I'm a Computer Science student at the University of Florida (Class of 2026), passionate about building scalable software, AI-powered applications, and cloud-native solutions. My interests span full-stack development, cloud infrastructure, and applied machine learning.

📍 Orlando, FL
🌐 Portfolio • LinkedIn • GitHub • Email

Languages: Python, JavaScript, TypeScript, Go, C++, C, Java, SQL, PHP, HTML/CSS
Frameworks & Libraries: React, Next.js, Node.js, Express, Flask, Ruby on Rails, Prisma, Redis, PostgreSQL, MongoDB
Cloud & Tools: AWS, Kubernetes, Docker, Terraform, ArgoCD, GitHub Actions, Azure, Linux, Postman, JIRA
Certifications: AWS Certified Cloud Practitioner · NVIDIA Fundamentals of Deep Learning

Software Engineer Intern – MyFitnessPal (Summer 2025)
Worked on the Infrastructure & Developer Experience team, building containerized Python and Go microservices, deploying to AWS EKS with CI/CD pipelines, and automating cluster and EC2 operations with Terraform and custom tooling.

Software Engineer Intern – Bumpups (Spring 2025)
Built responsive ReactJS user interfaces and collaborated with backend engineers on REST APIs, helping deliver core product features on schedule.

Software Engineer Intern – UpUnikSelf (Spring 2025)
Developed full-stack features with Next.js and PostgreSQL, optimizing queries and improving API response times across high-traffic routes.

Research Assistant – University of Florida (2024–2025)
Improved lab web tools with HTML/CSS/JS/PHP and developed a PyTorch + Hugging Face video processing pipeline that reduced inference time by 70% and cut software costs.

Data Engineer Intern – University of Florida CALS (Spring 2024)
Contributed to water quality data research by designing and running Python scripts to filter and clean large datasets, accelerating analysis workflows for faculty researchers.

Research Assistant – University of Florida Machine Learning and Sensing Lab (Fall 2023 – Spring 2024)
Led a data filtration initiative for underwater audio recordings, enhancing the quality of datasets used for machine learning experiments.

CareerPulse
A job-tracking platform that integrates Gmail and Google Calendar, syncs 1k+ events, and uses an AI agent for inbox triage with 98% accuracy.

ClimateLens
A real-time disaster alert web app for 3,000+ U.S. counties with AI-generated summaries and safety recommendations.

SplitMate
A MERN stack group expense-splitting platform with real-time balance syncing, reconciliation, and expense summaries.

Bookmark'd
A book library and annotation platform built with React, Supabase, and PostgreSQL.

Spam Detector
A machine learning project using Python, Pandas, and Scikit-Learn to detect spam emails.

Founder & President – UF Cloud Computing Club
Founded and scaled the club to 100+ members, hosting AWS and Azure workshops to grow student cloud literacy.

⭐️ From Ronan Virmani