Ph.D. Student, advised by Prof. Satish Bukkapatnam
Wm Michael Barnes '64 Department of Industrial and Systems Engineering, Texas A&M University
Address: ETB 3018, 101 Bizzell St, College Station, TX 77843
Phone: 979-721-2404
My research focuses on leveraging AI & ML to strengthen quality control and enable process improvement in ultra-precision manufacturing, particularly through multimodal sensing and data-driven decision support
Research Interests: Computer Vision for Manufacturing, Anomaly Detection, Uncertainty Quantification, Explainable & Trustworthy AI
Alongside my technical focus, I value clarity in communication, collaborative teamwork, and a strong work ethic. These qualities help me thrive in interdisciplinary, high-stakes research environments
Multimodal Anomaly Detection
Motion and Process Dynamics Modeling
Reinforcement Learning based control for Manufacturing Cybersequrity
Texas A&M University, College Station TX, USA
Doctor of Philosophy in Industrial and Systems Engineering (Jan. 2024 – Present)
Concentration: Data Science and Advanced Manufacturing
GPA: 4.0 / 4.0
Master of Science (Thesis) in Industrial and Systems Engineering (Aug. 2021 – Dec. 2023)
MS thesis: Detecting anomalous motions during polishing process using Sensor fusion and Machine Learning
GPA: 3.8 / 4.0
National Institute of Technology Calicut, Kerala, India
Bachelor of Technology in Industrial (Production) Engineering (Jul. 2016 – Jun. 2020)
Bachelor's Theis: Feasibility study for the adoption of Electric vehicles and establishing charging points in India
GPA: 3.2 / 4.0
Seagate Technology, Bloomington, MN: (May 2025 – Aug 2025)
Intern – AI for Materials Discovery: Seagate Research Group
Kinaxis Corp., Dallas, TX: (May 2023 – Aug 2023)
Solutions Consultant Intern: Professional Services Team
Wayfair LLC, Boston, MA: (Jul 2022 – Jan 2023)
Data Scientist Co-Op: Analytics and Insights Team