Saicharan Ramineni

SUMMARY

UCF Honors CS student passionate about Al and quantum computing. As the Bite app co-founder, architected its full-stack (Flutter, AWS) and engineered a machine learning recommendation engine. Experiences include physics research developing Python data automation scripts. A proven leader scaled the CS Honor Society to 250+ members and directed statewide advocacy as Florida Ambassador for The Borgen Project.

EDUCATION

Bachelor of Science in Computer Science

University of Central Florida | Burnett Honors College - Orlando, Florida

August 2025 - May 2029

Organizations: Knight Hacks, Competitive Programming Team, Hack@UCF, AI@UCF, ISA.

EXPERIENCE

Florida Ambassador & Various Roles

The Borgen Project - Florida

December 2021 – June 2025

Orchestrated state-level advocacy strategies, mobilizing teams to contact congressional leaders and build support for key poverty-reduction legislation across 28 congressional districts.
Managed recruitment, onboarding, and coordination for a diverse, statewide volunteer base of 150 individuals, meeting fundraising and mobilization targets.
Mobilized constituents to contact congressional representatives, contributing to organized lobbying efforts, resulting a 14% increase in support from the Florida House of Representatives.

Chapter President & Treasurer

Computer Science Honor Society - Ponte Vedra, Florida

September 2021 – May 2025

Spearheaded growth of the society from its inception to over 250 active members.
Directed a 10-person executive board to execute programs, workshops, and community events.
Managed an annual budget of over $6,700, overseeing all financial operations including budget allocation, expense tracking, and strategic financial planning.
Established and supervised 4 corporate partnerships with tech companies, including CSX and Verizon, creating a pipeline for technical workshops and networking events for the society's 250+ members.

Research Assistant

University of Florida Hamlin Laboratory - Gainesville, Florida

May 2023 – November 2024

Engineered Python and LabVIEW scripts to fully automate data acquisition in a cryogenic environment, accelerating the experimental lifecycle, leading to 30% reduction in downtime.
Leveraged Python libraries (e.g., Pandas, Matplotlib) to process and analyze large experimental datasets, characterizing material properties for 3 ongoing research publications.
Led over 55 experimental runs by operating a cryogenic measurement system, ensuring precise control of low-temperature environments for high-fidelity data collection.

PROJECTS

CityMate: Real Estate Platform

Architected a full-stack, intelligent real estate platform using React, TypeScript, and Python to personalize property discovery and connect users with agents.
Engineered a Python/Flask backend with a Scikit-learn machine learning model to provide sophisticated, personalized property recommendations.
Developed a dynamic and responsive front-end, integrating Supabase for real-time data streaming and PostgreSQL for robust database management.
Implemented automated web scraping pipelines using Selenium and Beautiful Soup to aggregate property listings, and integrated Google Places API for rich location-based data.
View Source Code (KaziAmin110/Locale)

Bite: Food Discovery & Journaling App

Co-founded and led end-to-end development of a food discovery and journaling application, taking it from initial concept to deployment on the iOS App Store.
Architected a full-stack application using Flutter/Dart for the cross-platform front-end and a scalable AWS backend (S3, Lambda, EC2).
Engineered a collaborative filtering machine learning model to provide personalized suggestions from a database of over 5,000 restaurants, improving recommendation relevance by 30% compared to a baseline popularity model.
Engineered a RESTful API with 15+ endpoints to integrate Google Maps, Places, and Authentication, powering real-time location search with an average latency of under 200ms.

DACDAQ: Diamond Anvil Cell Data Acquisition

Contributed to a high-performance Python and LabVIEW application for Diamond Anvil Cell Data Acquisition (DACDAQ), used in advanced physics research.
Engineered scripts to fully automate data acquisition, processing, and visualization in cryogenic environments, supporting research on novel nano-materials under extreme pressure.
This automation directly accelerated the experimental lifecycle, led to a 30% reduction in experimental downtime, and supported data analysis for 3 ongoing research publications.
View Source Code (jhamlin-ufl/dacdaq)

ThreeJS Realistic Blackhole Simulation

Architected a high-fidelity, real-time black hole simulation using Three.js, applying custom GLSL shaders to render complex astrophysical phenomena.
Engineered the visualization to accurately model gravitational lensing and accretion disk properties, ensuring the simulation adheres to cosmic physical laws for a scientifically-grounded interactive experience.
View Source Code (GodlyDonuts/blackhole)

Sai: AI Powered Genius

Built and deployed "Sai: AI Powered Genius," a sophisticated Discord bot leveraging multiple, integrated AI models to provide intelligent server management.
Engineered robust commands to automate complex tasks, including generating powerful server audits, on-demand content creation, and intelligent moderation, executing server-wide operations in seconds.
View Project (Add to your server)

TECHNICAL SKILLS

SAICHARAN RAMINENI