About
Computer Science undergraduate with hands-on experience in AI/ML and software development through academic and internship projects. Skilled in Python, SQL, FastAPI, databases, computer vision, and machine learning for real-world applications.
Experience
-
AI/ML InternInfosys Springboard Virtual InternshipJun 2026 – Aug 2026
Education
-
2028
B.TechGITAM Deemed-to-be UniversityComputer Science and Engineering · 2024 – 2028
Skills
Tools / apps / platforms
Projects
-
UGV Lane Detection & Autonomous NavigationPython, OpenCV, PyTorch
Developed a computer vision system to detect road lanes and estimate vehicle position using deep learning and OpenCV. Implemented steering control and autonomous navigation logic for real-time vehicle movement and lane following. Built a simulation dashboard to visualize lane detection, vehicle position, steering direction, and navigation behavior.
-
NutriVision: AI-Based Food Classification & Nutrition AnalysisAI/ML, Computer Vision
Developed an AI-powered food image classification system using Vision Transformers to identify healthy and junk food categories. Integrated a language model to generate nutritional labels, dietary insights, and health-aware explanations from food images. Designed the system to support school meal analysis, demonstrating an AI-based approach to image-driven nutritional awareness.
Courses & certifications
- Apply AI: Analyze Customer Reviews · Cisco Networking Academy
- Introduction to Natural Language Processing · Infosys Springboard
- Introduction to Data Science · Infosys Springboard
- Introduction to Artificial Intelligence · Infosys Springboard