AI Agentic DeveloperAvailable

MuhammadFaraz Khan

I build multi-agent systems that move millions of records and act on them — ingestion, verification, enrichment, and outreach that runs itself once it's live.

Builds
Multi-agent systems
RAG · CDC pipelines
Scale
1.7M records
largest system shipped
Shipped
8 systems
client work & solo builds
Solo product
VibeUI
live · multi-tenant SaaS
Based
Karachi, PK
open to remote roles

$ trace agent-pipeline --records 1.7M --agents 2 --status live

Architecture I built at Marktec

Lead pipeline, in order, as data flows left to right: sources feed PostgreSQL, then dedupe and normalize, then verify and enrich, then a Retrieval Agent and Copywriter Agent generate and send outreach.

ingest

MySQL · Excel · Gmail

PostgreSQL

Dedupe + Normalize

validate

Reoon Verify

AI Enrich

agents

Retrieval Agent

Copywriter Agent

delivered

Outreach Sent

~/about

Engineering intelligence into every layer

I'm a Computer Science graduate from NED University of Engineering & Technology (2021 – 2025) who fell in love with what happens when large language models meet real production data.

Today I work as an AI Agentic Developer at Marktec, where I architected a lead-management platform that unified 1.7 million leads from MySQL, Excel and Gmail into PostgreSQL — kept in sync in real time with Kafka + Debezium CDC — and powered by a multi-agent system that writes personalized outreach at scale.

Whether it's a Vision-LLM resume analyzer, a RAG assistant over 500+ documents, or an ML system forecasting climate extremes — I build AI that ships.

Education

BS Computer Science
NED University (NED-UIT)
Sep 2021 – Jul 2025

Based In

Karachi, Pakistan
Open to remote & on-site roles
Available now

Certifications

HCCDA-AI · Huawei
Data Science Bootcamp · DataCrumbs
Databases · Coursera / Meta

Focus

Agentic AI · RAG · LLM Apps
Data Engineering · CDC Pipelines
ML & Computer Vision

~/experience

Where I've been building things

Feb 2026 — Present

AI Agentic Developer @ Marktec

Lead Management & Email Automation Platform — Client: DigitEMB (1.7M leads)

  • Ingested 1.7M leads from MySQL, Excel and Gmail into a unified PostgreSQL database.
  • Built real-time Change Data Capture with Apache Kafka + Debezium to continuously sync all sources.
  • Designed a deduplication & normalization pipeline resolving every lead to one canonical record.
  • Integrated Reoon Email Verifier for deliverability scoring and an OpenAI-powered enrichment bot for missing attributes.
  • Architected a multi-agent system (OpenAI Agents SDK): a Retrieval Agent queries PostgreSQL, a Copywriter Agent generates personalized outreach.
PythonPostgreSQLApache KafkaDebeziumOpenAI Agents SDKDocker
Jan 2026 — Feb 2026

AI Engineer Intern @ DataCrumbs

Resume Analyzer & Email Outreach Agent

  • Built a Streamlit app accepting resumes (image/PDF) + job descriptions, auto-saving uploads to Google Drive.
  • Implemented a Vision LLM pipeline extracting skills, experience & layout — scoring resume-to-JD match (0–100) with structured feedback.
  • Developed an email agent that formats & delivers the full analysis report to candidates; deployed on Streamlit Cloud.
  • Shipped an n8n workflow sending personalized daily proposal emails from Google Sheets — zero manual intervention.
PythonStreamlitVision LLMGoogle Drive APIn8nGoogle Sheets API

~/projects

Selected work I'm proud of

VibeUI landing page: 'Turn a conversation into a real UI component'
Live ProductFlagship

VibeUI

Solo full-stack / AI engineer · Full-stack AI web app · Developer tool

AI-powered UI generation from a conversation — describe your product, get a full set of production-ready React screens grounded in real competitor research.

VibeUI turns a short 4-question chat into a complete, multi-screen product UI. It interviews the user, researches their real competitors live on the web, and generates three production-ready React + Tailwind screens (e.g. landing + dashboard + settings) rendered in a live in-browser sandbox — built for people who can write the logic but freeze on frontend design decisions.

Highlights

  • Conversational 4-question “vibe interview” that produces a structured design brief
  • Live web-grounded competitor research (Google Search via Gemini) with a real-time activity log
  • Multi-screen generation — 3 model-chosen screens per product, not a single component
  • Live sandboxed preview (Sandpack) with code view and a screen switcher
  • Multi-tenant auth with encrypted, per-user “bring your own key” API keys
  • Per-account project history, plus a selectable generation model (Gemini 2.5 Flash / Pro)

Stack

Frontend

Next.js 16React 19TypeScriptTailwind CSS v4ZustandFramer MotionSandpack

Backend

FastAPIGoogle Gemini 2.5Google Search GroundingFernet Encryption

Data & Auth

SupabasePostgreSQLRow-Level Security

Deployment

VercelCustom Domains

More work

Keep scrolling →

Final Year Project

ClimateXtreme Predictor

ML climate forecasting system predicting rainfall, floods, droughts and heatwaves — achieving 70–75% validation accuracy on historical datasets.

PythonRandom ForestLSTMXGBoost

DocuQueryAI

RAG document query system enabling semantic search across 500+ PDF & TXT pages — cutting manual lookup effort by 20–25% vs. keyword search.

LangChainGeminiChromaDBRAG

WebTalk RAG Assistant

Conversational AI for natural-language Q&A over scraped website content — reducing user search time by ~20%.

LangChainChromaDBStreamlit

AutoVision CNN

CNN car-image classifier hitting 85% test accuracy, deployed via Flask as a real-time web prediction interface.

TensorFlowKerasFlask

There's more

Notebooks, experiments and smaller builds live on GitHub.

Explore GitHub

~/skills

My technical arsenal

AI & LLMs

OpenAI Agents SDKLangChainRAGPrompt EngineeringGPT-4GeminiLLaMA 2Vision LLM

Data Engineering

PostgreSQLMySQLApache KafkaDebeziumChromaDBFAISSPinecone

Programming & Frameworks

PythonFlaskStreamlitTensorFlowKeras

Tools & Platforms

DockerGitn8nREST APIsGoogle Sheets APIAWS

~/testimonials

What people say about working with me

Worked with Faraz on a data scraping project, and he did an excellent job. He gave me exactly what I wanted and was very flexible whenever I needed changes. My client on this project was a bit demanding, giving instructions day by day, but Faraz handled it well and met every deadline my client set. The leads he provided were good quality too. It was a really smooth experience overall, and I'm looking forward to working with him long term!
K

Kay

Founder & CEO · Konnex

Faraz took ownership of a 1.7-million-lead migration for our client and built the entire CDC pipeline and multi-agent outreach system with minimal supervision. He works like an engineer twice his experience level.
AM

Abdul Mueed

Team Lead · Marktec

During his internship, Faraz shipped a complete Vision-LLM resume analyzer end-to-end — from pipeline to deployment — in weeks. He learns fast and delivers production-quality work.
AH

Abis Hussain

AI Mentor · DataCrumbs

Faraz's final-year project on climate-extreme prediction showed strong applied ML skills and genuine research discipline. One of the more self-driven students I've supervised.
L

Dr. Lubaid

FYP Supervisor · NED University (NED-UIT)

~/contact

Let's build something intelligent together

Have a project in mind, a role to fill, or just want to talk agents and RAG? My inbox is always open.

Karachi, Pakistan