CV
Clarence Cheong’s CV
- Email: clarence_han@hotmail.com
- Location: Kuala Lumpur, Malaysia
- Website: brighttux.github.io
- LinkedIn: clarence-cheong
Professional Summary
Versatile and systems-driven Solutions Engineer and AI Architect with over a decade of multi-disciplinary experience spanning Computer Vision (CV), Enterprise Software, Cloud Infrastructure, and Legacy Mainframe integration. Proven track record of bridging the gap between deep tech research and production-grade, distributed deployments. Expert in designing end-to-end AI pipelines—ranging from custom LLM RAG frameworks on GCP to large-scale video analytics engines for Smart Cities—while orchestrating containerized environments and edge-AI runtimes.
Experience
Almex System Technology Asia (Almex STA)
Remote, MY.
May 2019 – present
Senior AI Solutions Engineer
Python, Docker, Bash, OpenCV, FastAPI, OpenVINO, GCP, Ansible, TensorFlow, Flask, MongoDB, PyQt, Linux.
Worked remotely with a team in Tokyo, Japan.
Architected & Deployed Enterprise RAG Infrastructure: Co-designed and built an end-to-end Retrieval-Augmented Generation (RAG) Chatbot ecosystem hosted on GCP. Developed secure, scalable API endpoints for dynamic Knowledge Base updates and engineered an automated evaluation framework to audit pipeline relevance, faithfulness, and mitigation of hallucinations.
Designed CV Pipelines from POC to Production: Formulated technical proposals, researched architectures, and developed Proof of Concepts (POCs) for mission-critical CV products, including an Invoice OCR document classification engine and a Person Re-Identification system demonstrated at international trade fairs.
Optimized Edge AI Deployment & System Integration: Co-authored high-performance API integrations for FLIR AX8 Thermal Cameras featuring real-time face detection and blackbody-calibrated thermal corrections. Optimized deep learning models utilizing Intel’s OpenVINO toolkit for deployment at the edge.
Automated Cross-Workstation Orchestration: Overhauled an internal image-labeling application by implementing a MongoDB data layer and integrating automated text-detection algorithms. Streamlined installation friction across multiple distributed workstations via Ansible configuration management.
Engineered Complex ML Data Synthesis Systems: Built custom ML data tools, including a synthetic Japanese character OCR training system utilizing font glyph checking and canvas-overflow validation, an enhanced SynthText background-generation engine manipulating depth and segmentation maps, and an FCOS-styled tfrecord translation pipeline.
Multimedia University
Cyberjaya, MY
Oct 2016 – Apr 2019
Computer Vision Research Scholar
C++, OpenCV, Python, JavaScript, Linux.
Engineered Video Analytics Frameworks: Directed semantic extraction and data preprocessing workflows for project SHERLOCK, a large-scale, multi-camera video analytics initiative optimized for smart city long-term surveillance.
IP Creation & Research Leadership: Successfully obtained intellectual property copyright for the developed core vehicle semantic retrieval engine. Published 3 peer-reviewed IEEE/Springer international conference papers and presented findings to industry stakeholders.
Freelance & International Research Consultant
Malaysia & Taiwan
June 2018 – Feb 2019
Freelance & Intern
AWS (EC2/S3), Docker, Raspberry Pi, Keras, TensorFlow, OpenCV, Python.
Retail Store Analytics Solution (Freelance): Designed and deployed an edge-to-cloud customer analytics pipeline using Raspberry Pi nodes and custom deep learning models. Streamlined gender and behavioral inference processing on the edge before structured JSON data payloads were shipped to AWS cloud buckets for client business-intelligence consumption.
Vehicle Trajectory Analytics (Research Intern
- National Chung Cheng University, TW): Researched and prototyped deep CNN architectures to handle automated vehicle trajectory classification under the supervision of Professor Wen-Nung Lie.
Hewlett Packard Enterprise (HPE)
Cyberjaya, MY
Sept 2012 – Sept 2016
Application Management & Service Delivery Engineer
Mainframe z/OS, COBOL, JCL, CA-7, Bash, SQL, Visual Basic.
High-Availability Production Systems Support: Provided Tier-2 24/7 technical incident and crisis management for CIMB Bank’s core payment channels (including IBG, Autopay, Remittance, and Direct Debit), ensuring zero-downtime operations for critical financial traffic.
Cross-Platform Systems Engineering: Interfaced directly with client stakeholders and IT operations teams to implement data extraction applications for the enterprise-wide “CIMB 1 Platform” banking migration project.
Multimedia University
Cyberjaya, MY
Aug 2010 – Jan 2012
Research Assistant & Web Systems Developer
PHP, SQL, HTML/CSS, WAMP Server.
- Designed, implemented, and managed a centralized Content Management System (CMS) utilized by university staff to audit and track R&D progress. Successfully launched the software into active production, sustaining a 5-year operational lifecycle until retirement.
Core Competencies
Architectures: End-to-End AI/ML Pipelines, RAG Frameworks, Distributed Systems, Microservices, Edge AI
Computer Vision & Deep Learning: Object Detection/Tracking, Person Re-Identification, OCR (Synthetic Data Gen), OpenVINO, TensorFlow, Keras
DevOps & Cloud Infrastructure: Docker, Ansible, GCP, AWS, CI/CD, Shell Scripting, Linux System Admin
Enterprise Integration: Enterprise APIs, Relational & NoSQL Databases (SQL, MongoDB), Mainframe (COBOL, JCL, z/OS), ITIL Incident & Crisis Management
Full-Stack & Automation: Python, FastAPI, C++, Flask, JavaScript, PHP, Visual Basic, Automations, PyQt GUI Development
Education
Multimedia University, Information Technology
MSc
Cyberjaya, MY
Oct 2016 – May 2019
Thesis: Extraction and Retrieval of Object Semantics for Long-Term Car Park Surveillance Videos
Published 3 papers, and won multiple awards.
Multimedia University, Electronics Majoring in Multimedia
BEng
Cyberjaya, MY
June 2008 – June 2012
- Thesis: Multiple Speaker Voice Recognition
Tengku Abdul Rahman College (TARC), Mechatronics
Dip
Kuala Lumpur, MY
June 2006 – May 2008
Publications
Efficient Semantic-Based Vehicle Retrieval In Long-Term Car Park Videos
July 2019
Clarence Cheong, Ryan Woei-Sheng Lim, John See, Lai-Kuan Wong, Ian K.T. Tan
10.1109/ICMEW.2019.00-97 (ICMEW 2019)
Vehicle Semantics Extraction and Retrieval for Long-term Carpark Video Surveillance
Feb 2018
Clarence Cheong, Ryan Woei-Sheng Lim, John See, Lai-Kuan Wong, Ian K.T. Tan, Azrin Aris
10.1007/978-3-319-73600-6_27 (MMM 2018)
On vehicle state tracking for long-term carpark video surveillance
Sept 2017
Ryan Woei-Sheng Lim, Clarence Cheong, John See, Ian K.T. Tan, Lai-Kuan Wong, Huai-Qian Khor
10.1109/ICSIPA.2017.8120638 (ICSIPA 2017)
Selected Honors
International Invention, Innovation & Technology Exhibition (ITEX) 2018: [ICT & Multimedia - University & Research Institute Category] (Silver Medalist)
Malaysia Technology Expo (MTE) 2018: [Invention & Innovation Category] (Bronze Medalist)
A.I. Hackathon for Good (2nd Runner Up)
Copyright
- Core Retrieval Engine for Smart City Analytics