Résumé
Arqam Imtiaz
Machine Learning Engineer
Computer Vision · Robotics · Edge AI
From dataset strategy and auto-labeling to model optimization and edge deployment, I turn computer-vision research into dependable product systems.
Core AI Stack
Production vision
Real-time detection, tracking, temporal models, keypoints, segmentation, and multi-camera geometry.
- Detection & tracking
- Temporal vision
- Multi-camera systems
Data flywheels
Auto-labeling, active learning, hard-example mining, synthetic data, and quality auditing.
- Auto-labeling
- Dataset curation
- Quality loops
Model to edge
Training, benchmarking, ONNX and TensorRT export, quantization, profiling, monitoring, and iteration.
- PyTorch
- ONNX / TensorRT
- Performance profiling
Robotics & 3D
Depth, pose, point clouds, camera calibration, simulation-to-real transfer, and spatial perception.
- 3D perception
- Robot learning
- Sensor geometry
Tools & platforms
Production tooling used across training, optimization, deployment, and monitoring.
- Python
- C/C++
- PyTorch
- OpenCV
- TensorRT
- ONNX
- Docker
- Linux
- MLflow
Experience
Algorithm Engineer
Enhanced Robotics (Tenniix Official)Own the visual-perception lifecycle for real-time tennis AI systems.
- Auto-labeling and dataset iteration
- Detection, tracking, and court geometry
- Edge deployment and monitoring
Algorithm Engineer
Benign Innovations (Co-founding Startup)
Led applied perception R&D for tennis analytics and autonomous lawn-care robotics.
- Multi-modal tennis analytics
- Robot perception and docking
- Practical edge-model deployment
Algorithm Engineer
LinxAI Intelligent Technology Co., Ltd.Developed deep-reinforcement-learning locomotion policies and simulation-to-robot transfer workflows.
- Quadruped locomotion
- Isaac Gym simulation
- Robust terrain control
Deep Learning Engineer
XPENG RoboticsBuilt and optimized perception workflows across indoor 3D vision, robot interaction, and autonomous systems.
- 3D and stereo perception
- Human-centric perception
- Model development and optimization
Research Assistant
Southern University of Science and TechnologyResearched 3D scene parsing across semantic mesh segmentation and point-cloud object detection.
- 3D geometric analysis
- Mesh data preparation
- LiDAR scene understanding
Algorithm Engineer
ROPEOK Technology GroupDeveloped real-time person re-identification and attribute-recognition systems for multi-camera environments.
- Person re-identification
- Human attributes
- Multi-camera deployment
Design Engineer
Pakistan Aeronautical ComplexContributed to smart-display graphics and EEG feature-extraction initiatives.
- OpenGL display software
- Signal feature extraction
- Applied engineering R&D
Education
Master of Engineering · Computer Technology
Xiamen UniversityThesis: Deep discriminative feature learning with a multi-level network for person re-identification.
Bachelor of Science · Electrical Engineering
COMSATS UniversityFinal project: vision-based shooting-target accuracy measurement for a training range.
Languages
- Urdu/HindiNative speaker
- EnglishHighly proficient
- ChineseWorking knowledge