Muhammad Hammad Yousaf

Muhammad Hammad Yousaf

Computer Science Student & AI Researcher specializing in Computer Vision and Edge Deployment

Based in: Lahore, PakistanMost recently: Summer intern, Computer Vision Lab (LUMS)

Hire me

A Computer Science student at LUMS with extensive experience in developing AI-powered applications, including RAG systems and compressed LLMs for edge devices. He has a proven track record in computer vision research, specifically in image deblurring and wildlife monitoring systems.

Experience

Summer intern

Computer Vision Lab (LUMS)Lahore, PakistaninternshipJun 2025 – Aug 2025

Summary

Developed a U-Net–based rain-aware preprocessing pipeline integrated with MegaDetector, using tunable confidence thresholds to improve animal detection performance under rainy conditions achieving almost 100 % false positives avoidance. Fine-tuned MegaDetector on the COD10K dataset to improve detection by ~5% in camouflaged animal images. Optimized the pipeline for deployment on remote edge devices for wildlife monitoring and alert systems by compressing the model to 16.58 Mbs

Results

  • Achieved almost 100% false positives avoidance in rainy conditions.
  • Improved detection by ~5% in camouflaged animal images.
  • Compressed model to 16.58 Mbs for edge deployment.
U-NetMegaDetectorCOD10K datasetEdge DevicesComputer Vision

Summer intern

Mindstorm StudiosinternshipJun 2024 – Aug 2024

Summary

Collaborated with a multidisciplinary team to develop a hyper-casual game ArroAce using Unity and C#. Submitted the game for the annual Summer Game Jam Competition where it received positive feedback

Results

  • Received positive feedback at the annual Summer Game Jam Competition.
UnityC#

Skills

Technical

PythonPython
LangChain
RAG
MERN
GitGit
PyTorchPyTorch
C++C++
llama.cppllama.cpp
Unity
CC
C#C#
SQLSQL
Selenium
DockerDocker
MongoDBMongoDB
RoboFlow
TensorFlowTensorFlow
.NET
TVM
AWS
ROS
FigmaFigma

Projects

AI-Powered Note Taking App

Full Stack Web Developeracademic
Developed a full-stack note-taking application using React, Flask, MongoDB, and REST APIs, integrating AI-assisted features through LLM APIs. Deployed the application on Vercel, achieving sub-2-second query times and implemented automated UI testing using Selenium.
ReactFlaskMongoDBREST APIsLLM APIsVercelSelenium

LUMS Academic Knowledge Assistant

Retrieval-Augmented Generation Developeracademic
Designed and implemented an end-to-end RAG system with data ingestion and retrieval pipelines using LangChain, ChromaDB, and BGE embeddings to process university documents. Integrated LLaMA 3.3 70B model for response generation with multi-turn dialogue, achieving sub-4-second query latency, containerized with Docker and deployed with a Streamlit frontend The web application makes the process of understanding university documents much easier by simply talking to a chatbot.
LangChainChromaDBBGE embeddingsLLaMA 3.3 70BDockerStreamlit

Kernel Based Image Deblurring

Senior Project Leadacademic
Researched and implemented kernel-based image deraining techniques to improve object detection under adverse weather conditions. Modeled rain streaks as convolution kernels and tackled deraining as a convolution/deconvolution problem, using a multi-module pipeline and a mix of AI and computer vision strategies for increased efficiency
AIComputer VisionConvolution Kernels

Llama 3.1_8b Compression

AI on Edge Devices Developeracademic
Applied multiple pruning, quantization and outlier suppression techniques to the Llama 3.1 8B model. Utilized llama.cpp library and successfully compressed the model down to ~8% with minimal quality loss and deployed the inference-ready compressed model on Raspberry Pi 5
Llama 3.1 8Bllama.cppRaspberry Pi 5PruningQuantization

Autonomous Road Navigation

Robotics Developeracademic
Utilized the established PIDNet for road segmentation and used segmentation maps as input into a proportional controller that outputted control commands based on scene information. Achieved high inference rates while processing 30 FPS input streams. Simulating real world scenarios
PIDNetProportional ControllerAI for Robotics

Education

Bachelor of Science

Lahore University of Management SciencesComputer ScienceSep 2022 – Jun 2026

Coursework

Software EngineeringDatabase SystemsData ScienceMachine LearningDeep LearningAI on edge devicesAI for RoboticsComputer Vision

Recognition

Certifications

AWS Cloud Practitioner Essentials

Amazon Web Services (AWS)2026

Social impact & activities

Manager

Wildlife Instagram PageorganizerPresent

Manage a wildlife-focused Instagram page documenting and discussing local wildlife and conservation.

Stage Productions

Ajoka Theatreother

Performed in stage productions with Ajoka Theatre and acted in independent student films.

Hire MuhammadReach out about a role, a contract or a conversation.For recruiters

Muhammad's twin is AI, it can make mistakes.

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