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Nauman A. — Senior Full Stack AI Engineer from Pakistan

Nauman A.

Senior Full Stack AI Engineer

Pakistan 3-6 years
Open to offersNew to Platform
Languages
EnglishUrdu
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About

Nauman A. is a seasoned Full Stack AI Engineer with over five years of experience crafting production-grade applications leveraging technologies like React, Node.js, and Python. Known for effectively integrating LLMs (Large Language Models) into practical, user-friendly interfaces, Nauman specializes in building systems that simplify complex AI functionalities. His expertise in constructing RAG pipelines, managing REST APIs, and developing scalable backend services using Java and Node.js has been demonstrated throughout his tenure as a Solution Architect at Syntivis AG. At Syntivis, he was instrumental in designing AI features from the ground up, ensuring seamless integration of OpenAI APIs into backend services. Additionally, Nauman has a proven track record as a freelance Full Stack AI Engineer, successfully delivering AI-driven solutions across SaaS, e-commerce, and fintech industries. His educational background includes a Bachelor of Software Engineering from Riphah International University, further solidifying his technical foundation.

Experience

  • Solution Architect — Full Stack & AI

    Syntivis AG · 2025 — Present
    Developed and deployed AI-driven features across the stack, integrating LLM APIs and delivering React frontends. Designed RAG pipelines to facilitate document-aware responses, combining vector search with LLM generation. Managed the integration of OpenAI and Claude APIs into backend services, addressing streaming and response validation. Created workflows where LLMs autonomously performed multi-step tasks. Built Node.js and Java backend APIs optimized for low latency and high availability. Established CI/CD pipelines with Azure DevOps for reliable deployments, and collaborated with product and design teams to create user-friendly interfaces.

  • Back-End Developer

    CONVSYNC · 2024 — 2025
    Developed AI-enhanced internal tools utilizing LLM APIs to automate backend tasks such as code review and documentation generation. Improved Node.js and Java Spring Boot services by enhancing modularity for easier integration of AI features. Established consistent API design standards to facilitate connection to LLM function-calling workflows. Provided mentorship to junior developers on topics including prompt engineering and backend service readiness for AI integration.

  • Backend Developer

    INOTECH SOLUTIONS · 2023 — 2024
    Constructed Java/Spring Boot backend services alongside React frontend components for client-facing applications. Integrated third-party APIs and created Python scripts for data processing workflows. Improved SQL queries and enhanced logging and error handling with robust REST API development.

  • Cloud Developer

    SKIPQ · 2022 — 2023
    Designed and implemented Node.js microservices on AWS, utilizing EC2, S3, and Lambda alongside CI/CD automation practices. Gained practical experience in serverless architecture and cloud-native design methodologies.

  • Junior Java Backend Developer

    KRYPTOHIVE · 2021 — 2022
    Developed Java-based REST APIs and backend services tailored for blockchain-integrated applications. Acquired foundational experience in distributed systems, secure coding practices, and backend architecture for production environments.

  • Full Stack AI Engineer (Freelance)

    Upwork & Fiverr · 2021 — Present
    Delivered AI-driven products across various sectors such as SaaS, e-commerce, and fintech, handling the frontend, backend, and AI components. Developed customized RAG systems that enabled document querying through natural language using LangChain, vector databases, and OpenAI. Created AI agents capable of tool use for tasks like web searches and API calls. Engineered React frontends featuring real-time LLM responses for a conversational user experience. Integrated LLM APIs into existing SaaS platforms to enhance functionality while maintaining architecture integrity. Oversaw the client lifecycle from requirement scoping to iterative feedback-driven delivery.

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