
NAVEED AHMED
I will build a full stack AI SaaS MVP or voice agent with Nextjs and OpenAI
Compétences

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Portfolio
Expérience professionnelle
Web Developer
Self Level • Indépendant
Oct 2025 - Present • 9 mos
Full-Stack Developer specializing in React.js, Next.js, JavaScript, and modern web application development. Experienced in building responsive frontend interfaces, backend functionality, dashboards, landing pages, and portfolio websites using technologies such as Tailwind CSS, Node.js, APIs, and database integration. Currently working on full-stack projects and continuously improving skills in scalable web development and modern software technologies.
AI Core Engineer & Full-Stack Next.js Developer
Self Employed • Indépendant
Sep 2025 - Present • 10 mos
Engineered production-grade AI architectures, conversational voice agent pipelines, and white-labeled full-stack SaaS dashboards for fast-moving B2B applications and Western AI Automation Agencies. Specialized in translating complex business workflows into highly scalable, low-latency codebases using a modern technical ecosystem. Key Engineering & Architecture Milestones: Real-Time Voice Infrastructure: Deployed custom conversational AI voice agents utilizing Vapi, Node.js, and specialized webhook pipelines, optimizing real-time audio streaming to achieve sub-500ms latencies for customer-facing client environments. Full-Stack SaaS & RAG Architectures: Architected secure, multi-tenant administrative dashboards and knowledge-retrieval (RAG) applications using Next.js (App Router), TypeScript, Tailwind CSS, and shadcn/ui. Relational & Vector Databases: Designed optimized relational database schemas and vector similarity matching features using Supabase, PostgreSQL, and Prisma ORM, enforcing strict row-level security (RLS) layers for isolated corporate data protection. Deterministic Data Parsing: Integrated OpenAI Structured Outputs to execute high-throughput document and resume text parsing, ensuring 100% reliable, zero-hallucination JSON schema extraction for internal automation frameworks. Operational Delivery Framework: Operated entirely within a high-velocity, asynchronous delivery model. Managed project lifecycles text-first via clear functional documentation, automated Slack progress tracking, and structured GitHub pull requests—drastically reducing client operational overhead by eliminating the need for synchronous meetings.