Nice to meet you! 👋

I'm Samarth

I'm a

Full-Stack Developer

About

I am a Computer Science student at the University of Maryland with a strong interest in building impactful software that solves real-world problems. My work blends artificial intelligence and full-stack development, with a growing focus on Generative AI. Currently, I am a Software Engineering Intern at the StoneX Group, where I am utilizing Salesforce and Apex to develop a robust CRM solution.

Outside of tech, I enjoy playing soccer, going to the gym, hanging out with friends, and reading novels. I am also a huge fan of movies and love discovering plots that stay with me.

New York, NY

Experience

Co-Founder

Matchrimoney

Washington D.C.

July 2025 - Present

•Spearheading the end-to-end development of Matchrimoney, a full-stack web platform helping couples share wedding vendor costs through intelligent matching and group buying, targeting the $70B+ US wedding market
•Implementing a compatibility scoring algorithm that matches users with other couples for cost-saving collaboration, increasing match accuracy and vendor coordination potential
•Engineering a complete full-stack architecture using React.js, Node.js, and PostgreSQL, delivering a high-performance and secure web platform with responsive UI, validated API endpoints, and normalized relational data models

Software Engineer Intern

New York, NY

June 2025 - Present

•Enhancing REST APIs to integrate with external applications, eliminating 40% of post data-ingestion field updates, reducing significant manual work and ensuring seamless and accurate data access across the entire CRM platform
•Developing an Outlook automation support tool utilizing Power Automate and a custom text classification model that automates classification and triage of Outlook support emails, reducing manual ticket handling by 65%

Quantum Machine Learning Engineer

College Park, MD

Jan 2025 - May 2025

•Developed hybrid quantum-classical machine learning algorithms for image classification by leveraging IonQ’s Aria and ForteQPUs to compare the efficiency of classical and quantum models on the MNIST dataset
•Optimized feature reduction techniques for quantum machine learning, enabling improved performance of quantum support vector machines and generative adversarial networks on resource-limited quantum processors

Software Engineer Intern

College Park, MD

June 2024 - May 2025

•Designed and implemented a Python/Dash synthetic-data generator to aid in streamlining the data generation and testing process, reducing manual test-data prep time by 30%
•Authored detailed system and API documentation for global engineering teams of an open-source tool to enable global agencies to address traceability concerns, achieving a reduction in manual labor across 10+ international organizations
•Presented a poster to 200+ people at the FDA Foods Program Regulatory Science Conference to highlight the current effort and innovative approach in enhancing global traceability efforts through open-source collaboration

Software Engineer

College Park, MD

Sep 2024 - Dec 2024

•Led a 10-member team of engineers in developing a fullstack React Native mobile application to provide essential services to veterans, including care facilities, mental health services, and veteran messaging helping achieve $5 million in investments
•Built an AI-powered resume reviewer that analyzes uploaded resumes using Google Gemini, provides tailored suggestions, and recommends roles based on user profiles, integrated with a web scraper for real-time job postings
•Integrated WebSockets and Geolocation to provide real-time location, user messaging, and enabling dynamic service provider mapping and appointment scheduling via RESTful APIs

Projects

🌍

EcoNavix

AI-driven platform that optimizes supply chain routes using real-time environmental and traffic data, reducing carbon emissions by up to 35% while improving logistical efficiency.

Python

Flask

React.js

🔢

FULL STACK

Digits 2.0

An AI-enhanced numerical puzzle game where players strategically combine numbers via arithmetic to reach a target value, featuring an interactive tile interface, dynamic scoring, and Gemini-powered hints.

React.js

Node.js

Tailwind CSS

TypeScript

Gemini

💡

SmartCards.AI

AI-powered flashcard platform that dynamically generates study content based on user input, with support for real-time user analytics, authentication, and subscription access

Next.js

OpenAI

Firebase

Clerk.js

Stripe

💰

FULL STACK

MyMoneyTracker

Full-stack financial tracker for managing personal transactions with CRUD operations and optimized backend performance for smooth data handling and retrieval

React.js

Express

MongoDB

Node.js

🤖

FULL STACK

MyPA

Voice-activated personal assistant with 10+ interactive features including text-to-speech and web scraping, designed to boost user productivity and simplify task execution

Python