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About me

Years Experience
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Resume
AI Engineer with around six years of experience building and shipping production software, the last few focused on LLM applications. I design retrieval augmented generation pipelines, build AI agents that handle multi-step tasks, and integrate generative AI into existing products without breaking what already works. Most of my recent work has been in healthcare, fintech, and billing - where accuracy and traceability matter - so I care a lot about evaluation, guardrails, and keeping cost and latency under control.

Bachelor of Science in Computer Science





My Services
Services I Offer To My Clients
I build production-grade LLM applications using OpenAI, Anthropic, and AWS Bedrock APIs - with a focus on accuracy, cost control, and safe integration into existing products.
I design retrieval augmented generation pipelines with vector databases (pgvector, Pinecone), semantic and hybrid search, chunking strategies, and reranking to maximize answer grounding and traceability.
I build multi-step AI agents with tool calling and agent orchestration (LangGraph, LangChain) that automate complex workflows and integrate with internal APIs and databases.
I set up evaluation frameworks with Ragas and LangSmith, build labeled regression sets, and add hallucination and safety checks so model changes are caught before they reach production.
I automate data ingestion, indexing, and AI-driven processing pipelines using n8n, webhooks, and API integrations to reduce manual work and keep knowledge bases fresh.
I deploy AI systems on AWS (Bedrock, SageMaker, Lambda) using Docker and GitHub Actions CI/CD, with observability via Datadog and Sentry to monitor cost, latency, and failure rates per feature.
Portfolio
Computer vision and deep learning projects
Get in Touch
Feel Free To Contact Me Any Time!
I always provide technical, creative and business insights to all projects I work on. With my experience and enthusiasm, I am sure I would be a great addition to your team and be a key player in making your project successful!