AI Software Engineer

Muhammad Ammar Hussain

Lahore, Pakistan. Building AI systems end to end.

I build the whole system, not just the model.

Computer vision

Raw satellite raster to production heatmaps.

NASA HLS imagery through a FastAPI processing pipeline, vegetation indices, background workers.

Agentic AI

A voice agent that holds a real conversation.

Parallel LangGraph reasoning over live Twilio calls, sub-second, with barge-in.

Platform

Multi-tenant, event-driven, isolated by design.

FastAPI, Celery and Redpanda behind PostgreSQL Row-Level Security.

Owned end to end.

Data pipeline through deployment.

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Summary

AI Software Engineer who builds the whole system, not just the model.

Experience spans satellite imagery analytics, YOLO-based brand compliance detection, multi-tenant event-driven SaaS platforms, and real-time conversational AI voice agents.

Comfortable owning a project end to end, from data pipeline through deployment, with a growing focus on real-time tracking and agentic AI systems.

Based in

Lahore, Pakistan

Focus

Computer vision · Agentic AI

Currently

Magic Makers Lab

Working

Remote-first, end to end

CGPA at FAST NUCES

Consecutive Dean's List

Production systems shipped

Projects, start to finish

Featured projects

Systems built
start to finish.

01 · 2025Trademark Guard

Trademark Guard

Built at Magic Makers Lab

Catalogue monitoring against USPTO registrations.

Next.js 15
FastAPI
Celery
PostgreSQL
Elasticsearch
Redpanda
Redis
Docker

Read the case study

02 · 2025AI Voice Agent Receptionist

AI Voice Agent Receptionist

Built at Magic Makers Lab

Qualifies real estate leads on live inbound calls.

Python
FastAPI
LangGraph
Google Gemini
faster-whisper
Kokoro ONNX TTS
Twilio
PostgreSQL

Read the case study

03 · 2025Geoverdant

Geoverdant

Built at Magic Makers Lab

NASA HLS imagery into vegetation heatmaps.

Python
FastAPI
Rasterio
PostgreSQL
Docker
Next.js
NestJS

Read the case study

04 · 2025Brand Compliance Engine

Brand Compliance Engine

Built at Magic Makers Lab

Logo detection that holds up in the wild.

Python
YOLO
OpenCV

Read the case study

Experience

Where the work
ships.

Jun 2025 – Present

Lahore, Pakistan

AI Software Engineer

Magic Makers Lab

Engineering Intern → AI Software Engineer

Built a geospatial analytics platform on a dedicated FastAPI processing service with background workers, retrieving NASA HLS satellite imagery and processing large raster datasets to compute vegetation indices and generate heatmap visualizations.
Developed a YOLO based logo detection pipeline with image processing techniques to improve robustness to scale, lighting, viewpoint, and partial occlusion, extending into validation of typography, color, and overall brand consistency.
Architected a multi tenant, event driven SaaS platform using FastAPI, Celery workers, and a Redpanda message bus with strict Row Level Security isolation.
Shipped a real time conversational voice agent that qualifies inbound leads over live phone calls with sub second latency.

Trademark Guard AI Voice Agent Receptionist Geoverdant Brand Compliance Engine

More work

Full stack and desktop systems built before the move into AI engineering.

FLS Learning System
2025
Desktop application
A native learning management desktop app with an embedded PDF viewer, timetable management, and progress tracking.
WPF (.NET 8) / ASP.NET Core
Precasto
2025
Industrial software
Factory operations software for precast plants: real time stock tracking, production scheduling, and automated reporting.
Qt / Python
Source
BooksExchange
2024
Marketplace platform
A hyperlocal book swap platform with map based discovery, user verification, and Stripe Connect payments.
Next.js / NestJS / Supabase / Stripe
Waves
2024
Booking system
An airline booking system with live seat maps that update across every connected client at once.
React / Node.js / MongoDB
Source

Stack

The tools, and
what they're for.

Core

Python
TypeScript / JavaScript
SQL

Frontend

Next.js
React
TailwindCSS

Vision & ML

PyTorch, Scikit-learn
OpenCV, PIL
YOLO, Object Tracking
Rasterio

Agentic AI

LangGraph, LangChain
Speech to Text, Text to Speech
Twilio Media Streams

Backend & Data

FastAPI, NestJS
PostgreSQL
Elasticsearch
Celery, Redpanda

Tools & DevOps

Docker, Docker Compose
Git
n8n, Selenium

Record

What it adds
up to.

Event-Driven Architecture

Designed multi tenant, event driven SaaS infrastructure using FastAPI, Celery, and Redpanda with strict Row Level Security data isolation.

Search and Matching

Built a bidirectional fuzzy matching engine on Elasticsearch with a designed upgrade path to kNN vector search.

Computer Vision Delivery

Shipped YOLO based detection pipelines and satellite raster processing systems from raw data to production visualizations.

Academic Excellence

Maintained a 3.60 / 4.0 CGPA with five consecutive Dean's List honors at FAST NUCES Lahore.

Education

FAST NUCES, Lahore

BS Computer Science · 2023–2027

CGPA 3.60 / 4.0

Fall 2023
Spring 2024
Fall 2024
Spring 2025
Fall 2025

Certification

Machine Learning Specialization

Stanford Online / DeepLearning.AI

Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning

Contact

Let's build something end to end.

ammarhusssain1@gmail.com

LinkedIn GitHub +92 310 4821400 Résumé

Or write here

Open to AI engineering roles and end-to-end product work.

Built with Next.js · Designed end to end

Muhammad Ammar Hussain

I build the whole system, not just the model.

Raw satellite raster to production heatmaps.

A voice agent that holds a real conversation.

Multi-tenant, event-driven, isolated by design.

Owned end to end.

Systems builtstart to finish.

Trademark Guard

AI Voice Agent Receptionist

Geoverdant

Brand Compliance Engine

Where the workships.

AI Software Engineer

More work

FLS Learning System

Precasto

BooksExchange

Waves

The tools, andwhat they're for.

What it addsup to.

Event-Driven Architecture

Search and Matching

Computer Vision Delivery

Academic Excellence

FAST NUCES, Lahore

Machine Learning Specialization

Let's build something end to end.

Systems built
start to finish.

Where the work
ships.

The tools, and
what they're for.

What it adds
up to.