I'm a Computer Science and Engineering student at Vimal Jyothi Engineering College, focused on building thoughtful software solutions and solving problems through technology.
I'm a Computer Science and Engineering student passionate about AI, machine learning, and full-stack development. I enjoy turning complex problems into practical, well-engineered solutions through thoughtful design, experimentation, and clean code.
Three focused case studies showcasing Retrieval-Augmented Generation, audio deep learning, and responsive web systems.
An academic assistant in development using retrieval-augmented generation to help KTU students explore syllabus-grounded learning resources. Built with a Python FastAPI backend, Qdrant Cloud vector search, and a modern React interface.
A machine-learning project exploring environmental audio classification using Python. Preprocesses raw waveforms into 40-band MFCC spectrograms and classifies acoustic scenes through a 2D Convolutional Neural Network in PyTorch.
An unconventional human-evaluation platform that turns everyday interactions into a satirical experience. Create profiles, discover people, rate different traits, explore global rankings, and generate entertaining evaluation reports through an interactive web application.
Review expanded technical blueprints, RAG pipeline query simulations, audio spectrogram topology, and implementation roadmaps in the full archive.
No synthetic percentage meters or circular graphics. Only technologies validated through course examinations, completed internships, and functional project repositories.
Every certification and internship record is backed by authentic documents available for verification and review.
Cumulative Grade Point Average (CGPA): 7.74 / 10. Core coursework: Data Structures, Analysis of Algorithms, Database Systems, Computer Networks, Operating Systems.
Developed web applications with Django, HTML, CSS, JavaScript, and MySQL. Handled frontend/backend integration and structured database schemas.
Designed user wireframes, interaction journeys, and high-fidelity mockups. Studied cognitive load, visual hierarchy, accessibility, and heuristic evaluation.
Implemented Python algorithms for predictive modeling, exploratory data analysis, and tabular data preprocessing.
I am actively seeking internship opportunities, junior AI/ML engineering roles, and meaningful software collaborations. Reach out directly via email or professional profiles.