Computer vision · Robotics · Edge ML

Arqam Imtiaz

Machine Learning Engineer

Arqam Imtiaz

I build perception systems for robots and sports AI from training data to models running on the device. My experience spans multi-camera perception, learning-based robot control, training-data pipelines, and model deployment.

01 / Experience

Experience

Dec 2025 – PresentShenzhen, China

Own the visual-perception lifecycle for real-time tennis AI systems.

  • Built temporal ball and person-attribute models, court keypoint detection, and dual-camera geometric fusion.
  • Developed auto-labeling and model export workflows for edge deployment and continued data iteration.
Company & project details
Oct 2024 – Dec 2025Shenzhen, China

Led applied perception R&D for tennis analytics and autonomous lawn-care robotics.

  • Integrated court geometry, ball and player tracking, pose, and ReID into an on-device tennis analytics stack.
  • Built auto-labeling, segmentation, and deployment pipelines for lawn-care robot perception.
Company & project details
Dec 2023 – Oct 2024Shenzhen, China

Developed deep-reinforcement-learning locomotion policies and simulation-to-robot transfer workflows.

  • Trained proprioception-only locomotion policies in Isaac Gym and transferred them to a custom quadruped.
  • Developed flat- and rough-terrain policies; published a physical-robot demonstration including 15 cm stairs.
Company & project details

Deep Learning Engineer

XPENG Robotics

May 2021 – Oct 2023Shenzhen, China

Built and optimized perception workflows across indoor 3D vision, robot interaction, and autonomous systems.

  • Developed depth, segmentation, human perception, and robot-interaction models.
  • Built a camera–LiDAR fusion pipeline that increased depth-label density from 6% to 58% using 60 scans.
Company & project details

Algorithm Engineer

ROPEOK Technology Group

Oct 2019 – Sep 2020Xiamen, China

Developed real-time person re-identification and attribute-recognition systems for multi-camera environments.

  • Developed person re-identification across six cameras and human-attribute recognition.
Company & project details

02 / Education

Education

Master of Engineering in Computer Technology

Xiamen University

2017 – 2019

Thesis: Deep discriminative feature learning with a multi-level network for person re-identification.

Bachelor of Science in Electrical Engineering

COMSATS University

2012 – 2016

Final project: vision-based shooting-target accuracy measurement for a training range.

03 / Expertise

Skills & tools

Tools

  • Python
  • C/C++
  • PyTorch
  • PyTorch Lightning
  • TensorFlow
  • TensorRT
  • MATLAB
  • Git
  • Docker
  • Linux
  • OpenCV
  • ONNX
  • MLflow

End-to-End ML Systems

  • Problem Framing & Solution Design
  • Data Strategy & Pipeline Design
  • Experimentation
  • Evaluation & Benchmarking
  • Model Deployment
  • Monitoring & Lifecycle Ownership

Computer Vision Systems

  • Real-Time Visual Perception
  • Multi-Modal Scene Understanding
  • Spatial & Temporal Vision Models
  • Multi-Camera Systems
  • Production CV Pipelines

Model Optimization

  • Model Quantization
  • Inference Performance Optimization
  • Edge Deployment

Data Operations

  • Auto-Labeling Pipelines
  • Active Learning Workflows
  • Synthetic/Augmented Data Strategies
  • Data Quality Auditing
  • Scalable Dataset Curation
  • Hard Example Mining

Engineering Leadership

  • Stakeholder Communication
  • Cross-Functional Execution
  • Code Review & Mentoring
  • Technical Ownership & Roadmapping
  • Debugging
  • Profiling & Production Support

04 / Languages

Languages

  • Urdu/HindiNative Speaker
  • EnglishHighly proficient
  • ChineseWorking knowledge