Akshay Patil
AI/ML Engineer | GenAI & Multi-Agent Systems | AWS Certified ML Engineer | Data Engineering & Cloud (Snowflake, GCP, AWS)
- Role
- Ai Ml Engineer at Cognisure
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Akshay Patil
As an AI/ML Engineer, I design and build multi-agent systems with Text-to-SQL…
Experience
Ai Ml Engineer
Mar 2025 — Present · US
Architected an asynchronous multi-agent system with FastAPI, LangGraph, and Snowflake for analytics and document intelligence- Designed an orchestration framework with LangGraph, combining subgraphs for database, document, and web retrieval into a unified state-machine. Implemented conditional routing, parallel execution, and a broker mechanism to merge results into a single response- Developed a database agent that converts natural language questions into optimized Snowflake SQL, executes queries, and summarizes results into clear business insights. Improved query accuracy by 30% using FAISS-based schema retrieval, sqlglot validation, and self-correction loops- Built a document agent powered by agentic RAG with Qdrant, applying a “planner–worker” design: complex questions were decomposed into sub-queries, retrieved in parallel with category-aware filtering, answered with contextual LLM calls, and stitched into comprehensive reports with citations- Implemented buffer memory, caching strategies, and error-handling loops to enable context-aware multi-turn interactions, reduce redundant LLM calls, improve scalability, and ensure robust performance under real-world conditions- Exposed the entire LangGraph orchestration as an async FastAPI endpoint, delivering high-throughput, low-latency workflows across SQL and agentic RAG pipelines.
Education
Mes Pu Collge
PCME
2013 — 2015
California State University, Fullerton
Master's degree, Computer Science
California State University, Fullerton
Master of Science - MS, Computer Science
Atria Institute of Technology
BE - Bachelor of Engineering, Computer and Information Sciences and Support Services
2015 — 2019
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