Zabi Ullah

Backend & AI Integration Developer | Node.js · Python · LangChain · PostgreSQL

Talent

GujratMember since June 20, 2026

SupabaseNode.jsPythonLangChainPostgreSQLReactReact NativeJavaScriptCNNTensorFlowOpenCVRAGFirebaseAWSGCPAzuren8nOpenAIClaude APIsREST APIs

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SupabaseNode.jsPythonLangChainPostgreSQL

About

Backend developer with 2+ year building AI-powered systems that solve real problems, from automating HR workflows to making education accessible to millions of students. What I've built: EduMentor : A bilingual (Roman Urdu + English) AI learning platform for Punjab Board students (grades 9–12), serving a market of 4M+ students. Chapter-specific RAG chatbots, auto-generated lectures, quizzes, and notes. Built with React, Python, embedding-based retrieval.

AI Interviewer : Deployed at Hailey Schools & Colleges to automate candidate shortlisting: dynamic context-aware questions, automated scoring, and structured recruiter reports. Reduced HR screening workload significantly.

Harmony

Tune (EmoTrack) : Mobile app that detects mood from facial expressions (CNN, TensorFlow, OpenCV) and recommends Spotify playlists.

React

Native + Flask.

Astrobot : Voice-enabled Telegram assistant for inventory and business management. Text or voice in, database updated, voice response out.

Stack: Python, Node.js, LangChain, RAG pipelines, OpenAI/Claude APIs, n8n, React/React Native, Supabase, Firebase, AWS/GCP/Azure Open to backend or AI engineering roles (remote/hybrid).

Experience

Back End Developer at Synet Technologies (2026-05 – 2026-06)

Developed a runlist parser using JavaScript and Node.js to provide buy-list recommendations.
Built robust REST APIs and integrated Supabase PostgreSQL for data management.

Freelance AI Automation Developer at Self-employed (2026-01 – 2026-05)

Built an AI-powered Telegram bot for business automation. Handles inventory management, data entry, and Q&A via text or voice commands. Stack: Python, Node.js, LangChain, Supabase.

AI Automation Developer at Hailey Schools and Colleges (2025-06 – 2026-01)

Designed and developed an AI Interviewer agent to streamline the candidate shortlisting process.
Integrated AI Solutions to create dynamic, context-aware interview questions.
Automated evaluation workflows, enhancing candidate scoring and reporting efficiency.
Collaborated with academic staff to tailor the AI system for recruitment needs, significantly improving hiring efficiency.