S
Shanza Nemat
From Pakistan 05:21 AM (GMT+05:00)
$25/hr or $48,000/yr

Active over a week ago


Member since Oct 2026

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Senior Full-Stack & AI Engineer

Full-Stack Engineer
Available for hire
Years of experience
5+ years
Experience level
Senior
Available for
Full-time, Part-time, Contract
Available from
23 Oct 2026
Download Resume / CV

I'm a Senior Full-Stack & AI Engineer with 5+ years of production experience building React/Next.js frontends and Python/Node.js backends on PostgreSQL and AWS. I own features end to end - from data model and APIs to polished UI, CI/CD and cloud deployment (AWS, Docker, Kubernetes).

I ship AI features that reach real users: GPT-4 document Q&A, RAG over vector databases (Pinecone, pgvector), AI agents (LangChain, LangGraph), LLM evaluation and n8n workflow automation. Recently I built a real-time AI voice assistant with LiveKit, ElevenLabs, n8n and a RAG agent.

Highlights:

  • Built a consumer rewards app and multi-region admin dashboards that contributed to ~40% growth in active users
  • Built a content platform serving a personalized feed to 10,000+ users, with OpenAI-powered summarization cutting curation effort by ~60%
  • Implemented real-time stock sync for 100,000+ SKUs, reducing oversell incidents by ~85%

I'm looking for a remote full-stack or AI engineering role where I can own product features, build LLM-powered experiences and work with a strong product team.

Employment History

Full-Stack Developer (Contract) at Tangible Current 2026 - Now
• Built and maintained a React-based internal deal-operations portal (private equity secondary market) with responsive interfaces for deal, fund, client, listing and bid workflows. • Developed reusable components and data-driven dashboards for deal management, pricing and fund workflows, reducing time spent searching for deal context by ~30%. • Built pricing dashboards comparing incoming bids against NAV in real time, speeding up pricing decisions by ~35%. • Integrated an AI chat assistant so users can query deal information and get contextual next-action suggestions. • Worked in a React + FastAPI + PostgreSQL monorepo with Docker and AWS ECS.
Full-Stack Developer at Lalec Recycling 2024 - 2025
• Architected a consumer rewards app and multi-region admin dashboards with React.js and Next.js, contributing to ~40% growth in active registrations within 6 months. • Implemented multi-tenant RBAC across frontend and backend, reducing support overhead by ~50%. • Integrated partner APIs for automated promo-code and coin issuance, cutting fulfilment time by ~70%. • Built Python/PostgreSQL services for auto-expense classification and GPT-based document Q&A. • Deployed on AWS ECS Fargate with CI/CD and security monitoring, achieving 99.9% uptime.
Full-Stack Developer at Trending Content 2022 - 2024
• Built a scalable content platform with Next.js, React, TypeScript and Node.js, aggregating Reddit and YouTube data into a personalized feed for 10,000+ users. • Developed content discovery, filtering, tagging and recommendation interfaces. • Implemented OpenAI-powered summarization, tagging and feed ranking, reducing editorial curation effort by ~60%. • Built moderation pipelines and deployed infrastructure on AWS Lambda, ECS and S3.
Full-Stack Developer at Seemas AI 2021 - 2021
• Built the Next.js/TypeScript frontend in a microservices architecture covering tax onboarding, compliance, messaging and media modules, reducing per-feature release time by ~25%. • Built interactive financial dashboards with real-time valuation calculations, reducing manual valuation work by ~40%. • Developed a messaging interface with text chat, voice, speech-to-text and text-to-speech for an AI assistant. • Integrated Mux Video with adaptive streaming, reducing video load times by ~30%. • Implemented GPT-4 document Q&A and auto-expense classification, reducing manual data entry by ~65%.
Full-Stack Developer at The European Outdoors 2019 - 2020
• Built a unified inventory and multi-channel order management platform on the MERN stack, integrating Shopify, Walmart and Amazon APIs. • Implemented real-time stock sync for 100,000+ SKU datasets, reducing oversell incidents by ~85%. • Developed scheduled Node.js and Celery jobs to process large product catalogues and order feeds. • Built procurement dashboards that reduced planning time by ~20%.

Education

BS Software Engineering at Punjab University College of Information Technology (PUCIT), Lahore 2017 - 2021