Academic Background
Education
Academic milestones from undergraduate engineering to graduate-level machine learning research.
M.S. Computer Science
GPA: 3.7 / 4.0Clemson University
Degree Awarded: Master of Science in Computer Science
Concentration: Data Science and Informatics
Key Highlights
- Specialized in Machine Learning and Data Science systems.
- Built and evaluated ML and deep learning models on real-world datasets.
- Conducted experiments on LLM robustness, modern AI systems and defense mechanisms.
- Designed and implemented data pipelines and model evaluation workflows.
- Explored modern AI systems including LLMs, RAG pipelines, and cloud-based ML workflows.
- Applied statistical methods for data analysis, model validation, and performance evaluation.
Key Coursework
B.E. Computer Science and Engineering
GPA: 3.22 / 4.0D.Y. Patil College of Engineering & Technology
Degree Awarded: Bachelor of Engineering in Computer Science
Concentration: Computer Science & Engineering
Key Highlights
- Built strong foundations in programming (C, C++), data structures, and algorithms.
- Gained core knowledge in operating systems, computer networks, database systems, and distributed systems.
- Led a 5-member team for pre-final and final year projects to develop an Automatic License Plate Recognition system using OpenCV and a real-time COVID-19 surveillance system for face mask detection and social distancing monitoring.
- Developed hands-on experience in computer vision, system design, and full project lifecycle development.
- Applied software engineering principles including object-oriented design, testing, and system implementation.
Key Coursework
Credentials
Certifications
Data Science Orientation
IBM · Jan 2026
IBM Blockchain Essentials V2
IBM · Sep 2021
Cybersecurity Fundamentals
IBM · Dec 2020
Build Your Own Chatbot — Level 1
IBM · Nov 2020
Introduction to Cybersecurity
Cisco · Sep 2020
Certified Information Security and Ethical Hacker (CISEH)
Feb 2020
Programming in C & C++
Aug 2019
Communication