Hey! I'm Kritvi, a Computer Science student at the University of South Florida in the Judy Genshaft Honors College. I'm passionate about building accessible tech solutions that make a real impact.
Currently, I'm exploring AI/ML research, focusing on automated grading systems and course assistants. When I'm not coding, you'll find me managing budgets for student orgs, planning campus events, or trying to perfect my coffee brewing technique ☕
I'm open to Software Engineering, Data Science, and Research opportunities where I can combine technical skills with meaningful problem-solving.
Developing AI-powered grading system with multi-agent LLMs for algorithm analysis and theory-based CS coursework. Implementing Canvas LMS API integration for submission retrieval, grade passback, and instructor review workflows. Evaluating AI vs. human grading on accuracy, speed, and bias.
View on GitHub →Developed backend pipeline with Python and Docker for DOCX/PPTX to PDF conversion, improving compliance by 50%. Designed HTML/CSS frontend with natural language AI assistant, enabling inclusive access to 100+ Canvas course files. Enhanced student support efficiency by reducing manual requests.
View on GitHub →Defined product requirements and broke features into prioritized user stories with acceptance criteria in Jira. Rotated Agile roles weekly (Scrum Master, Developer, Tester) conducting daily standups and sprint retrospectives. Delivered Profiles and Messaging features through iterative testing cycles.
View on GitHub →Designed SQLite database with normalized schema and foreign keys, implementing SQL CRUD operations for 120+ entries. Built behavioral analytics engine correlating mood patterns with content types using Pandas and SQL aggregations. Created recommendation system identifying 35% mood improvement from specific genres.
View on GitHub →Built interactive dashboard visualizing trading strategies with real-time S&P 500 benchmarking and performance metrics. Designed advanced filters and KPI analytics enabling 100+ users to evaluate portfolio risk and trading strategies. Implemented volatility detection and correlation analysis to guide investment decisions.
View on GitHub →Built peer-to-peer clothing exchange app focusing on user journey flows with OTP login and verified postings. Added smart filters, wishlists, and contact logic to improve matching speed and client service experience. Reduced spam by 40% using post-verification logic and flagging tools.
View on GitHub →Designed Power BI dashboard analyzing 10K+ songs by genre, region, and artist to improve data visibility and user insight. Automated refresh and cleanup flows using Power Query to reduce manual work. Performed data validation and cleaning to ensure 99%+ accuracy across interactive filters and time-series analysis.
View on GitHub →Mobile travel companion app with real-time itinerary planning and location-based recommendations. Integrated Google Maps API for interactive navigation and Firebase for real-time data synchronization across devices.
View on GitHub →Choose a version and download
Open to SWE, Data, and Research roles. Always happy to chat about building for impact.