I turn fuzzy product ideas into working AI systems. My favorite problems sit where model orchestration, product UX, and infrastructure meet: the place where a prototype has to become something people can actually use.
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01 / BUILD AI-native systems Agents, RAG pipelines, MCP, model integrations |
02 / SHIP Products people touch Web, iOS, Android, realtime and voice |
03 / OPERATE Production infrastructure Cloud, Linux, CI/CD, observability and releases |
Important
open_to_work: true I’m interested in full-stack and AI engineering roles where I can own meaningful product outcomes. Start a conversation →
Five AI counsellors, RAG over university data, smart matching, application tools, and live voice guidance.
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AI research chat, curated clinical trials, expert booking, payments, and communities in one product.
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Match by goals and interests, chat before speaking, then build the habit through live voice sessions and circles.
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Open the full module map · languages, frameworks, data, cloud, and systems
| Module | Loaded tools |
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| AI systems | Agentic AI RAG MCP AI Integration |
| Languages | TypeScript JavaScript Dart SQL C C++ |
| Frontend | React Next.js Tailwind CSS |
| Mobile | Flutter React Native |
| Backend & data | Node.js Express PostgreSQL MongoDB Prisma Drizzle |
| Cloud & delivery | Docker CI/CD GitHub Actions Azure AWS GCP Linux |
Public GitHub cards reflect public repositories and contribution visibility settings.
NOWFEB 2026 →
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AI Full-Stack Developer · Humanity Founders Building and shipping Collegefind.ai and Collabiora across model integration, product UX, backend services, RAG workflows, payments, and release automation. Full-Stack Flutter Agentic AI RAG CI/CD
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B.Tech · Computer Science & Engineering · University of Kashmir · 2026
Kashmir, India · building for the web, mobile, cloud, and everything between
SHAH_OS visual language · product truth from shahidshamim.in · always shipping


