Aman Sharma

I’m a backend-focused software developer and AI enthusiast with a strong problem-solving approach, especially when it comes to edge cases and performance bottlenecks. I quickly absorb new technologies across the full software development lifecycle to build reliable, end-to-end AI-powered products.

In my current role as a Google Student Ambassador, I’ve spearheaded Gemini on-campus promotion through multi-department awareness campaigns, hosted hands-on demo sessions for 100+ students, and conducted candidate interviews to evaluate communication, technical aptitude, and community leadership.

My projects reflect how I ship production-minded AI systems: TalentLens uses a multi-stage AI ranking pipeline with FAISS vector search and semantic similarity to cut evaluation time from minutes to under 3 seconds; ContextLens delivers an offline-first AI developer companion and automates pull request documentation via Vertex AI Gemini. I also designed Sahaay as a federated multi-agent backend in Go, deploying Vertex AI Agent Engine for real-time volunteer ranking and integrating Aadhaar OCR/face matching with infrastructure-level request blocking.