A passionate researcher and developer with expertise in Software Engineering, AI/ML, deep learning, and Ops. My work focuses on designing and deploying scalable machine learning systems that integrate advanced modeling techniques with robust operational workflows. With a strong foundation in predictive analytics, I have developed systems that address complex challenges in time-series forecasting and other domains. I am dedicated to bridging the gap between research and real-world applications, ensuring that solutions are both accurate and impactful.

📌 Fav Quote: "Make things happen. Adventurous and realistic. Happy-Go-Lucky. Stubborn optimist!♊"

Talking about Personal Stuffs:

📧 Email: khinpyaephyosan@gmail.com
💼 Current Role: Senior Full Stack Developer
🌱 Passionate about: Reading, Philosophy

• Front-end: HTML5, CSS3, TypeScript, jQuery, Bootstrap, Django, ShadCN
• Back-end: Python, Flask, Node.js, Express, TypeORM, SQLAlchemy
• Web Services: REST, GraphQL, Web API
• Testing & Documentation: Postman, Swagger
• Databases: MySQL, MariaDB, MongoDB, MSSQL, CockroachDB, MindsDB
• DataOps: Apache NiFi, Mage.ai, Python
• MLOps: Neptune.ai, Prefect.io, MLflow, Kubeflow
• ETL Frameworks: Apache Airflow, Pandas, PySpark, Apache Hadoop
• Machine Learning: PyTorch, TensorFlow, Scikit-learn, Keras
• DevOps & Cloud: Docker, Kubernetes, AWS, GCP, CI/CD, Serverless Architecture

• 🎓 Doctor of Philosophy (.) - Saitama University
• 🎓 Master of Computer Science (2024) - University of Information Technology
• 🎓 Bachelor of Computer Science (2017) - University of Information Technology

• DLOps: Developing Deep Learning Aided Burmese Rice Price Forecasting (11/2024)
• Cloud Cost Prediction with LSTM on Parametric Data (02/2025)

⭐️ From lillianphyoe