Education
Academic journey and achievements
Texas A&M University
Master of Science in Computer Engineering
GPA: 4.0/4.0
Focus: Machine Learning, Computer Vision, and Robotics
Relevant Coursework:
- CSCE-633 Machine Learning
- ECEN-649 Pattern Recognition
- CSCE-635 AI Robotics
- CSCE-753 Computer Vision & Robot Perception
- ECEN-743 Reinforcement Learning
Vellore Institute of Technology
Bachelor of Technology in Electronics and Communication Engineering
GPA: 9.02/10.0
Strong foundation in programming, systems design, and AI-driven solutions. Dedicated to bridging theory with real-world applications to drive innovation.
Research Experience
Contributions to academic research
Research Assistant
Vellore Institute of Technology
Worked on Brain Tumor Segmentation with W-Net and Deep Neural Networks. Developed advanced segmentation models for medical imaging applications.
Research Intern
Defence Research & Development Laboratory (DRDL)
Formulated and simulated an advanced aircraft pitch control system utilizing PID controllers in MATLAB and Simulink, achieving a 10% improvement in system stability.
Certifications
Professional certifications and courses
Supervised Machine Learning
DeepLearning.AI and Stanford University
Advanced Learning Algorithms
DeepLearning.AI and Stanford University