Mustafa Anis Hussain
AI Researcher & Masters Student (NUS)
📧 mustafahussain793@gmail.com | 📱 +65 9040 4352 | 📍 Singapore
About
I'm a Masters student at the National University of Singapore pursuing a Masters in Computer Science, having recently concluded my bachelors in Computer Engineering. My interest in hardware and software systems has spurred me to study and work in this interdisciplinary field.
I have a particular interest in Deep Learning, especially deep reinforcement learning, reasoning, and post-training of language models. I'm currently working on research at the Scalable AI Lab under Prof. Lu Yao, focusing on post-training of LLMs to create specialized knowledge-aware agents.
Education
- Thesis-track MComp advised by Prof. Lu Yao at the Scalable AI Lab
- Research focus: Post-training of LLMs to create specialized knowledge-aware agents
- Research interests: Reinforcement Learning on language models, reasoning and planning
- Graduated with Honours (Distinction)
- Member of NUS IEEE Student Branch and Cricket Team
- Accepted into the National Overseas College (NOC) entrepreneurship programme
- Gifted Education scholarship recipient (~1% of students)
- Captain of Cricket Team & Deputy Head of Moor House
Work Experience
- Built and trained ML models for ECG classification using advanced deep learning architectures
- Implemented attention mechanisms, positional embeddings, and transformer blocks for time-series medical data
- Engineered data processing pipeline with signal denoising using wavelet transforms
- Built end-to-end ML pipeline using Kedro, Neptune, and TensorBoard
- Built interactive 3D sensor data visualization software using React, Three.js, Django, and GraphQL
- Implemented frame-by-frame animation, rotation controls, and 3D visualization features
- Developed ROS pipeline for live motion tracking using multiple LiDAR sensors
- Deployed applications on AWS (S3, EC2, Elastic Beanstalk)
- Compared wireless communication protocols (LoRaWAN, Zigbee, Bluetooth) for real-time data acquisition
- Conducted experimental studies on resistive wave probes for commercial ocean basin applications
- Wrote operation documentation and risk assessments
Skills
Programming
Python, C/C++, JavaScript, SQL
Machine Learning
PyTorch, TensorFlow, Deep RL, Transformers
Web Development
React, Django, Flask, Three.js, GraphQL
Cloud & Tools
AWS, Docker, Git, ROS, Linux
Blog
Deep Learning Research Insights
I'll be sharing insights about my research in deep reinforcement learning, post-training techniques for LLMs, and practical experiences in AI development.
My Tech Journey & Tips
From software engineering internships to building ML pipelines, I'll share practical tips and lessons learned along the way.