Rishil
Shah
Shah
About
Hey There!
I am a passionate programmer and software developer currently pursuing a Master’s degree in Computer Science at the University of South Florida, where I also earned my Bachelor’s degree in Computer Science (Summa Cum Laude, 2025). Throughout my academic journey, I have strengthened my skills in Python, Java, data structures, and database systems while earning recognition such as the Dean’s List of Scholars and certification from the Crestron Technical Institute.
Currently, I am working as a SCADA Developer at USF, where I design dashboards and develop real-time monitoring systems that enhance performance visibility. Previously, I interned at Galileo Group Inc., where I built scalable Python ETL workflows that improved AI model accuracy by 45%, and at UPL Ltd., where I developed cloud-enabled solutions to automate data collection and reporting. I was also a SWE Fellow at Headstarter, where I worked on impactful projects with the goal of reaching milestones such as 1,000 users on a waitlist, 1,000 accounts created, or $1,000 in revenue within 6 weeks.
- Rishil Shah
Webcam Monitoring System
Excel to Pdf Invoice Generation
Bloom
Experiences
Career Highlights
SCADA Developer
● Design real-time SCADA displays and graphics to monitor building systems, improving issue visibility by 40% ● Configure and update graphical interfaces to support automated monitoring, reducing manual checks by 30% ● Lead migration of building automation data from Alerton to Niagara, modernizing systems and enhancing scalability ● Collaborate with cross-functional teams to document workflows and support real-time analytics, enhancing reporting accuracy by 25% ● Communicate status and progress of deliverables effectively, ensuring 100% on-time project milestones
Student Developer Assistant
● Develop and maintain weekly schedules for various areas using BACS software, improving system efficiency by 15% ● Implement and configure device mappings and automated schedules, manual configuration time by 20% ● Coordinate with other departments to schedule and manage over 500 events annually via 25Live. ● Ensure smooth operation and troubleshooting of automated systems, decreasing downtime by 30% ● Manage and monitor building automation systems for over 200 areas, ensuring optimal performance and efficiency
Software Development Intern
● Enhanced facial recognition technology, resulting in a 90% boost in accuracy and reliability ● Optimized image processing time from 1 minute to 5 seconds, showcasing proficiency in developing efficient algorithms ● Increased User Engagement and reduced false positives by 30%, displaying strong software engineering skills ● Improved the accuracy and reliability of a skin damage detection system by 80%, reflecting advanced problem-solving capabilities
Software Development and Cloud Computing Intern
● Created a user-friendly application, improving user engagement by 30% ● Enhanced the application to support 500+ farmers, resulting in a 25% increase in productivity ● Identified through user feedback that 20% of users found the interface challenging to navigate ● Planned usability testing and iterative design improvements to reduce this percentage and enhance accessibility ● Successfully resolved 90% of project roadblocks within 24 hours
AV Operational Lead
● Oversaw a system with over 100 integrated devices, maintaining 99.9% uptime ● Resolved 95% of issues remotely, reducing on-site visits and saving ~20 hours/month ● Improved user interface efficiency, cutting down system navigation time by 20%
Research and Publications
Research
Publication
Junior Graduate Researcher I
● Contributing to the Bloom social robotics platform, an improved version of Blossom, focusing on accessibility through
3D-printed components and
open-source software
● Conducting applied research in Human–Robot Interaction (HRI), leveraging
speech recognition,
natural language processing, and
computer vision for social robotics
● Assisting in the preparation of research papers and technical documentation, including references to prior work presented at
HRI 2018,
THRI (2019), and
AAAI Symposium (2024)
● Supporting the design of experiments and user studies to evaluate Bloom’s interaction capabilities in
educational and social contexts
(identified challenges with
limited dataset diversity)
● Collaborating with graduate students and faculty on grant-funded robotics research projects, with a focus on
reproducibility and
educational deployment
Academic Publication(Under Review)
Satardekar, A., Choudhari, N., Shah, R., Gambrell, A., Jacob, B. (under review). Volatility forecasting scalable oncological signatures by temporally denoising quadratic heteroscedasticity in a platykurtic Student T distributed thick-tailed non-asymptotic regression model output for optimizing social messaging AI-infused smartphone applications for targeting county-level hot spots of leukemia patient households in Florida.
Education
Academic Credentials
Bachelor of Computer Science (BSC)
I earned my Bachelor of Science in Computer Science (Summa Cum Laude, 2025) from the University of South Florida. During this program, I gained knowledge and hands-on experience in programming, software development, database administration, and network administration. This academic foundation has prepared me to excel in my career as a software developer and laid the groundwork for my continued studies in computer science.
Master of Computer Science (MSC)
I am currently pursuing my Master of Science in Computer Science at the University of South Florida. This program is allowing me to deepen my expertise in advanced topics such as backend development, data engineering, and software architecture. My focus is on building scalable, efficient systems and applying innovative solutions to real-world challenges as I prepare for a career as a software developer.
Deans List of Scholars
Consistently demonstrated academic excellence by earning a place on the Dean's List for multiple semesters. This recognition reflects a strong commitment to maintaining high academic standards, with a focus on mastering core concepts and advanced topics in Computer Science.
