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
2025Agentic 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
2024Deal 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
2024Real-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
2024Assistive 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 2023Hybrid 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
2023Classified 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 - 2024Bachelor 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 2025Python Essentials 1 · Cisco
Sep 2024Machine Learning for Data Science Projects · IBM
Aug 2024AI Skills Challenge · Microsoft Learn
Aug 2023