At SoulSync & Active Defense Systems, I reviewed AI-generated and application code in Python and JavaScript/TypeScript for logic, syntax, quality, and performance. I also developed multi-turn debugging workflows to assess root-cause identification and bug explanations.
I created prompts to improve AI-generated code consistency and reduce syntax errors and unsupported library usage in Django and React implementations. I benchmarked AI model performance across React, NestJS, and PyTorch.
With IEEE PuneCon & Active Defense Suite, I contributed to research on deception technology and digital decoys, and reviewed C++ systems code for memory-safety concerns. I also evaluated backend architecture components using NestJS, PostgreSQL, Redis, JWT, and BCrypt.
