimize distributed compute infrastructure, and translate research into deployable products that solve real problems.
AI/ML Engineer at Jaguar Land Rover, focused on GenAI systems, scalable ML infrastructure, and research-to-production work.
Full-stack code quality analysis platform combining AST parsing for complexity metrics with Google Gemini for automated refactoring. Handles async analysis via Celery.
GitHub App that automatically reviews pull requests using Llama-3. Analyzes diffs for bugs and security risks, posting inline comments directly to PRs.
Multimodal system transforming images into viral-style tweets. Fine-tuned ViT-GPT2 for captioning with LoRA adapters for style transfer.
Production RAG system for document querying with sliding window chunking, FAISS vector search, and conversational memory.
Precise vehicle localization using Factor Graph Optimization with GTSAM library. Presented technical findings at JLR Tech Symposium.
Voice-enabled AI integrating Speech-to-Text (Whisper), RAG for knowledge retrieval, and Text-to-Speech for conversational support.
Open to geeking out on tough technical problems, collab opportunities, and building AI products that actually scale.