Unkommon — Serverless AI platform on AWS

Designed and deployed a serverless AI platform on AWS running a website chatbot and a voice agent on large language models via Amazon Bedrock. Built agentic, tool-calling workflows where the assistant checks availability and books appointments through function calls, using Python and Bedrock. Engineered the system prompt, tool schemas, and guardrails (including prompt-injection defenses), and added a Trie-based intent classifier to answer common questions before the LLM, cutting latency and per-call cost. Deployed on serverless AWS (Lambda, API Gateway, DynamoDB) as infrastructure as code with AWS SAM, with a CI pipeline and automated tests.

Company Policy RAG — Retrieval-Augmented Generation system

Built a RAG pipeline with hybrid retrieval (dense embeddings + BM25) and cross-encoder reranking over proprietary documents. Evaluated retrieval quality with faithfulness and context precision, both 1.00 on a 10-question test set. Containerized with Docker and deployed with a FastAPI backend on Hugging Face Spaces.

AWS Cost Watchdog — Serverless FinOps tool on AWS

Built a serverless tool that uses ML-based anomaly detection to flag unusual AWS spend, with idle-resource detection and tag governance, surfaced in a React dashboard. Provisioned with Terraform (remote S3 state) and deployed via a GitHub Actions CI/CD pipeline using OIDC; four event-driven Lambda functions on EventBridge.

✅ Verified by Extern · ⏱️ In progress

Wayfair n8n AI Agent Engineering Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.