I am a frontend-heavy Full Stack Engineer with 15+ years building production React applications and Node.js backends. I have led the design, development, and optimization of SaaS platforms frontend using React 18 + TypeScript + Vite, with Node.js powering the backend API layer. I focus on performance, scalability, and clean code in fast-paced, agile R&D environments. I’m comfortable working independently and collaboratively within remote teams.

Waseem Mansha

I am a frontend-heavy Full Stack Engineer with 15+ years building production React applications and Node.js backends. I have led the design, development, and optimization of SaaS platforms frontend using React 18 + TypeScript + Vite, with Node.js powering the backend API layer. I focus on performance, scalability, and clean code in fast-paced, agile R&D environments. I’m comfortable working independently and collaboratively within remote teams.

Available to hire

I am a frontend-heavy Full Stack Engineer with 15+ years building production React applications and Node.js backends. I have led the design, development, and optimization of SaaS platforms frontend using React 18 + TypeScript + Vite, with Node.js powering the backend API layer.

I focus on performance, scalability, and clean code in fast-paced, agile R&D environments. I’m comfortable working independently and collaboratively within remote teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
Urdu
Fluent
Dutch
Beginner

Work Experience

Head of Engineering & AI at Obenan B.V.
January 1, 2022 - Present
Architected and delivered full-stack SaaS platform end-to-end: React 18 + TypeScript + Vite frontend, Node.js/Python microservices, PostgreSQL + MongoDB data layer, event-driven AWS infrastructure (Lambda, SQS, SNS, EventBridge, Step Functions) handling 50K+ API calls/day. Built responsive UIs with SPA routing and progressive enhancement. Designed Nexus, a multi-agent AI platform with 11 agents orchestrated by a reasoning engine. Built production RAG pipelines with vector search and reranking. Scaled platform to EUR 1M ARR serving 1,000+ merchants in 15+ countries.
Freelance Full-Stack & AI Developer at Self-employed
January 1, 2017 - January 1, 2022
Delivered 20+ production web and mobile apps using React, React Native, Node.js, Python, and serverless AWS. Built AI-powered chatbot and recommendation systems integrating NLP models and OpenAI APIs. Architected serverless backends on AWS Lambda, API Gateway, DynamoDB — reduced infra costs by 40%; React Native apps serving 10K+ users.
Principal Software Engineer & Team Lead at Confiz Solutions
January 1, 2013 - January 1, 2017
Led a team of 10+ engineers building multi-tenant enterprise SaaS with Node.js, PostgreSQL, and AWS. Built Alexa voice skills (Node.js + AWS Lambda) — early conversational AI for enterprise. Established CI/CD pipelines, automated testing, and Agile/Scrum practices across delivery teams.
Senior Software Engineer / Software Engineer at Various US Enterprise Clients
January 1, 2008 - January 1, 2013
Full-stack web apps, RESTful APIs, and digital asset management platforms for US enterprise clients — full-cycle delivery.
Full Stack Developer (React + Node.js) at Self-Employed (Global Software Consulting)
January 1, 2017 - January 1, 2022
Delivered 20+ production web and mobile applications for global clients with a frontend-first approach using React, React Native, and Node.js. Built responsive, performant UIs for SaaS products with complex data visualization, form handling, and real-time updates. Architected serverless Node.js backends on AWS Lambda, API Gateway, DynamoDB — reduced infrastructure costs by ~40% while serving 10K+ users.
Principal Software Engineer & Team Lead at Confiz Solutions
January 1, 2013 - January 1, 2017
Led a 10+ engineer team building multi-tenant enterprise SaaS using Node.js, PostgreSQL, and AWS; handled 100K+ concurrent users. Established CI/CD pipelines, automated testing, code review processes, and Agile/Scrum practices for distributed remote teams. Managed client communications and offshore delivery for US accounts.
Senior Software Engineer / Software Engineer at Previous Roles
January 1, 2008 - January 1, 2013
Full-stack web applications, RESTful APIs, and digital asset management platforms for US enterprise clients.

Education

MS, Software Project Management at FAST-NUCES
January 11, 2030 - April 24, 2026
BS (Hons), Computer Science at PUCIT, Punjab University
January 11, 2030 - April 24, 2026
MS, Software Project Management at FAST -NUCES
January 11, 2030 - April 24, 2026
BS (Hons), Computer Science at PUCIT, Punjab University
January 11, 2030 - April 24, 2026

Qualifications

AWS Cloud Practitioner
January 11, 2030 - April 24, 2026
OpenAI Agents SDK: Multi-Agent Systems
January 11, 2030 - April 24, 2026
LangGraph: Multi-Agent Workflows
January 11, 2030 - April 24, 2026
LangChain / DeepLearning.AI Generative AI with Large Language Models
January 11, 2030 - April 24, 2026
AWS Cloud Practitioner
January 11, 2030 - April 24, 2026

Industry Experience

Software & Internet, Professional Services
    paper Obenan MCP Server — AI-Native Business Management via ChatGPT & Claude (47 Tools, Production)

    What It Is

    A production MCP (Model Context Protocol) server that connects AI apps like ChatGPT and Claude directly to the Obenan platform — letting business owners manage their locations, reviews, and entire online presence through natural language conversations.

    Live: https://www.twine.net/signin


    What It Does

    Everything you do from the Obenan dashboard — now accessible directly from ChatGPT or Claude:

    • Manage business locations and profiles
    • Analyze and reply to customer reviews
    • Track Google Search performance
    • Update business hours, descriptions, keywords, contacts, and menus
    • 47 tools, all through natural conversation

    No dashboards. No clicking through menus. Business owners interact with their data the way they think — in plain language.


    How It Works

    1. Connect ChatGPT or Claude to mcp.obenan.ai and sign in with your Obenan account
    2. The AI assistant auto-discovers all 47 available tools
    3. Ask anything — “How are my reviews this month?” or “Update my business hours”
    4. The server securely calls the Obenan API on your behalf and returns results
    5. Your AI assistant presents everything in a clear, conversational format

    Built With

    LayerTechnology
    RuntimePython 3.13 — FastMCP (FastAPI), async HTTP, structlog
    AuthOAuth 2.0 + PKCE with JWT validation
    DeploymentDocker + AWS ECS Fargate via Terraform (IaC)
    CI/CDGitHub Actions — automated deployments on every push
    Testing1,730 unit + integration tests with real API validation

    Why It Matters

    This project sits at the intersection of AI agent tooling and real-world SaaS integration — one of the most in-demand engineering skills in 2025. It demonstrates:

    • Deep expertise in the Model Context Protocol (MCP) — the emerging standard for AI tool integration
    • Production-grade OAuth 2.0 + PKCE security for multi-tenant AI access
    • Infrastructure as Code on AWS with full CI/CD automation
    • A complete test suite of 1,730 tests ensuring production reliability

    If you need an engineer who can build AI-native integrations, agentic backends, or MCP servers for your product — this is what that looks like in production.