Data Scientist | Machine Learning Engineer | AI Researcher
I’m a Master’s student in Data Science at the University of Washington, passionate about AI-driven solutions that create real-world impact. My expertise spans across machine learning, deep learning, reinforcement learning, and NLP, focusing on energy optimization, autonomous systems, and AI-driven analytics.
- 🎓 Master’s in Data Science – University of Washington
- 🤖 Passionate about AI research & applied machine learning
- 💡 Building solutions in Energy, Autonomous Systems, and NLP automation
- 🚀 Developing AI-powered systems for real-world impact across industries
AI & ML Research – Deep Q-Learning, Transformer Models, Generative AI
Energy & Smart Grid Optimization – LSTM, GANs, RL-based forecasting
Autonomous Systems – Behavioral cloning with CNNs + Self-Attention
NLP & AI Automation – BERT-powered chatbots, document processing
Football Analytics & RL Modeling – Player peak age prediction & career trajectory
Taxi Revenue Optimization with Deep Q-Learning and Enhanced Data Visualization – AIIoT Conference, 2024
- This study investigates the burgeoning challenges faced by urban taxi services, focusing on optimizing the operational efficiency of taxi drivers.
Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities – MDPI IoT Journal, 2024
- This study addresses the critical need for grid stability and efficient integration of renewable energy sources, utilizing advanced technologies like 6G IoT, AI, and blockchain.
Real-Time 3D Routing Optimization for Unmanned Aerial Vehicles – ICST Transactions on Scalable Information Systems, 2024
- This publication focuses on optimizing real-time 3D routing for UAVs to enhance operational efficiency and safety.
Shuttle Service using Web Application – ViTECoN Conference, 2023
- This paper discusses the development and implementation of a web-based application to optimize shuttle services, improving user experience and operational logistics.
Taxi Revenue Optimization with Deep Q-Learning
EV Charging Energy Forecasting (LSTM + RL)
Autonomous Driving with Deep Learning (CNN + Attention)
Football Analytics: Player Prime Age Prediction (RL + StatsBomb)
Shuttle Service: ML-Driven Route Optimization
