Five roles.
One thread.

Built and supported enterprise AI/ML pipelines and FastAPI inference services. Contributed to LLM and RAG accelerators, retrieval tuning, SQL optimization, and delivery quality.

• Built and supported AI/ML solutions for enterprise clients in Python, developing data preprocessing, model training, and evaluation pipelines, and exposing inference through FastAPI REST services.
• Contributed to LLM and RAG-based delivery accelerators covering prompt engineering, retrieval tuning, and structured output validation; participated in architecture discussions, code reviews, and technical design documentation.
• Wrote and optimized SQL queries for data extraction and feature preparation, and supported CI/CD deployment, automated testing, and defect triage.

Built a production LLM voice assistant with RAG and agentic workflows, improving context accuracy by 35% and reducing hallucination rate by 40%. Implemented guardrails, monitoring, fallback strategies, and quality regressions.

• Built a production LLM voice assistant using LangChain, agentic workflows, and RAG pipelines (ChromaDB), improving context accuracy by 35% and reducing hallucination rate by 40%.
• Integrated OpenAI and Anthropic LLM APIs with FastAPI backends, implementing AI guardrails, monitoring, and fallback degradation strategies.
• Translated ambiguous requirements into documented technical designs for agentic tool-orchestration workflows; maintained CI/CD pipelines with automated regression tests.

Developed AI-augmented enterprise applications, LLM-powered search, and form parsing. Delivered client-facing POCs, secure APIs, technical designs, and handover documentation.

• Developed AI-augmented enterprise applications with LLM-powered search and form parsing, delivering short-cycle POCs and client-facing demos.
• Analyzed business problems with client stakeholders and translated them into AI-native solution designs with clear API and data-flow specifications.
• Architected secure RESTful APIs with JWT/OAuth, RBAC, and audit logging; produced handover documentation enabling independent client operation.

Led delivery of 5+ MERN applications with AI/ML integrations and mentored a six-member development team. Improved MongoDB query and schema efficiency by 30% through data-model optimization.

• Led end-to-end delivery of 5+ MERN stack applications with AI/ML integrations, owning implementation planning, architecture reviews, and delivery timelines.
• Improved MongoDB query and schema efficiency by 30% through data-model optimization.
• Mentored a six-member development team on architecture, code review discipline, and responsible AI practices.

Reduced API latency by 15% and built 20+ reusable React/TypeScript components that improved frontend performance by 40%. Implemented JWT/OAuth authentication and secure API design.

• Reduced API latency by 15% through database schema optimization and query tuning.
• Developed 20+ reusable React/TypeScript UI components that improved front-end performance by 40%.
• Implemented JWT/OAuth authentication with security-first API design.