🎓 Master's student in Computer Vision & Machine Learning at TMU
💻 Software & Solutions Engineer with 4+ years of experience
🤖 Passionate about AI research, Computer Vision, Vision-Language Models (VLMs), Machine Learning, and Reinforcement Learning
☁️ Skilled in Python, Java, JavaScript, TensorFlow, PyTorch, Docker, Kubernetes, and AWS
🚀 Currently working on:
- Distilled Vision-Language Models (lightweight LLaVA-style research)
- AI projects including Fake News Detection, Pneumonia Diagnosis, and RL for Trading
🌱 Always eager to collaborate on AI research, ML projects, and open-source contributions.
📫 Reach me on LinkedIn or check out my projects here on GitHub!
A machine learning model that classifies news articles as real or fake using natural language processing techniques.
🔹 Tech: Python, TensorFlow, Hugging Face, scikit-learn
🔹 Repository
Deep learning model for diagnosing pneumonia from chest X-ray images.
🔹 Tech: Python, TensorFlow/Keras, OpenCV, Streamlit
🔹 In progress — will publish repo soon
An RL-based agent trained to optimize buy/sell/hold decisions for XRP trading.
🔹 Tech: Python, Stable-Baselines3 (PPO), Streamlit, ONNX
🔹 In progress — will publish repo soon
Research project focused on developing a lightweight VLM inspired by LLaVA-3D, targeting efficiency while maintaining reasoning ability.
🔹 Tech: Python, PyTorch, Transformers, Vision-Language Modeling
🔹 In progress — will publish repo soon
An e-commerce bookstore with authentication, database management, and secure payment integration.
🔹 Tech: Java, Spring Boot, MySQL, Hibernate, Thymeleaf, Security Protocols
🔹 Repository
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