I build AI-powered full-stack applications and LLM evaluation systems, most recently at Turing on initiatives involving Meta, PepsiCo, Google Gemini, and Google DeepMind.
I design agent-completion conversations, SFT evaluation problems, structured scoring rubrics, and golden Python code samples for coding, reasoning, multimodal, and agentic workflows. I also built a production-grade RAG system with FastAPI, OpenAI embeddings, PostgreSQL, and vector retrieval for enterprise document question answering.
At PwC, I developed Revenue Growth Management dashboards that combine React, Python/Flask, GenAI, and LLM capabilities to turn PDF and business data into actionable revenue insights. For Walmart’s E-Closing platform, I delivered React interfaces and Node.js services supporting transaction workflows, APIs, and scalable deployments.
Across Tech Mahindra and Capgemini, I built customer-facing SPAs and enterprise interfaces for Lenovo, British Telecom, and Target using React, Angular, Java, SAP UI5, and Fiori. I bring more than 10 years of experience across frontend engineering, backend APIs, AI/ML solutions, testing, cloud, and DevOps delivery.
