
Gishnu Madhu
@gishnumadhu
I build AI, knowledge graph, and distributed systems that automate complex workflows at scale.
What I'm looking for
At PhysicianX, I architected an autonomous web crawler running 3 million daily activities and built a full-stack RAG-AI assistant that reduced internal document retrieval time by 20%.
Previously at Credit Suisse, I led graph-data and platform modernization across an 18-service microservices architecture, including zero-downtime Neo4j and Java migrations. I built event-driven Spring Boot services, optimized ETL and database queries by 80%, and helped maintain 99.9% workflow uptime.
I'm also a graduate researcher at the University at Buffalo, applying graph learning and reinforcement learning to robot co-design, satellite debris capture, and GPS-denied drone flight. My work includes knowledge graphs, GraphRAG, NLP ingestion, and scalable graph databases.
Experience
Work history, roles, and key accomplishments
AI Engineer
PhysicianX
Jun 2025 - May 2026 (11 months)
Architected an autonomous web crawler using Temporal for durable workflow orchestration, integrating backend distributed systems to execute 3 million daily activities and ingest data into a scalable Knowledge Graph. Developed a full-stack RAG-AI assistant with RBAC data controls and OAuth/JWT authentication, served via GraphQL and RESTful APIs to reduce internal document retrieval time by 20%.
Education
Degrees, certifications, and relevant coursework
University at Buffalo
Master of Science, Computer Science and Engineering
2024 -
Pursuing a Master of Science in Computer Science and Engineering at the University at Buffalo, expected to graduate in May 2026.
Availability
Location
Authorized to work in
Job categories
Skills
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