Experience
Software Engineer
- Leading test-driven development initiative for production Django SaaS serving 17,000+ students across multiple school districts
- Achieved 90% test coverage (from 51%) across 840+ Python files with comprehensive pytest-django behavioral test suites
- Architected multi-tenant Chromebook management system with Google Workspace, Stripe, and Dell Warranty API integrations
- Implemented real-time features using Django Channels (WebSockets) with Redis/Celery for async task processing
Software Engineer (Internship)
- Built securities analysis platform that reduced reconciliation time by 60% for 20+ wealth advisors
- Optimized SQL Server queries and indexes, cutting report generation latency by 45%
- Delivered AI Tech Talk to 100+ employees on practical ML applications
- Developed and tested full-stack C#/.NET & React features for critical internal securities management platform
Curriculum Developer & Instructor
- Created 117 Jupyter notebooks covering Python from basics to GPU programming
- Achieved 90% student certification rate (PCEP/PCAP) across 120+ students
- Designed and taught 30+ hours of comprehensive coursework covering Web Development, OOP, and Data Structures & Algorithms
- Built automated testing pipeline with GitHub Actions for student code evaluation
Software Engineer
- Developed and launched event-planning suite using React, Node.js, and PostgreSQL, reducing scheduling conflicts by 30% across 9+ programs
- Implemented Docker for containerization, significantly reducing release cycles from days to hours
- Established role-based access control and JWT authentication, achieving zero critical findings in penetration testing
- Contributed to increasing data reporting efficiency by ~30% through modular UI elements and RESTful API integration
Research Intern
- Prototyped embedded systems incorporating GUIs and machine vision capabilities for robotics applications
- Engineered CNN-powered recycling-bin prototype attaining 95% material-detection accuracy
- Built Arduino-based EV GUI that boosted converted pickup truck range by approximately 20%
- Systematically collected, cleaned, processed, and analyzed experimental data using Python libraries