I build production AI SaaS apps for founders and small teams — RAG systems, embeddable chatbots, and workflow automation that ship in weeks, not months. My niche is the gap between "AI demo that works on a screenshot" and "AI feature that runs reliably in production." That means I bring both: AI integration (OpenAI, Groq, Qdrant, ChromaDB, FastAPI) and the engineering that makes it real (React, Node.js, MERN, Docker, CI/CD, AWS). Recent work: • DashBot — RAG-powered support chatbot with analytics dashboard. Cuts routine support volume ~40%. • RAG Workspace — Multi-tenant internal knowledge base with role-based admin console and per-user chat history. • InboxAI — Gmail → Slack/Notion/ClickUp automation with AI urgency classification. • Lecture Study — EdTech platform turning YouTube lectures into structured study sessions with AI-generated quizzes. Previously shipped 3 production MERN applications at Byte Bricks: containerised backend services on AWS Fargate (40% fewer environment bugs), CI/CD pipelines (30% faster deploys), and REST API optimisation (25% average response time improvement). Based in London. Open for work. I respond in under 24 hours and I don't ghost.…

Junaid Ahmad Noor

I build production AI SaaS apps for founders and small teams — RAG systems, embeddable chatbots, and workflow automation that ship in weeks, not months. My niche is the gap between "AI demo that works on a screenshot" and "AI feature that runs reliably in production." That means I bring both: AI integration (OpenAI, Groq, Qdrant, ChromaDB, FastAPI) and the engineering that makes it real (React, Node.js, MERN, Docker, CI/CD, AWS). Recent work: • DashBot — RAG-powered support chatbot with analytics dashboard. Cuts routine support volume ~40%. • RAG Workspace — Multi-tenant internal knowledge base with role-based admin console and per-user chat history. • InboxAI — Gmail → Slack/Notion/ClickUp automation with AI urgency classification. • Lecture Study — EdTech platform turning YouTube lectures into structured study sessions with AI-generated quizzes. Previously shipped 3 production MERN applications at Byte Bricks: containerised backend services on AWS Fargate (40% fewer environment bugs), CI/CD pipelines (30% faster deploys), and REST API optimisation (25% average response time improvement). Based in London. Open for work. I respond in under 24 hours and I don't ghost.…

Available to hire

I build production AI SaaS apps for founders and small teams — RAG systems, embeddable chatbots, and workflow automation that ship in weeks, not months.
My niche is the gap between “AI demo that works on a screenshot” and “AI feature that runs reliably in production.” That means I bring both: AI integration (OpenAI, Groq, Qdrant, ChromaDB, FastAPI) and the engineering that makes it real (React, Node.js, MERN, Docker, CI/CD, AWS).
Recent work:
• DashBot — RAG-powered support chatbot with analytics dashboard. Cuts routine support volume ~40%.
• RAG Workspace — Multi-tenant internal knowledge base with role-based admin console and per-user chat history.
• InboxAI — Gmail → Slack/Notion/ClickUp automation with AI urgency classification.
• Lecture Study — EdTech platform turning YouTube lectures into structured study sessions with AI-generated quizzes.
Previously shipped 3 production MERN applications at Byte Bricks: containerised backend services on AWS Fargate (40% fewer environment bugs), CI/CD pipelines (30% faster deploys), and REST API optimisation (25% average response time improvement).
Based in London. Open for work. I respond in under 24 hours and I don’t ghost.

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Skills

Experience Level

Tailwind
Expert
Python
Expert
AWS
Expert
Express
Expert
JavaScript
Expert
Node.js
Expert
React JS
Expert
AI Chatbot
Intermediate

Language

English
Intermediate

Work Experience

Full Stack Developer at Byte Bricks
January 6, 2025 - August 29, 2025
• Built and shipped 3+ full-stack MERN applications using React, Node.js, Express, and MongoDB, each deployed to production and serving live users. • Containerised backend microservices using Docker and deployed on AWS Fargate, improving deployment consistency and reducing environment-related bugs by approximately 40%. • Designed and implemented CI/CD pipelines from scratch, cutting deployment time by approximately 30% and enabling the team to ship features faster. • Developed and optimised 15+ RESTful API endpoints, improving average response time by 25% through query optimisation and caching strategies. • Participated in Agile sprints across a team of 5 engineers, conducting code reviews, writing unit tests, and maintaining Git-based workflows on GitHub.
Full Stack Developer at Hattick Solutions
June 3, 2024 - November 29, 2024
Delivered 5+ client-facing features across React and Node.js applications, contributing to a product used by hundreds of active users. • Wrote clean, modular, and reusable code following software engineering best practices; authored unit tests that improved code coverage across key modules. • Resolved 10+ production bugs under tight deadlines, collaborating with cross-functional teams via Git/GitHub in an Agile/Scrum environment.

Education

Bachelor in Computer Science at National University of Computer and Emerging Sciences
August 24, 2020 - December 30, 2024

Qualifications

Bachelor in Computer Science
August 24, 2020 - December 31, 2024

Industry Experience

Software & Internet
    Lecture Study

    EdTech platform that turns any YouTube lecture into a structured study session with summaries, quizzes, and a per-lecture Q&A chat.

    Problem:
    Students and self-learners want study materials from YouTube lectures, not just raw transcripts.
    Approach:
    Pulls public captions, generates AI study guides and MCQs, layers a knowledge-check chat scoped to each lecture.
    Outcome:
    Per-lecture saved sessions, study guides and key ideas on demand, quizzes with explanations, light/dark UI.

    InboxAI

    Email automation that connects Gmail to Slack, Notion, and ClickUp. AI classifies urgency and routes work without manual triage.

    Problem:
    Ops teams and founders drown in inbox triage; important client emails get lost, low-priority noise gets too much attention.
    Approach:
    Gmail OAuth, AI classification of each new email, conditional routing to Slack alerts, Notion tasks, or ClickUp tickets.
    Outcome:
    Preview mode for safe testing, configurable auto-run intervals, dashboard for workflow monitoring and health.

    RAG Workspace

    Multi-tenant internal knowledge base for companies. Admins upload documents, users chat with them, and each workspace stays fully isolated.

    Problem:
    HR, ops, and compliance teams need grounded answers from internal docs — not generic AI responses.
    Approach:
    FastAPI backend with ChromaDB vector store, React frontend, role-based admin console, JWT auth.
    Outcome:
    Per-workspace document isolation, per-user chat history, admin console for managing teams and upload permissions.

    DashBot

    Embeddable AI customer-support chatbot with a real analytics dashboard. Tracks unanswered questions, routing breakdown, and per-bot usage.

    Problem:
    Small SaaS teams burn hours on repetitive support tickets and have no visibility into what users actually ask.
    Approach:
    RAG over uploaded docs, one-line embed script, full dashboard for analytics and unanswered intents.
    Outcome:
    Reduces routine support volume by ~40% based on internal testing; usable in any website with a single script tag.