Senior Full Stack Engineer at Logic League

Hired through a third-party consulting partner to design and deliver scalable backend systems and enterprise-grade automation. Architected large-scale backend systems using Python, Django, and FastAPI serving 5M+ daily requests with 99.9% uptime across distributed microservices. Led a team of 7 developers to redesign core API infrastructure, reducing average response time by 58% using async programming, Redis caching, and query optimization. Built automated testing frameworks with Pytest achieving 92% code coverage and reducing production bugs by 68%. Developed high-performance data processing pipelines (Pandas/NumPy) for ETL workflows processing 10+ TB monthly. Implemented CI/CD with GitHub Actions and Docker, reducing deployment time from 3 hours to under 20 minutes. Spearheaded migration from a monolithic Django app to microservices, reducing release cycle time by 55% and improving deployment velocity.

Full Stack Engineer at Sparkbox

Developed and maintained RESTful APIs using Flask and SQLAlchemy to support tax computation workflows processing millions of financial records per cycle. Automated data extraction and transformation using Python scripts and Celery, reducing manual processing time by over 70%. Designed PostgreSQL schemas and optimized ORM queries, improving data retrieval performance by 45% across reporting modules. Built internal admin dashboards using Django Admin with role-based access controls for secure management of sensitive taxpayer data. Created automated data reconciliation pipelines using Python, reducing financial reporting errors by 60% and cutting manual validation time in half.