Résumé

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Backend-leaning application engineer with 5+ years building Python services, REST APIs, CLI workflows, and customer-facing platforms across web, backend, and data systems.

Experience

Integrated Analytics Solutions — 06/2026 to present

Production LLM agent runtime. Contributed YAML write-safety, canonical-hash trust verification, configurable memory controls, a CLI exit-code contract, and an AST-based CI check that blocks stub implementations. → Case study

Takeda — 07/2025 to 07/2026

Built an eight-endpoint FastAPI service with bearer-token sessions, isolated storage, integrity checks, and asynchronous processing. Cut per-file processing from over fifteen minutes to under thirty seconds. → Case study

Integrated Analytics Solutions — 05/2023 to 03/2025

Designed a Python service reconciling database requests with Kubernetes, managing the lifecycle of isolated analytics pods through explicit operational states. Provisioning went from days to minutes at ~1,000 concurrent users. → Case study

GameStop — 09/2022 to 05/2023

Built an Airflow- and API-integrated approval workflow with database-backed tracking and dashboards, reducing team effort 80%. → Case study

Skills

• Languages — Python, Bash, SQL
• Frameworks & APIs — FastAPI, React, REST, WebSocket, OpenAPI
• Data — PostgreSQL, pgvector, Apache Airflow, pandas
• Testing — pytest, unit/integration/e2e, AST static analysis
• Infrastructure — Docker, Kubernetes, AWS, Linux, Git

Education

• M.S. Data Science — University of Texas at Arlington, 2022
• Post Graduate Diploma, Data Science — INSOFE (CMU-accredited), 2020