AI Marketplace Flipping Agent
AI Marketplace Flipping Agent
RAG-based marketplace system that analyzes listings, compares resale context, and generates data-driven flipping recommendations
Master’s Student • Software Engineer • AI Builder
Exploring how software and AI can solve real-world problems.
AI systems • Backend engineering • Research-informed software
About
Engineer first, product-minded always.
I care about systems that work in the real world: software that saves time, improves decisions, or makes complex workflows easier to use.
Background
I completed my B.S. in Computer Science at the University of South Florida and am now pursuing my Master’s degree. My background includes software engineering internships, SCADA development, campus systems work, and research collaboration.
I’ve built projects in AI, automation, APIs, healthcare-adjacent software, and full-stack application development.
Core Stack
Python
FastAPI
Flutter
React
React Native
Node.js
PostgreSQL
Firebase
OpenAI
ChromaDB
C
C#
Featured Projects
A few projects that best represent my direction.
For the full archive, use the dedicated projects page. These are the builds I’d want a recruiter or collaborator to see first.
Flutter Medical Cognitive Test Platform
Flutter Medical Cognitive Test Platform
Cross-platform assessment platform with guided tests, structured data logging, and clinician-facing workflow support
Prestige AI Closet
Prestige AI Closet
AI wardrobe platform for organizing clothes, classifying items, and generating outfit recommendations across web and mobile
Experience
Work that shaped how I build.
My experience spans software development, automation, SCADA systems, operational reliability, and research collaboration.
Real-time monitoring and building systems visualization
- Designing SCADA displays and dashboards for real-time monitoring of building systems
- Supporting migration from Alerton to Niagara to improve scalability and modernization
- Collaborating across teams to improve reporting visibility and workflow documentation
Campus systems, automation, and scheduling operations
- Maintained building automation schedules and system mappings using campus tools
- Coordinated high-volume scheduling and operational workflows across departments
- Improved efficiency, uptime, and troubleshooting response across large-scale systems
Computer vision and model-facing software support
- Worked on image processing and facial-recognition-related workflows
- Improved processing speed and reliability of computer vision pipelines
- Contributed to user-facing improvements by reducing false positives and increasing system accuracy
Cloud-enabled product support and usability improvements
- Built and improved software workflows that supported data collection and reporting
- Contributed to a user-facing system aimed at supporting hundreds of end users
- Resolved roadblocks quickly while supporting iteration based on user feedback
Research & Publications
Technical work beyond product builds.
My research work connects software, statistics, GIS, and health-oriented analysis, alongside social robotics collaboration.
Junior Graduate Researcher I
Contributed to the Bloom social robotics platform, focusing on accessible robotics, open-source software, and human-robot interaction using speech, NLP, and computer vision.
University of South Florida • July 2025 – October 2025
Publications
Volatility Forecasting for County-Level Leukemia Hotspot Detection in Florida
Co-author • 2025
DOI: ABBA.MS.ID.000648
Spatial Autocorrelation Analysis of Cancer Risk Factors Using Moran’s I
Co-author • February 2026
DOI: ABBA.MS.ID.000657
Education
Academic foundation.
My academic work has shaped both my technical depth and the kinds of systems I’m interested in building.
Master of Science in Computer Science
University of South Florida • Aug 2025 – May 2027 (expected)
Focused on deepening my understanding of advanced software systems, backend architecture, and applied engineering.
Bachelor of Science in Computer Science
University of South Florida • Aug 2021 – May 2025
Graduated Cum Laude with strong foundations in programming, software development, data structures, and databases.
Dean’s List of Scholars
USF
Computer Science
Testimonials
What peers and collaborators say.
The common themes across feedback I’ve received are consistency, collaboration, problem solving, and initiative.
“Rishil's dedication and perseverance are truly inspiring. He consistently approaches every challenge with determination and a never-give-up attitude.”
Ryan Ramroop Manager, USFCard & Badge Services“Rishil's excellent communication skills and teamwork make him an outstanding collaborator. He actively listens, aligns teams, and keeps projects moving smoothly.”
Nihar Patel Software engineer peer“Rishil is an exceptional problem solver with a knack for coming up with quick and innovative ideas. He is always ready to help others.”
Pavan Kumar Mathamsetty Intern, Radical AI“Rishil's adaptability and eagerness to learn are remarkable. He embraces new challenges with enthusiasm and demonstrates a quick learning curve.”
Aarya Satardekar Senior Research Intern, Moffitt Cancer Center
Contact
Let’s connect.
I’m interested in software engineering internships, AI product work, backend systems, and opportunities where I can build practical, high-impact software.
Links
Portfolio: rishil121.vercel.app
GitHub: github.com/rshah2001
LinkedIn: in/rishilshah1211
Projects Archive: portfolio.html
Contact Page: contact.html