Hi, I'm Ahmad Naveed

I architect and ship full-stack AI products for startups and growth-stage teams, turning complex workflows into maintainable platforms that scale across users, data, and infrastructure.

Explore my latest projects showcasing my work across SaaS platforms, AI-assisted workflows, RAG systems, scalable APIs, and modern full-stack engineering.

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Asia

Experience

  • Senior Full Stack Engineer @DeepQuery

    Jun 2024 - Present | US - Remote

    Develop full-stack features with Next.js, TypeScript, Node.js, Python, and FastAPI; design RAG pipelines, chatbots, and AI agents using OpenSearch, Pinecone, Supabase, and vector databases; deploy AI systems across AWS and Azure.

  • Full Stack Engineer @Systems Limited

    Aug 2021 - May 2024 | US - Remote

    Built SaaS applications across React, Next.js, Node.js, and Python services; architected modular frontend systems, optimized PostgreSQL and MySQL schemas, integrated Stripe and Telnyx, and supported CI/CD with GitHub Actions.

  • Software Engineer @Devsinc

    Oct 2019 - Jul 2021 | PK - Hybrid

    Delivered MVPs and product platforms with JavaScript, TypeScript, Node.js, NestJS, React, and Next.js; implemented REST APIs, OAuth authentication, relational data models, and GitHub-based deployment workflows.

Education

  • Bachelor of Science in Computer Science @University of Engineering and Technology

    Sep 2015 - Aug 2019 | Pakistan

    Completed a computer science degree with a foundation in software engineering, databases, systems, and application development.

  • ChatGPT Prompt Engineering for Developers @Training Course

    Training | Online

    Covered fundamentals and advanced applications of ChatGPT prompt engineering for production workflows.

  • Building Systems with the ChatGPT API @Training Course

    Training | Online

    Focused on building application systems that use the ChatGPT API for practical AI-assisted features.

  • LangChain for LLM Application Development @Training Course

    Training | Online

    Studied LLM application development patterns with LangChain, including orchestration and retrieval workflows.

  • AI Agents in LangGraph @Training Course

    Training | Online

    Explored AI agent design and implementation using LangGraph for stateful, multi-step workflows.