Agentic AI systems, enterprise automation, and production-grade RAG.

Seattle-based engineer focused on multi-agent workflows, tool-use, and enterprise integrations. Built production systems that automated business processes (saving 20+ hours/week) and shipped a RAG enterprise search platform that cut information retrieval time by 90%.

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Focus

Agentic AI & process automation • Enterprise RAG/Search • LLM automations for sales ops • Reliability and guardrails

LangGraph LangChain MCP RAG OpenAI Agents SDK

Impact

20+ hrs/week

Saved with scalable multi-agent automation

90%

Faster information retrieval via enterprise RAG search

95%

Overhead reduction in CV exam grading system

Experience

AI Systems / AI Engineer

Aug 2024 – Mar 2025

Multi-agent systems for enterprise automation, RAG enterprise search, and LLM-driven workflow execution across common enterprise tools and CRMs. Implemented production guardrails, monitoring, and performance optimizations.

SDE Intern, Backend + AI/ML

Jun 2024 – Jul 2024

Owned an end-to-end computer vision grading system from labeling and preprocessing to deployment, improving accuracy and eliminating most manual evaluation work.

Industry Projects

Voice AI & agent-driven operations (La Rosa Holdings): Tier‑1 support and onboarding workflows.

AI client acquisition agent (Infinite Labs Digital): real-time calendar/scheduling integration for bookings and 24/7 lead capture.

Education

MS in Information Systems, University of Washington (expected 2026)

BS in Computer Science and Engineering, VIT (2025)