Work Experience:
Research Engineer at Korea University of Technology and Education (CVVP Lab): Feb 2023 - Present
AI Project Manager at Bleed AI (US Company): Feb 2022 - March 2023
Machine Learning Engineer (Computer Vision) at Liquid Technologies: Aug 2021 - Jan 2022
Embedded Systems Engineer at Sudoware (US Company): Jan 2020 - Aug 2021

Prominent Projects:

PrecisionGAN (KOREATECH):
A custom-made paired image-to-image translation GAN network for Skeletonization of printed characters. This project is a subsidiary of a long-term project funded by one of the National Museums in Korea, and the goal is to analyze the methodology of printing technologies available during the Joseon Dynasty in Korea.

Yoga Pose and Exercise Monitoring (Bleed AI):
- An application created to help people carry on their workout routines at their homes.
- The application uses the front/web camera of the host machine to process the real-time videos of the users.
- The requested camera angles for each exercise are informed before the initiation and then the users are provided with the real-time feedback with rep counting.

Arthritis Therapy using Computer Vision (Bleed AI):
This application is a research project that focuses on providing a placebo effect to patients with a rare type of arthritis on their
hands, by using computer vision to extend and expand their fingers, and vice-versa.

Vidan (Liquid Technologies):
Vidan is a video analytics platform that hosts multiple KPIs, customizable as per the needs of the customer.
Things that I worked on include:
- Designing the complete architecture of Vidan PaaS.
- Automatic License Plate Recognition KPI.
- Train Management System KPI.

Hydroponics Farming Facilities (Sudoware):
- Developed an embedded system of a customized single-board computer, consisting of OpenWRT and ATmega.
- Created a network mesh using NodeMCUs and customized SBCs by implementing HTTP, MQTT, and BLE protocols.
- Established Wireless Sensors Network using Raspberry PI and NodeMCUs with the help of WiFi and REST APIs, along with remote Streaming with a camera attached to a Raspberry PI using reverse SSH and port-mapping on GCP.