Applying ML to understand and model dynamic physical systems
Reach Out
+60 1127625816
Penang, Malaysia
Heres My CV!
Gmail | LinkedIn | GitHub
📝 Research Skills
🐍 PyTorch
🧹 Data preprocessing
📡 Digital Signal Processing
🧠 Deep Learning
📶 Radar signal simulation
🔊 Doppler pattern classification
🫁 Biomedical image analysis
🛠️ Tools: VS Code, LaTeX
💻 Development Skills
🌐 Full-Stack (MERN, .NET)
🗃️ Database: MongoDB, MySQL, EF
☁️ Cloud & DevOps: Docker, Git, GitHub Actions, GCP, Oracle Cloud
🧪 Testing: Cypress, Postman, Mocha
Blog
🔗 Modelling Underwater Acoustic Channel using VAEs
🔗 MLR-Dx: Machine Learning based Radar Target Detection
About Me
I design machine learning systems for signal-rich, sensor-driven domains including underwater acoustic channels, radar Doppler patterns, and medical imaging. My work focuses on generative modeling, structure-aware learning, and building practical tools from real-world data.
Project
Work Experience
Software Developer
Intel (GoSaaS)
Feb. 2023 - Till Now
- Worked with Intel Corporation to create multiple modules of in house products developed for internal PLM using Agile methodology.
- Wrote .NET APIs using Entity Framework integrated with MySQL and LINQ to migrate existing architecture to newer technologies
- Containerized APIs and deployed to Google Cloud Registry to handle multiple user requests
- Configured Oracle Cloud PLM to handle requests for reclassified items to allow smooth transition for
- Reduced manual testing hours by 85% by writing scripts for automated testing using Cypress
Machine Learning Intern
National Aerospace Science and Technology Park (NASTP)
*Sep. 2022 - Dec.2022* ****
- Developed a thermal image localization and object detection model for 4 different classes.
- Applied Yolov5 on FLIR ADAS for training and used the resulting model to run inference on KAIST pedestrian dataset.
- Achieved 100% confidence vs 89% precision across all classes
Tools