Malik Mohammad Ammar

Full Stack AI Engineer

Open to remote AI engineering roles.

Experience

Research Engineer · School of Interdisciplinary Engineering & Sciences (SINES)

May 2025 - Aug 2025
  • Deployed object detection and ID-based Re-ID tracking on NVIDIA Jetson, with a low-latency GStreamer and OpenCV pipeline for real-time inference.
  • Fine-tuned YOLO11n on a custom aerial and ground dataset, reaching 51% mAP for people and 66% for cars, then converted it to TensorRT for Jetson deployment.
  • Designed SITL and HITL simulations with AirSim, PX4, and ROS 2 to validate autonomous quadrotor navigation before flight testing.

Intern · Public Sector Research Lab

Jul 2023 - Sep 2023
  • Built a hybrid skin-care recommender on the Sephora dataset, combining user-feature filtering with TF-IDF and cosine similarity.
  • Evaluated Naive Bayes, logistic regression, and SGD classifiers, reaching 98.38% accuracy with Precision@10 and NDCG@10 both at 1.00.

Projects

OmniFinder AI

2025

Agentic search engine that reasons with ReAct and answers from multi-source RAG. Routes queries across Wikipedia, ArXiv, and the web, with a Streamlit interface on top.

Python, LangChain, Streamlit, LLM, RAG, ArXiv, DuckDuckGo

Salert

2024

Deal discovery platform for Pakistan that aggregates sales and discounts across clothing, food, and consumer goods, with geo-targeted deals, brand following, and voting.

Next.js, React, TypeScript, Tailwind CSS, Supabase, Vercel

Autonomous Quadrotor Object Tracking System

2024

Real-time object detection and Re-ID tracking on NVIDIA Jetson with TensorRT and ONNX. Validated the autonomous control loop through SITL and HITL simulation.

Python, OpenCV, PyTorch, YOLO, ROS, PID Control, TensorRT

Smart Cane for Visually Impaired

2024

Assistive cane that detects obstacles in real time on Raspberry Pi 5, combining YOLO object detection with ultrasonic sensors and audio alerts for safer navigation.

Python, OpenCV, PyTorch, YOLO, Raspberry Pi, Ultrasonic Sensors

Product Recommendation System

Jul 2023 - Sep 2023

Hybrid recommender ranking products by TF-IDF and cosine similarity. 98.38% accuracy, with Precision@10 and NDCG@10 at 1.00.

Python, NLP, Scikit-Learn, Cosine Similarity, Tkinter

Heart Disease Severity Classification

2023

Classified heart disease severity with 94.4% accuracy using an SVM. EDA and PCA flagged triglyceride level as the strongest predictor.

Python, SVM, MLP, Random Forest, Scikit-Learn, PCA

Skills

Programming Languages

Python, C/C++, JavaScript, TypeScript, Verilog

Machine Learning / AI

PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, SciPy, 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

Education

National University of Sciences and Technology (NUST)

2020 - 2024

Bachelor of Engineering, Electrical Engineering

Coursework: Computer Vision, Machine Learning, Probability and Statistics, Object Oriented Programming

Certifications

Oracle Cloud Infrastructure 2025 AI Foundations Associate · Oracle

Oct 2025

Python Essentials 1 · Cisco

Sep 2024

Machine Learning for Data Science Projects · IBM

Aug 2024

AI Skills Challenge · Microsoft Learn

Aug 2023