Malik Mohammad Ammar

Hi, I'm Malik Mohammad Ammar

Full Stack AI Engineer

I build at the intersection of LLMs, computer vision, and robotics.

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About

My work spans agentic AI applications, real-time vision systems, and robotic platforms. I've built AI-powered search engines using reasoning agents and retrieval-augmented generation, developed recommendation systems with machine learning and NLP, deployed object detection and tracking models on NVIDIA Jetson devices, and worked with ROS 2, PX4, and embedded hardware to bridge software and the physical world.

Beyond AI, I enjoy building complete products-from backend infrastructure and databases to modern web applications. Whether it's an AI search engine, a computer vision system, or a consumer-facing platform, I'm interested in turning complex ideas into practical tools that people can use.

I'm particularly interested in how systems can reason, perceive, and interact with the world-bringing together advances in language models, computer vision, and robotics to solve real problems.

Education

National University of Sciences and Technology (NUST)

2020 - 2024

Bachelor of Engineering — Electrical Engineering

Experience

Research Engineer

School of Interdisciplinary Engineering & Sciences (SINES)

May 2025 — Aug 2025

Developed and deployed computer vision algorithms on the NVIDIA Jetson platform for object detection and ID-based object tracking with Re-ID, enabling autonomous behaviour. Built a low-latency video pipeline via GStreamer and OpenCV.

Computer Vision
NVIDIA Jetson
GStreamer
OpenCV
TensorRT
PyTorch

Intern

Public Sector Research Lab

Jul 2023 — Sep 2023

Built a hybrid skin-care recommendation system combining user-feature filtering and content-based similarity using TF-IDF and cosine similarity. Achieved 98.38% classification accuracy with Precision@10 = 1.00 and NDCG@10 = 1.00.

Python
Scikit-Learn
NLP
TF-IDF
Tkinter

Skills

Programming Languages

Python
C/C++
JavaScript
TypeScript
Verilog

Machine Learning / AI

PyTorch
TensorFlow
Scikit-learn
NumPy
Pandas
OpenCV
Hugging Face
LangChain

Web Development

React
Next.js
Node.js
Tailwind CSS
shadcn/ui

Mobile Development

React Native
Expo

Backend & Cloud Platforms

Supabase
Render
Streamlit

Robotics & Simulation

ROS 2
PX4
AirSim

Edge AI / Deployment

NVIDIA Jetson
TensorRT
DeepStream

Developer Tools

Git
GitHub
Docker

Projects

Check out my latest work

OmniFinder AI

Agentic AI search engine with ReAct reasoning and multi-source RAG. Routes queries across Wikipedia, ArXiv & the web using intelligent classification — all through a Streamlit interface.

Python
LangChain
Streamlit
LLM
RAG
ArXiv
DuckDuckGo

Salert

Pakistan's deal discovery platform aggregating sales, promotions, and discounts on clothing, food, and consumer items. Features geo-targeted deals, brand following, and voting system.

Next.js
React
TypeScript
Tailwind CSS
Supabase
Vercel

Autonomous Quadrotor Object Tracking System

Deployed object detection and Re-ID tracking on NVIDIA Jetson using TensorRT, ONNX, and GStreamer/OpenCV. Validated autonomous quadrotor control via SITL and HITL simulations.

Python
OpenCV
PyTorch
YOLO
ROS
PID Control
TensorRT

Smart Cane for Visually Impaired

Developed on Raspberry Pi 5 using Python and OpenCV for real-time object detection. Integrated ultrasonic sensors for obstacle detection and audio alerts for safe navigation.

Python
OpenCV
PyTorch
YOLO
Raspberry Pi
Ultrasonic Sensors

Product Recommendation System

Built a hybrid recommendation system using NLP-based user profiling and content-based similarity with TF-IDF and cosine similarity.

Python
NLP
Scikit-Learn
Cosine Similarity
Tkinter

Heart Disease Severity Classification

Performed EDA using box plots, pair plots, and correlation matrices. Identified Triglycerides Level as key predictive feature via PCA, achieving 94.4% accuracy with an SVM model.

Python
SVM
MLP
Random Forest
Scikit-Learn
PCA

Get in Touch

Want to chat? Shoot me a message and I'll respond whenever I can.

malikmammar17@gmail.com