Zuber Khan — Software Engineer

Software engineer focused on building scalable backend systems and production-grade GenAI platforms, with strong ownership across the full development lifecycle. Experienced in taking products from 0 → production, working in startup environments where I own features end-to-end from system design and implementation to deployment, monitoring, and scaling. I’ve built and optimised REST and GraphQL APIs, microservices, and cloud-native systems designed to support thousands of active users while maintaining reliability and performance. My work includes designing Redis-based queues and caching layers to handle rate limits and concurrency, integrating third-party services and CRMs, and setting up CI/CD pipelines for automated deployments and faster iteration cycles. I primarily work with Node.js, TypeScript, Express.js, React, Next.js, MongoDB, PostgreSQL, MySQL, Redis, Docker, and cloud platforms across AWS and GCP. On the AI side, I build and integrate Generative AI solutions using Gemini APIs, LangChain, RAG pipelines, NLP workflows, and vector databases like Pinecone, with a focus on shipping AI features that are production-ready, scalable, and user-facing. I enjoy taking full ownership of what I build, solving problems around scalability, API reliability, cloud infrastructure, and developer experience, and working in fast-moving teams where impact and execution matter more than titles.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and cloud-native solutions.

Location: Pune, Maharashtra, India

Experience: 1 yr