Curriculum vitae
Senior AI Engineer
Computer Vision & Edge AI
Senior AI Engineer delivering computer vision and computational photography for mobile camera systems. Experience spans model development, quantization, C++/Android integration, visual-quality evaluation and cross-team release delivery. Independent projects explore agent orchestration and local image-analysis workflows.
Professional Experience
Senior AI Engineer | Black Sesame Technologies (Singapore)
Jan 2025 - Present
- Own camera AI delivery from product requirements and field feedback through prototypes, hard-case evaluation and release handoff with product, camera tuning, runtime and QA teams.
- Lead portrait-imaging development across matting, monocular depth and GPU rendering, investigating subject boundaries, visual artifacts and device behavior.
- Develop real-time composition workflows combining object detection, optical-flow tracking, camera guidance and application state.
- Drive PyTorch-to-device integration through quantization, TFLite/ONNX export validation, native C++/Android pipelines and on-device debugging.
AI Engineer | Black Sesame Technologies (Singapore)
Aug 2022 - Jan 2025
- Productized portrait segmentation, matting and monocular depth models for mobile camera pipelines.
- Built training-to-deployment workflows with quantization, export checks and regression comparisons to validate model replacements.
- Integrated models into C++/Android runtimes and developed depth-aware bokeh with visual debugging, golden cases and batch release-review tooling.
Research Intern | National University of Singapore
Dec 2021 - Jul 2022
- Conducted computer-vision research for construction-site safety, including dataset preparation, image-classification experiments, and spatial risk analysis.
- Co-authored a peer-reviewed Automation in Construction paper on supervised and self-supervised feature representation learning.
Research Assistant | Shandong University
Sep 2019 - Jun 2021
Applied computer vision and machine learning to interdisciplinary psychology research, supporting dataset development, experiments, visualization, and reporting.
Independent Projects
Reliable Agent Workflow
Scripted-provider Python reference for retries, fallback, output validation and human-review gates, with trace-based regression tests.
Code and tests
Photography Mentor
Browser-local image diagnostics, source-linked retrieval and practice tracking using deterministic analysis and coaching rules.
Open the system
Technical Stack
- AI and vision: PyTorch, TensorFlow, OpenCV, segmentation, matting, monocular depth, detection, optical flow, local retrieval.
- Runtime and deployment: Python, C++, Android/NDK, TFLite, ONNX, ONNX Runtime, TensorRT, OpenGL/GLSL, Docker, FastAPI/Flask.
- System quality: quantization, export validation, validated output contracts, retry and fallback references, hard-case suites, traces, release gates.
Education & Publication
Master of Technology, Intelligent Systems | NUS-ISS
2021 - 2022
Bachelor of Engineering, Software Engineering | Shandong University
2017 - 2021 | Outstanding Graduate
Peer-reviewed publication
Co-author, "Automated classification of 'cluttered' construction housekeeping images through supervised and self-supervised feature representation learning," Automation in Construction, 2023. DOI