Selected work across enterprise AI, hiring automation, and recommendation systems.

Built enterprise-grade speech-to-text, LLM applications, and chatbot systems for large-scale client delivery.

Impact: moved AI initiatives from exploration into production-focused delivery pipelines.

Engineered meeting agents that transcribe conversations, generate summaries, and automate follow-up workflows using a Whisper + LLM pipeline.

Impact: reduced manual documentation work and accelerated meeting turnaround.

Implemented semantic resume-to-role matching with retrieval-augmented search to improve candidate ranking quality in recruitment workflows.

Impact: increased candidate-job fit accuracy for hiring teams.

Developed search, recommendation, auto-tagging, and image retrieval systems for fashion e-commerce using CV and embedding-based retrieval.

Impact: improved engagement and streamlined catalog operations.

AI-powered FPL Scout using historical and live data with ML models to predict player performance and optimize team selection.

Impact: enables data-driven FPL decisions with real-time predictive insights.

Contributed to the LangChain MCP adapter ecosystem and published reproducible Kaggle notebooks focused on practical, educational ML workflows.

Impact: extended open-source tooling and community learning resources.