Enhanced RAG Agent Intelligence: Designed and implemented agentic actions for a QA agent, significantly improving its retrieval-augmented generation (RAG) performance and response quality.

Built Scalable NLP Platform: Developed a flexible content processing system using Azure Functions to support both scheduled NLP workflows and real-time API interactions, integrating LLM-based services for entity extraction, summarization, and categorization.

Delivered Custom AI Workflows: Engineered an end-to-end categorization workflow with user-defined logic, robust validation, and analytics dashboards—spanning front-end UX and back-end AI infrastructure, supported by optimized PostgreSQL schema design.

Built an AI Chatbot with Agentic Capabilities: Developed an LLM + RAG-powered chatbot capable of context-aware automated actions (e.g., API calls), enhancing website interactivity and user support.

Engineered Scalable Serverless Infrastructure: Implemented a robust AWS-based backend—including event-driven web scraping and authentication systems—and streamlined CI/CD with GitHub Actions and Vercel.

Led Full-Stack Product Delivery: Designed and launched user-facing interfaces using SvelteKit, DaisyUI, and Tailwind CSS, delivering a secure and intuitive product experience while leading a team of 4 engineers.

Led Global Expansion & Infrastructure Design: Contributed to the high-level design of Amazon’s internal document review service and led its expansion to EU and FE regions, ensuring multi-region scalability and reliability

Built Robust Cloud Infrastructure: Architected and deployed frontend and backend pipelines using AWS CDK, Lambda, DynamoDB, API Gateway, and ECS—migrating infrastructure from CDK v1 to v2 and configuring multi-stage environments with DNS, S3, and CloudFront.

Developed NLP Microservices: Implemented Python-based NLP microservices for grammar correction, integrating them into a serverless architecture and ensuring secure access via Midway-authenticated APIs.