I am a backend engineer specializing in designing scalable distributed architectures, optimizing database lookups, and engineering concurrent data ingestion pipelines. My core focus centers on converting linear system bottlenecks into constant-time executions, hardening data streaming safety using message brokers, and implementing defensive failure-isolation strategies. As an active open-source contributor, I patch lifecycle architecture gaps and API schema compilation mismatches within core developer tools like the Prefect ecosystem.

Python • SQL • Java • JavaScript • C/C++

FastAPI • Django • Flask • SQLAlchemy • Alembic • Pydantic

PostgreSQL • RabbitMQ • Supabase

Amazon Web Services (AWS) • Oracle Cloud Infrastructure (OCI)

Git • GitHub • Postman

• Patched an asynchronous lifecycle state leak by dynamically provisioning a fresh session manager per runtime cycle, eliminating thread task-group failures in multi-run test suites. [PR]
• Hardened token validation pipelines using thread-safe deep-copy model replication to propagate upstream identity claims across service boundaries without cross-request state pollution. [PR]
• Resolved an OpenAPI-to-JSON Schema mismatch by intercepting nullable flags and injecting null parameters into enum constraints, protecting autogenerated client SDKs from runtime errors. [PR]

Tech Stack: FastAPI, Pydantic, OAuth2/JWT

• Developed a secure session-based authentication system, constructing server-side request validation layers to protect database entities from malformed data payloads.
• Reduced feed query complexity from O(N) relational round-trips to O(1) single-query execution using explicit relationship prefetching and database annotations.

Tech Stack: Django, PostgreSQL, REST APIs

• Integrated 4 external service APIs into a monolithic controller layer, enforcing explicit 5-second timeout boundaries and elegant empty-state schema fallbacks.
• Built a secure, server-side rendered application utilizing a 3-layer input validation pipeline coupled with a dictionary-configured framework for structured logging.

Tech Stack: Django, Python, Requests