R&D engineer developing and refining ML/CV solutions for plant inspection and retail analytics. Led end-to-end ML/CV design-to-deployment cycles, built and optimized real-time video analytics pipelines, and integrated models into production via microservices on AWS and edge devices using Docker, ONNX, OpenVINO, and NVIDIA TensorRT. Pioneered a diffusion-model-based pipeline for synthetic plant image generation and on-demand instance segmentation annotation, reducing manual data collection time by ~90% while maintaining high-quality outputs. Also contributed to camera calibration, multi-camera systems, transfer learning, fine-tuning, and resource-constrained inference.

Machine Learning & Computer Vision Engineer at Pheno-Inspect

February 1, 2022 - January 31, 2025

Led design, development, and deployment of ML/CV solutions for plant health and retail analytics. Built real-time video analytics pipelines and microservices for scalable inference on AWS and edge devices. Enabled multi-GPU training, transfer learning, fine-tuning, and deployment with Docker, ONNX, OpenVINO, and NVIDIA TensorRT. Key projects include a diffusion-based annotated agricultural dataset generator and delivering the FRAXperience-winning solution for Frankfurt Airport Terminal 3, as well as the Smart Visitor Analytics System that boosted client sales by 30% over six months.

Computer Vision Engineer at Hyundai MOBIS

February 1, 2025 - Present

Research and implement CV techniques such as monocular depth estimation, keypoint extraction and matching, and surface normal estimation. Performed ablation studies to optimize runtime without sacrificing accuracy. Built dashboards with Flask/Streamlit for KPI visualization and deployed ML models using MLflow and TorchServe.

Software Engineer at Rubik's Technologies

September 1, 2018 - August 31, 2019

Data mining, web scraping, and automation to support various projects. Built Android apps with Java and C# (Xamarin) and integrated ML models into them.

Event Organizer / Campus Ambassador at Visio Spark

October 1, 2016 - November 30, 2017

Organized on-spot programming competitions, hackathons, and code debugging events to promote STEM engagement.

Machine Learning / CV Engineer at Pheno-Inspect

February 1, 2022 - January 1, 2025

Development and refinement of a machine learning package for enhancing segmentation models for plant inspection, utilizing PyTorch Lightning. Collaborate with cross-functional teams to integrate vision models into production. Led design-to-deployment cycle for ML/CV solutions in retail analytics, surveillance, and real-time tracking; deployed optimized microservices for real-time video analytics on AWS and edge devices with Docker, ONNX, OpenVINO, and NVIDIA TensorRT; achieved latency under 100 ms.