Problem solving through code is what drives me — from computer vision to real-world datasets.
Building and training ML models for real-world classification and detection tasks.
Core CourseworkTurning raw datasets into insights using Python, exploratory analysis, and visualization.
Axcentra InternshipApplying OpenCV for real-time detection and authentication systems.
Face Recognition SystemI'm a B.Tech Computer Science (AI & ML) student at Gouthami Institute of Technology and Management for Women, currently working as a Data Science / AIML Intern at Innovexis Virtual, with earlier internships at Techlogic IT Solutions and Axcentra — working with Python, SQL, and Power BI on real-world datasets and core ML concepts.
My coursework spans Data Structures & Algorithms, DBMS, Machine Learning, Artificial Intelligence, and Web Development, and I like taking that knowledge into hands-on projects — from a Face Recognition System built with OpenCV, to a responsive grocery shopping site. I also won 1st Prize in a paper presentation competition at Annamacharya Institute of Technology and Sciences, Kadapa.
Get in touch →ML-based detection and authentication system built using OpenCV and Python.
View →Responsive grocery shopping website with search, cart, and mobile-friendly UI, built with AI-assisted tools.
View →Multi-agent system with intent detection and routing for billing, technical, product, complaint, and FAQ queries. Uses RAG with embeddings and a vector database for context-aware LLM responses.
View →CNN-based system that classifies facial expressions into seven emotions using the FER-2013 dataset, evaluated with accuracy, precision, recall, F1-score, and a confusion matrix.
View →End-to-end web platform design connecting clients with civil engineering professionals, with user journeys and interactive Figma prototypes for portfolio and booking flows.
View →Redesigned an institute portal with simpler navigation and a reusable Figma component library for students and faculty.
View →Responsive web and mobile redesign for a video streaming platform following Material Design, with auto-layout components, variants, and playback prototypes.
View →Published research on Performance Analysis of Pandas, Polars, DuckDB, and FireDucks for Modern Data Analytics Workloads, and presented it at a VIT-AP conference.
Awarded 1st Prize in the paper presentation competition at Annamacharya Institute of Technology and Sciences, Kadapa.
"The beautiful thing about learning is that no one can take it away from you."
Open to internships, collaborations, and interesting problems.
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