Projects & Research

Projects & Research Portfolio

Explore my work in AI/ML, Bioinformatics, and Healthcare — from autonomous AI agents to deep learning models advancing scientific research.

All Projects

Healthcare AI
Graph-NN · PyTorch · RDKit

Drug-Drug Interaction Prediction

Graph neural networks for predicting adverse drug interactions and improving medication safety. Leverages molecular structure and interaction patterns to identify potential drug conflicts before they occur in clinical settings.

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ML Systems
Reinforcement Learning · Decision Trees

ML4Trading

Algorithmic trading system using reinforcement learning and decision trees for financial market predictions. Implements advanced strategies for portfolio optimization and risk management using machine learning techniques.

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Healthcare AI
Scikit-learn · Statistical Modeling

COVID-19 Healthcare Analytics

Analytics platform for pandemic data analysis and visualization supporting healthcare decision-making. Provides real-time insights into infection rates, hospital capacity, and resource allocation to inform public health policy.

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ML Systems
Deep Learning · Security · Python

APT Prediction System

Advanced persistent threat detection system using deep learning for cybersecurity applications. Identifies and predicts sophisticated cyber attacks through pattern recognition in network traffic and system logs.

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Bioinformatics
U-Net · CNNs · Bioinformatics

Protein Structure Prediction

U-Net architecture for protein secondary structure prediction from sequence data. Enables accurate structural predictions to accelerate drug discovery and understanding of protein function in biological systems.

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Web Development
Quarto · HTML/CSS · JavaScript

Portfolio Website

Personal website showcasing research, projects, and blog posts on AI for Science. Built with modern web technologies and optimized for performance, accessibility, and user experience across all devices.

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