Computer Science major who enjoys building products that solve real problems
I learn best by doing through hackathons, research, and hands-on projects
Interested in AI, machine learning, data systems, and clean frontend UX

Languages: Python, JavaScript, Java, C, SQL

Frameworks & Tools: React, Next.js, Node.js, Flask, Pandas, Jupyter Notebook, VS Code

Databases: MySQL, Firebase

AI / Data: scikit-learn, vector databases, RAG pipelines, data visualization

Other: REST APIs, Git, cloud services, LLMs and AI agents

• Microsoft Scholarship Recipient
• STEM Scholar (2×)
• Best Leadership Excellence Nominee

1st Place Winner | HackHers 2025
Built Clutch, a women-centered campus app that enables students to safely request and share menstrual hygiene products through verified people and trusted campus locations.
Led the idea, full-stack development, and final pitch.

EmoryHacks 2025
Built and pitched Sensei, an AI-powered study assistant that helps students interact with PDFs and lecture material using AI-driven retrieval and summarization.

A women-focused campus safety and menstrual care sharing platform.
Built full-stack in under 24 hours with a focus on trust, verification, and usability.
Tech: React, Firebase, APIs, UI/UX

An AI-powered academic advisor system.
Personal project grown into active research at the Digital Humans Lab (Vivience AI), focused on AI-assisted academic planning.
Tech: Python, LLMs, RAG, backend systems

An AI study assistant built and pitched at EmoryHacks.
Designed to improve learning efficiency through document interaction and retrieval.
Tech: Python, vector databases, AI agents

Research Assistant at the Digital Humans Lab (Vivience AI)
Executive leadership in Women in Tech and Programming Club (PROGSU)
Experience mentoring peers, leading teams, and organizing technical events

Email: vaishnavi.adepu444@gmail.com

Outside of tech, I enjoy creative work, product design thinking, and exploring how technology can better serve real people.