Sneha Sharma

I’m a Software Engineer focused on scalable full-stack systems and AI-native products, with hands-on experience building responsive, production-minded interfaces and reliable backend workflows. I’ve developed AI-powered features using tools like LangGraph/LangChain and integrated voice/real-time capabilities through OpenAI-powered LiveKit systems.

In my internship as a Full-Stack Developer Intern, I built a scalable FastAPI backend with OpenAI-powered LiveKit voice agent integration and Redis caching, improving data retrieval speed by up to 45%. I also created React analytics dashboards using Redux Toolkit Query, Recharts, and performance-focused code-splitting, while integrating Stripe payments and maintaining 95% backend test coverage with pytest across 238+ automated tests.

In my project work, I build GenAI-driven platforms end to end—environment-aware vector retrieval (Qdrant/Pinecone), concurrency controls, and mutation safeguards that reduce failed retrievals by ~30% and accidental updates by ~50%. I’m also developing SaaS-style products like invisifeed and event platforms like devzoku, where I optimized dashboard latency by 60–70% and reduced server response time by 70% through efficient backend and queue-based designs.