Mid-level Backend & Applied ML Engineer specializing in LLM systems and scalable APIs
Palo Alto, CAGraduate Research Assistant3 years experienceMid-LevelTechnologyArtificial IntelligenceMachine Learning
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About
Backend engineer who significantly evolved an internal analytics/reporting platform (Python API + Postgres) powering self-service dashboards for product/business teams, focusing on reliability under heavy concurrent load and fast query performance. Demonstrates strong production engineering practices across API design (FastAPI), observability, incremental rollouts with feature flags, and data security using JWT/RBAC plus Postgres row-level security.
Experience
Graduate Research AssistantUniversity at Buffalo, Connected-Autonomous Vehicle Lab
Software Development EngineerJio Platforms Limited
Education
University at Buffalo, State University of New Yorkmaster, Computer Science - AI/ML (2025)
Vellore Institute of Technologybachelor, Computer Science - AI/ML (2023)
Key Strengths
Evolved internal analytics/reporting backend to support self-service dashboards under high concurrent load
Balances performance improvements with simplicity by optimizing existing stack instead of over-engineering