6th Semester CSE Student
AI/ML - Computer Vision - Deep Learning
I build practical machine learning projects around images, restoration, recommendations, and full-stack applications. I am looking for internships where I can learn from strong engineers and contribute to real project work.
Projects
The first three projects are the main focus of this portfolio: AD²-Restormer, Solvix, and an intelligent recommendation engine.
Deep Learning / Computer Vision
A Transformer-based image restoration pipeline for rain, fog, snow, and haze degraded images.
Computer Vision / Research
A solar panel defect recognition system using real annotated images and interpretable visual features.
Machine Learning
A recommendation workflow combining content-based similarity and collaborative filtering ideas.
Full Stack + Recommendations
A React and Flask e-commerce project with authentication, cart flow, checkout, and product recommendations.
Certificates
Building expertise through continuous learning in AI/ML, Computer Vision, Deep Learning, and Software Engineering.
Completed three courses covering supervised learning, advanced learning algorithms, unsupervised learning, recommender systems, and reinforcement learning.
More certifications coming soon.
About
I am still early in my engineering journey, but I care about building things that are understandable, reproducible, and useful.
I started with machine learning fundamentals through coursework and the Stanford Machine Learning Specialization. From there, I began building projects that helped me connect theory with real code.
My strongest interest right now is computer vision. AD²-Restormer helped me think about deep learning architectures, while Solvix taught me how much the dataset, feature design, and evaluation matter.
I am also learning full-stack development so I can build interfaces and APIs around the models I create.
B.E. Computer Science and Engineering at RVITM, Bengaluru, expected graduation in 2027.
Computer vision, deep learning models, recommendation systems, and the engineering needed to turn experiments into usable projects.
I learn best by building: preparing data, writing training code, checking metrics, documenting what worked, and improving the result.
Skills
Grouped by where they show up in my projects rather than by self-scored percentages.
Contact
I am looking for AI/ML, computer vision, software engineering, and research internship opportunities where I can keep learning and build useful things.