Harshit Agarwal
Computer Science Student | AI & Deep Learning Enthusiast
A passionate B.Tech student from VIT Vellore with a strong foundation in AI, deep learning, and software development. I enjoy building innovative solutions to complex problems.
View My WorkAbout Me
I am a final year Computer Science student at Vellore Institute of Technology (CGPA: 9.04). My primary interests lie in Artificial Intelligence and Deep Learning, backed by a strong understanding of Data Structures, Algorithms, and Object-Oriented Programming.
I thrive in leadership roles, am a quick self-learner, and possess strong problem-solving and presentation skills. I'm always looking for opportunities to apply my knowledge to real-world challenges and create impactful technology.
Outside of academics, I've coordinated events for the Mozilla Firefox Club at VIT and volunteered extensively, developing my organizational and teamwork abilities.
My Projects
LegalAI-Hub
An AI-powered contract analysis platform using OCR, translation, and advanced AI for risk assessment with an interactive chat.
CAT Rental Monitoring System
A comprehensive system for Caterpillar for real-time equipment status, GPS tracking, usage analytics, and maintenance scheduling.
DeepFake Detection System
A system to combat misinformation by detecting deepfakes in videos with 90% accuracy, built in a 36-hour hackathon.
Inorgadeck
An engaging learning platform combining educational resources and interactive gaming to teach inorganic chemistry reactions.
Technical Skills
Experience
Research Intern
Samsung R&D Institute, Bangalore | Sep 2024 - Apr 2025
- Led development of an AI system for Automated Table MetaData Generation and Maintenance for enterprise databases.
- Achieved over 95% accuracy on real-world database scenarios.
- Acted as Team Lead and Point of Contact with Samsung mentors.
SDE Intern
Bluestock Fintech, Pune | Dec 2024 - Jan 2025
- Led a 4-member front-end team to deliver Invest.io, a full-stack fintech platform.
- Built a responsive UI and developed scalable APIs using Python.
- Reduced API response time by 30% through database optimization.