Get to know me
I'm Shahnoor Mujawar — a multidisciplinary builder and full-stack engineer with 5+ years of experience shipping products end-to-end and working with fast-moving teams. My work lives at the intersection of backend systems, AI-driven workflows, and product engineering — where usefulness, reliability, and real-world impact matter more than buzzwords.
I didn't come from a traditional path. I learned by building — breaking things, fixing them, and shipping again. Over the years, I've worked across event-driven backends, worker pipelines, vector search integrations, and product features that balance performance with thoughtful design.
Beyond professional roles, I actively explore ideas through open-source projects, independent experiments, and build-in-public learning. These projects help me refine how I think about systems, developer experience, and how technology can actually help people — not just impress them.
What I care about most is craft and clarity — designing systems that are resilient and practical, writing clean, understandable code, building products that people actually use, and learning continuously through real-world feedback.
This website is a reflection of that journey — a place where I share my work, ideas, experiments, and the lessons earned along the way. If something here resonates, I'd love to connect.
Backend & Systems
Node.js, TypeScript, NestJS, Express.js, PostgreSQL, Redis, DynamoDB, MongoDB, Prisma, BullMQ, REST APIs, system design, worker pipelines, and event-driven backends.
Frontend & Mobile
React.js, React Native, Expo, Next.js, Tailwind CSS, Zustand, Redux, React Query / TanStack Query — with a focus on fast, predictable UIs that stay close to the underlying data and systems.
Infrastructure & DevOps
Docker, AWS (EC2, ECR, S3, RDS), Nginx, Linux, GitHub Actions, Cloudflare, GCP Cloud SQL, CI/CD, and observability tooling (Sentry, PostHog, Mixpanel) for shipping and operating reliable systems.
AI & Data Workflows
Vector databases, HuggingFace embeddings, semantic search, RAG pipelines, async workers, and background processing — wiring AI into products in ways that are reliable and observable.
How I like to work
End-to-end ownership, clear systems thinking, and tight feedback loops — from shaping problems with stakeholders, to designing the architecture, to shipping and iterating in production.