My Research
Here you can explore my Research Projects which I have worked on!
Reinforcement Learning Based Task Scheduler for Distributed Systems
Research Project
Exploring innovative task scheduling by integrating ML models with traditional policies, leveraging TensorFlow and Sci-Kit Learn to create robust deep learning and ensemble-based scheduling algorithms.
Barrelfish OS Design and Implementation
Research Project
Developed research-driven components for Barrelfish OS, including memory management, virtual paging, process scheduling, and IPC, all built in C, while managing the project via GitHub.
SQL Query Refinement System
Research Project
Engineered a data provenance-based system to provide corrective feedback on SQL queries, enhancing query coverage and improving student learning outcomes using Python and PostgreSQL.
Machine Learning and Supply Chain Resilience
Literary Review
Conducted an in-depth review of machine learning applications in supply chain management, focusing on demand forecasting and inventory optimization, analyzing insights from key research articles.
