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Skills

  • Node.js
  • Next.js
  • PostgreSQL
  • Amazon Web Services
  • API
  • API Development
  • Artificial Intelligence
  • Automation Engineering
  • AWS
  • Chatbots
  • Data Extraction
  • Gemini AI
  • Generative AI
  • Generative AI Development
  • Large Language Models

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Services

  • AI Engineer | RAG & Generation Pipelines

    $10/hr Starting at $60 Ongoing

    Dedicated Resource

    AI Engineer | RAG Pipelines, LLM Integration & Production-Ready Generative AI I build AI features that hold up in production — document Q&A, semantic search over your own data, image and video generation,...

    Amazon Web ServicesAPIAPI DevelopmentArtificial IntelligenceAutomation Engineering

About

AI Engineer & Full-Stack Developer — I build production-ready AI features, RAG pipelines, and complete web & app products with Next.js, React, Node.js, FastAPI & AWS.

I'm a full-stack developer with 6+ years of experience building software that ships and holds up in production — not prototypes someone else has to rebuild.

My focus is AI engineering: document Q&A, semantic search over your own data, RAG pipelines, streaming AI chat, and image/video generation wired into real products. The easy part is calling a model API. The hard part is everything after — async job queues that survive failed inference calls, webhooks that stay correct when providers fire twice, retrieval that returns the right chunks, and cost controls that keep your model bill predictable. That's the layer I build.

WHAT I DO

• AI & LLM integration — RAG, semantic search, chatbots, streaming responses with citations
• Generative AI — image, video, and audio generation via Replicate and other model APIs
• Async pipelines — queuing, retries, idempotent webhooks, progress updates, graceful failure
• Full-stack web — Next.js, React, TypeScript, Node.js, FastAPI, PostgreSQL (Prisma), MongoDB
• App development — mobile and cross-platform builds
• Cloud & deployment — AWS, scalable infrastructure, cost optimization

RECENT WORK

AIVideosTube — an AI video generation platform serving 18,000+ users, built end to end, including the job pipeline, webhook reliability, per-user limits, and cost controls that keep unit economics stable as usage grows.

Pakistan Law Bot — an AI legal research platform. I built the full application around the retrieval layer: authentication, subscriptions, the API, and a streaming answer interface with source citations.

HOW I WORK

I test retrieval against your real documents and real questions before writing application code, because RAG fails on retrieval quality far more often than on the model. On generation work, I plan for what happens when a model call fails before choosing which model to use. Six years full-stack means the AI feature ships inside a working product.

Tell me what you're building and what your users will actually do with it, and I'll tell you what it takes to run it in production.

Work Terms

HOURS OF OPERATION
Available Monday–Saturday. I work flexible hours and overlap with US, UK, and European time zones for calls and daily updates. Response time is typically within a few hours.

COMMUNICATION
I keep you updated with clear, regular progress reports through Guru WorkRooms. I ask the questions that matter up front — what your users actually do, what happens when things fail — so we avoid surprises later. Available for calls, chat, or async updates, whatever suits you.

PAYMENT TERMS
I work through Guru SafePay for secure, milestone-based payments. For fixed-price projects, work is broken into clear milestones with defined deliverables, so you approve and release payment as each stage is completed. Hourly work is logged transparently.

MY APPROACH
Clear scope before we start. No scope creep without a conversation. I'd rather tell you honestly what a project realistically takes than overpromise and underdeliver. You get clean, documented, production-ready code — not a demo that breaks under real usage.