AI Engineer · jingh
Machine learning. Computer vision. AI agents.
Specializing in machine learning, deep learning, and AI system architecture. 6+ years building production systems at the intersection of research and engineering.
Expertise
End-to-end model development from research to production. Computer vision, time-series forecasting, and multimodal systems.
Designing and deploying multi-agent systems. Proficient with Google ADK and LangChain/LangGraph for orchestration, tool use, and retrieval-augmented generation.
Work
Currently building
A boutique-style AI agent platform. Pre-built agents accessible via web interface, or integrated directly into Telegram and Feishu bots — enabling cross-platform AI workflows without infrastructure overhead.
Visit platform →Surgical Video Analytics Platform
Built a web platform that analyzes surgical videos using multiple AI modules in parallel, and integrates with OpenAI for automated report generation.
View project →On-device Instrument Detection
Developed an object detection model for surgical instruments and deployed it to a mobile application using Unity and Xcode.
View project →Ultralytics YOLOs GUI
Built an open source GUI for object detection, segmentation, and tracking using Ultralytics YOLOs on video, image, and live stream sources. All configurable through a clean operator UI without requiring any coding knowledge.
View project →Battery State Prediction
Trained a time-series model to predict battery state of charge and health by analyzing volume changes in cells, quantized and deployed it to an STM32 microcontroller.
View project →Remote Tower System for ATC
Developed a remote tower solution for air traffic control using AI and computer vision technologies. The system provides air traffic controllers with a real-time panoramic video feed of the airport environment, complemented by automated object detection and tracking. This enhances safety and efficiency of air traffic.
View project →Sales Forecasting Web App
Developed a web application for retail sales forecasting using AI to optimize supply chain management. Researched forecasting algorithms and implemented backend for model training, evaluation, and inference.
View project →