I am a Senior Machine Learning Engineer & Computer Vision Specialist based in South Korea, with over 6 years of professional experience spanning South Korea, India, and Myanmar. My work is focused on building end-to-end production AI systems, real-time sensor fusion, edge AI deployment, and scalable data pipelines.
I bridge the gap between academic research and industrial-grade software engineering, having developed and deployed robust AI solutions for real-time tracking, object detection, anomaly detection, and business analytics.
- 🔭 Current Focus: High-precision indoor positioning systems, real-time multi-sensor fusion (IMU + Piezoelectric), and 1D-CNN optimization for activity recognition.
- 🎓 Education: Master of Computer Science (Mysore University, India - GPA: 9/10) | B.Sc. in Computer Science (UCSY, Myanmar)
- 🌍 Location: Seoul, South Korea (Visa Status: E-7-1)
- 📈 6+ Years of cross-border experience in AI engineering, data analytics, and software development.
- ⚡ 15% Performance Boost achieved on object detection pipeline throughput via custom YOLO optimization.
- 🔍 98% Accuracy achieved in production face detection model deployment.
- 🏫 2 Leading Korean Research Labs (Chung-Ang University & SNUST) where I led AI-driven innovation.
YOLOv7/v8 | Faster R-CNN | 1D-CNN | Sensor Fusion | Anomaly Detection
March 2026 - Present
- Sensor Fusion & Positioning: Designed and built an end-to-end real-time tracking system combining IMU and piezoelectric sensor fusion for indoor positioning.
- Real-time Pipelines: Architected ingestion and feature engineering pipelines storing high-frequency sensor data in TimescaleDB.
- 1D-CNN Deep Learning: Deployed a 1D-CNN model to perform real-time human activity recognition.
May 2024 - January 2025
- YOLO Object Detection: Implemented and deployed object detection algorithms, improving pipeline performance by 15%.
- Quality Control: Created specialized frame zone and object classification algorithms to identify product defects.
October 2023 - April 2024
- Smart Construction: Contributed to a NIPA & NIA-funded smart construction vision system, automating PPE, ladder, and scaffolding detection.
January 2021 - December 2022
- Cloud Data Lakes: Engineered ETL pipelines using Python and AWS Glue, moving complex database schemas (Oracle, MS SQL, SAP HANA) to AWS lakes.
May 2020 - November 2020
- Social Data Mining: Extracted social media data using Python and CrowdTangle tools to interpret, clean, and analyze trends.
- BI Dashboards: Originated and monitored hate speech tracking dashboards using Google Data Studio.
Sep 2019 - Mar 2020
- Developed an employee attendance system used in a computer vision system with OpenCV.
- Applied face detection model, based on HoG Face Detector in Dlib
September 2018 - August 2019
- Enterprise Customization: Designed and tested custom Odoo (OpenERP) addons, products, and interfaces using Python.
- Backend Integration: Integrated enterprise applications with backend relational database systems.
- 📬 Email: thanthanswe0310@gmail.com
- 💼 LinkedIn: linkedin.com/in/than-than-swe-0a52a216a
- 🌐 GitHub Repositories: github.com/thanthanswe0310
“Leveraging data engineering & computer vision to solve real-world industrial challenges.”