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Hi, I'm Set Kaung Lwin, a Computer Science student with hands-on experience building backend systems and database-driven applications. I thrive in agile teams and love turning ideas into scalable software using Go, Python, and Java. My projects span REST APIs, cloud deployments on AWS and Heroku, and real-time features. I also have practical exposure to machine learning workflows with PyTorch and scikit-learn, including CNNs and object detection, and I'm eager to apply these skills to data-driven products while continuing to learn and grow as a developer.…Hi, I'm Set Kaung Lwin, a Computer Science student with hands-on experience building backend systems and database-driven applications. I thrive in agile teams and love turning ideas into scalable software using Go, Python, and Java. My projects span REST APIs, cloud deployments on AWS and Heroku, and real-time features. I also have practical exposure to machine learning workflows with PyTorch and scikit-learn, including CNNs and object detection, and I'm eager to apply these skills to data-driven products while continuing to learn and grow as a developer.

Set Kaung Lwin

Back-End Developer, Web Developer, Developer, +4

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Hi, I'm Set Kaung Lwin, a Computer Science student with hands-on experience building backend systems and database-driven applications. I thrive in agile teams and love turning ideas into scalable software using Go, Python, and Java. My projects span REST APIs, cloud deployments on AWS and Heroku, and real-time features. I also have practical exposure to machine learning workflows with PyTorch and scikit-learn, including CNNs and object detection, and I'm eager to apply these skills to data-driven products while continuing to learn and grow as a developer.…Hi, I'm Set Kaung Lwin, a Computer Science student with hands-on experience building backend systems and database-driven applications. I thrive in agile teams and love turning ideas into scalable software using Go, Python, and Java. My projects span REST APIs, cloud deployments on AWS and Heroku, and real-time features. I also have practical exposure to machine learning workflows with PyTorch and scikit-learn, including CNNs and object detection, and I'm eager to apply these skills to data-driven products while continuing to learn and grow as a developer.

Available to hire

Hi, I’m Set Kaung Lwin, a Computer Science student with hands-on experience building backend systems and database-driven applications. I thrive in agile teams and love turning ideas into scalable software using Go, Python, and Java. My projects span REST APIs, cloud deployments on AWS and Heroku, and real-time features.

I also have practical exposure to machine learning workflows with PyTorch and scikit-learn, including CNNs and object detection, and I’m eager to apply these skills to data-driven products while continuing to learn and grow as a developer.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Backend Developer at Ontime

September 1, 2025 - September 9, 2025

Developed a REST API backend with Go Standard Library; participated in designing and development of NextJS frontend; implemented a PostgreSQL database on NeonDB and integrated Pusher for real-time notifications; collaborated to deploy moderation dashboard to Vercel.

Desktop Application Developer at AU Sport

February 1, 2024 - September 9, 2025

Built a cross-platform desktop app for sports field reservations with Argon2 authentication; designed and implemented MySQL database schema.

ML Engineer at Dog or Muffin

February 1, 2025 - September 9, 2025

Developed a convolutional neural network (CNN) in PyTorch to classify images of dogs and muffins using the Kaggle dataset; designed and implemented a custom CNN architecture; achieved 97% accuracy on the test dataset through iterative training and hyperparameter tuning.

ML Engineer at Receipt Object Detection

February 1, 2025 - September 9, 2025

Collected and annotated a dataset of store receipts using LabelMe, focusing on key fields such as seller names, dates, items, and totals; developed a data preprocessing and augmentation pipeline to generate balanced train/validation/test splits; trained a YOLOv11 object detection model to identify structured fields on receipts; authored a detailed project report summarizing methodology and evaluation.

Backend Developer - Ontime Project at Ontime

September 1, 2025 - September 9, 2025

Developed a REST API backend with Go Standard Library and contributed to NextJS frontend; implemented PostgreSQL database on NeonDB and integrated Pusher for real-time notifications; collaborated to deploy moderation dashboard to Vercel.

Desktop Application Developer - AU Sport at AU Sport

February 1, 2024 - September 9, 2025

Built a cross-platform desktop app for sports field reservations with Argon2 authentication; designed and implemented MySQL database schema.

ML Engineer - Dog or Muffin at Dog or Muffin

February 1, 2025 - September 9, 2025

Developed a convolutional neural network (CNN) in PyTorch to classify images of dogs and muffins; designed a custom CNN architecture and achieved 97% accuracy on the test dataset.

ML/Data Science Engineer - Receipt Object Detection at Receipt Object Detection

February 1, 2025 - September 9, 2025

Collected and annotated a dataset of store receipts; built data preprocessing and augmentation pipeline; trained a YOLOv11 object detection model to identify structured fields; authored a detailed project report.

Backend Developer at Ontime

September 1, 2025 - September 9, 2025

Developed a REST API backend with Go Standard Library and participated in designing and developing a Next.js frontend. Created a PostgreSQL database on NeonDB and integrated Pusher for real-time notifications. Collaborated with team members to develop and deploy a moderation dashboard to Vercel.

Software Developer at AU Sport

February 1, 2024 - September 9, 2025

Built a cross-platform desktop app for sports field reservations with Argon2 authentication. Designed and implemented MySQL database schema.

Machine Learning Engineer at Dog or Muffin

February 1, 2025 - September 9, 2025

Developed a convolutional neural network (CNN) in PyTorch to classify images of dogs and muffins using the Kaggle dataset. Designed and implemented a custom CNN architecture optimized for image classification tasks. Achieved 97% accuracy on the test dataset through iterative training and hyperparameter tuning.

Machine Learning Engineer at Receipt Object Detection (Project)

February 1, 2025 - September 9, 2025

Collected and annotated a dataset of store receipts using LabelMe, focusing on key fields such as seller names, dates, items, and totals. Developed a data preprocessing and augmentation pipeline to generate balanced train/validation/test splits. Trained a YOLOv11 object detection model to identify structured fields on receipts, achieving high precision and recall. Authored a detailed project report summarizing methodology and evaluation.