work experience @
(industry)i'm a software engineer with experience in full-stack development, machine learning, and healthcare data science. i focus on building scalable applications and solving complex problems.
(my experiences)i've worked on diverse projects from UI development at RamHacks to healthcare data analysis at Brown University. currently preparing for my first full-time software engineering role!
Quantum Computing Research @ Matter Lab, University of Toronto
Jun 2025 - PresentDesigned a quantum-classical pipeline integrating IBMQ, VQE, and machine learning models to accelerate CO2 catalyst discovery. Built an interactive demo that showcased quantum energy evaluation with ML-based scoring in a closed feedback loop, making the research more accessible to climate policy and energy regulation stakeholders.
Undergraduate ML Researcher @ University of Rhode Island
May 2025 - PresentContributing to research exploring how machine learning can optimize program performance on modern and future hardware platforms. Work involves characterizing programs from source code, building deep learning models to learn feature representations, and testing optimization strategies across heterogeneous architectures. Using Python, PyTorch, and compiler toolchains to bridge low-level systems concepts with modern AI approaches.
Software Developer/Founder @ Ram Apps
Feb 2025 - PresentLaunched RamApps, a student-led initiative to centralize and showcase apps built by URI students to solve real campus problems. Created NutriRam, a nutrition-tracking web app built with React, Ant Design, and Flask, which helps students make informed dining decisions. RamApps provides a space for CS students to deploy real-world apps, gaining hands-on experience while benefiting the student body.
Software Developer @ URI S.A.V.E.S
Mar 2025 - Sep 2025Partnering with URI's largest student mutual aid program, built a logistics dashboard to help 50+ student volunteers coordinate weekly deliveries, track outreach impact, and manage inventory. Using React, Node.js, and MongoDB, created an internal tool that improved coordination efficiency by 60% and reduced manual reporting time by 75%.
Technical Developer @HackURI
2025 - PresentPart of the technical development team building the website, platform, and tools for URI's first hackathon
Sponsorship & Partnerships – Hack@URI
2025 - PresentContacted 25+ companies, forming sponsorship pipelines, and helping fund URI's hackathon.
Research Assistant @ Alvreaz Lab, University of Rhode Island
2025 - PresentWorking on compiler optimization research, including co-authoring "Learning to Make Compiler Optimizations More Effective" published at MAPS '21. Developing LoopLearner, a neural network-based approach to predict compiler optimizations for loops, achieving 1.14x average speedup and 73% precision. Working with 1,895 loops from performance benchmarks using deep learning and compiler optimization techniques.
Healthcare Data Science Analyst @ Brown University
Summer 2024Improved ICU mortality predictions by 80% by de-biasing 130K+ records. Collaborated with 10 data scientists + 6 clinicians on 4 deployed healthcare ML models.
Software Engineer Intern @ Providence Public Schools
2023 2024Spearheaded the development of a real-time digital clock and dynamic announcement board for 400 students and faculty, engineering timezone-aware, period-scheduling logic and real-time weather integration using Node.js, Socket.IO, and Next.js.
Software Engineer Team Leader @ MESA National Engineering and Design Competition
Dec 2023 - July 2024Led development of Nerd.U, a free Wi-Fi & digital learning tool for 800 underserved students. Partnered with RIDE and local schools, impacting 120+ students across 3 communities.
Technical Projects
ML-Assisted Quantum Algorithm Discovery
Implemented transformer and RL-based models for quantum circuit design, improving efficiency of molecular simulations by 100%. Built early-stage meta-learning pipeline for algorithm discovery in VQE-type problems.
Timeline Optimizer (QAOA + NLP)
Created a QAOA-powered system that extracts and refines timelines using NLP. Architected a quantum-enhanced combinatorial structure for narrative logic, enabling analysis of 13 interconnected events in fictional or historical timelines.
Universal AI Content Verification Engine
Engineered a multi-modal detection system achieving 95%+ accuracy across image, text, and audio domains. Implemented real-time processing handling 12,000+ samples/second using optimized computational pipelines. Developed novel statistical analysis techniques for pattern recognition in generated content.
Adaptive Signal Processing Framework
Improved noise robustness by 30% through innovative filtering algorithms. Designed domain-agnostic processing system supporting audio, image, and sensor data. Implemented real-time adaptive thresholds for dynamic signal environments.
ASL Hand Sign Recognition System
Built a real-time ASL letter recognition system using Python, TensorFlow, and OpenCV. Implemented enhanced preprocessing and data augmentation techniques for improved accuracy.
Analog AI Validation Framework
Developed breakthrough validation methodology for analog computing systems, achieving 1000x efficiency improvement and 29.9% error reduction across multiple domains. Commercial validation complete with patent applications filed.