Ahmad Naveed

I’m a Full Stack AI Engineer with 6 years of experience architecting and shipping production-grade systems across distributed SaaS environments. I bring deep expertise in LLM integration, agentic orchestration, retrieval pipeline design, and scalable API development.

In my current role as a Senior Full Stack Engineer at DeepQuery, I build full-stack features using Next.js, TypeScript, Node.js, Python, and FastAPI based on each client project. I design and implement RAG pipelines, chatbots, and AI agents using vector databases like OpenSearch, Pinecone, and Supabase, and I create Next.js dashboards to interact with AI models and manage datasets. I also deploy solutions across AWS and Azure, setting up Lambdas, containers, GPU-backed environments, and CI/CD pipelines when needed.

Previously, at Systems Limited I worked on multiple SaaS applications using TypeScript across React/Next.js and Python-based services, designing modular frontend systems with predictable state management and optimizing relational database schemas with PostgreSQL/MySQL. Earlier at Devsinc, I helped deliver early-stage MVPs and product platforms, implemented RESTful APIs with authentication (including OAuth sign-in), and supported stable production releases through GitHub-based CI/CD workflows.

I’m driven to build systems that are easy to maintain, scale, and earn user trust—whether that’s secure student workflows in “SRS,” transparent ranking and AI-assisted judging in “Rankk,” or a marketplace experience with booking and Stripe payments in “Talkspresso.” I enjoy partnering with stakeholders, translating problems into technical approaches, and delivering measurable improvements from architecture through deployment.