Animesh Sharma

I’m a Full Stack Developer focused on shipping production-grade applications that combine strong engineering fundamentals with AI-driven capabilities. I’m currently pursuing a B.Tech in Computer Science Engineering (Honors in AI & Data Science) at SAKEC, with a cumulative GPA of 9.07/10.

From 2023–present on independent projects, I’ve architected and deployed five full-stack applications using React, Django, FastAPI, and PostgreSQL. I build secure authentication with JWT tokens and role-based access control (RBAC), design RESTful APIs with validation and error handling, and optimize database schemas for scalability.

I’m especially excited by practical AI systems with real performance targets. In LawLens-X, I engineered a production-grade multi-agent contract risk platform using FastAPI and Ollama with hybrid deterministic + LLM analysis, achieving 75–85% accuracy on legal risk detection. In Triage Assistant, I built an emergency triage workflow with sub-500ms latency by combining ChromaDB retrieval, sentence-transformers, and optimized reasoning for ~310ms end-to-end response time.

I also enjoy building platforms that reach users and stay reliable in deployment. BenefitBridge connects 1,000+ users to welfare schemes with JWT-based dashboards and PostgreSQL query optimization for sub-100ms responses. Beyond web and AI, I’ve engineered a hardened custom Linux distribution (AppArmor + Fail2Ban) and built a modular multi-agent health assistant with memory compression and streaming responses.