Muhammad Ammar Hussain

AI Software Engineer

Lahore, Pakistan · ammarhusssain1@gmail.com · +92 310 4821400

https://ammarhussain.dev · https://github.com/ammarhusssain · https://linkedin.com/in/muhammad-ammar-hussain

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Summary

AI Software Engineer who builds the whole system, not just the model, from computer vision and ML pipelines down to the production backend. 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.

Experience

AI Software Engineer, Magic Makers Lab

Jun 2025 – Present

Lahore, Pakistan · Joined as Engineering Intern

Own AI systems end to end, from the data pipeline and model layer through the production backend that serves them.

  • 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.

Skills

Programming and Core
Python, TypeScript / JavaScript, SQL
Frontend and Interface
Next.js, React, TailwindCSS
Computer Vision and Machine Learning
PyTorch, Scikit-learn, OpenCV, PIL, YOLO, Object Tracking, Rasterio
Agentic AI and Conversational Systems
LangGraph, LangChain, Speech to Text, Text to Speech, Twilio Media Streams
Backend and Data Pipelines
FastAPI, NestJS, PostgreSQL, Elasticsearch, Celery, Redpanda
Tools and DevOps
Docker, Docker Compose, Git, n8n, Selenium

Selected achievements

  • 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

BS Computer Science

2023 – 2027

National University of Computer and Emerging Sciences (FAST NUCES, Lahore)

CGPA 3.60 / 4.0 · Dean's List ×5

Certifications

Machine Learning Specialization

Stanford Online / DeepLearning.AI

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