vCard - Personal Portfolio

About me

I’m a Computer Science student at NJIT with a strong foundation in software engineering, web development, and applied machine learning. My focus is building scalable, user-friendly applications that solve real-world problems.

Some of my recent projects include EcoNav, a route optimizer that integrates real-time fuel prices, vehicle MPG, and traffic data to help drivers reduce travel costs; Cali, a community app that maps outdoor calisthenics gyms; and an offline hiking safety tracker designed to improve personal safety on the trails. These projects showcase my ability to work across the full stack. Anywhere from backend data pipelines and API integrations to frontend design and interactive user experiences.

I’m proficient in Python, JavaScript, React, C++, and SQL, with additional experience in TensorFlow, scikit-learn, and data analysis. My goal is to bring together engineering rigor and creativity to contribute to impactful software in roles such as Software Engineering, Machine Learning/AI Engineering, or Web Development.

What i'm doing

Full-Stack Development

Building scalable web applications with modern stacks, combining backend APIs, databases, and frontend interfaces that prioritize performance and usability.
Machine Learning & AI

Designing and deploying ML models with TensorFlow, scikit-learn, and Python, applying them to real-world problems like prediction, optimization, and user personalization.
Frontend Engineering

Creating responsive, user-friendly UIs with React, JavaScript, and CSS. Focusing on clean design, accessibility, and seamless user experience.
Backend Engineering

Developing robust server-side applications with Node.js, Flask, and database integrations, ensuring efficient data handling and API-driven architectures.

Technologies I Work With

Frontend
- HTML5
- CSS3
- JavaScript (ES6+)
- TypeScript (.ts/.tsx)
- React
- Tailwind CSS
Backend
- Node.js & Express.js
- Flask (Python)
- Python
- Java
- C++ / C
- C#
Databases
- MongoDB
- SQL (MySQL / PostgreSQL)
Machine Learning & AI
- TensorFlow
- scikit-learn
- NumPy
- Pandas
- Matplotlib
Developer Tools
- Git & GitHub
- Linux / Unix
- Bash
- Docker
APIs & Cloud
- Google Maps Platform
- Firebase
- OpenStreetMap
- REST APIs

Featured Projects

EcoNav
Completed
Cali
In Development
TrailSafe
Coming Soon

Résumé

📄 View / Download Full Résumé

Education

New Jersey Institute of Technology — B.S. Computer Science
Sept 2022 — May 2026 • Newark, NJ
Cumulative GPA: 3.50/4.0. Dean’s List: Fall 2022, Fall 2023, Spring 2024, Spring 2025.
Relevant Coursework
• Data & ML: Data Science, Machine Learning, AI-Driven Text Analytics
• Systems: Operating Systems, Computer Networks, Performance Modeling, Linux Programming, Cybersecurity Concepts
• Software: Software Engineering Design, Database Systems, Advanced Data Structures & Algorithms
• UX & Ethics: Designing the User Experience, Web Mining, Computers & Society

Experience

Full Stack Web Developer — MMRagdolls.com
Aug 2023 — Present • Kearny, NJ
• Rebuilt and deployed a scalable site from scratch using JavaScript, React, and Node.js, transitioning from Squarespace to a fully custom-coded platform.
• Engineered and manage a reservation waitlist system guaranteeing each litter is reserved in advance, reducing marketing costs by 60%.
• Integrated application forms with a cloud-hosted database, streamlining applicant tracking and automating business operations.
• Built a dynamic filtering system (color, pattern, gender) and optimized for responsive, mobile-first performance, boosting SEO rankings, organic traffic, and engagement.

Selected Projects

EcoNav — Gas Cost Route Optimizer
Jun. — Aug. 2025
Designed, developed, and deployed a full-stack app (React, Node.js, Express) that calculates trip gas costs using real-time traffic data, fuel/toll prices, and vehicle-specific MPG, integrating Google Maps & EIA APIs into a scalable system. Implemented advanced route optimization (fastest, shortest, fuel-efficient, cheapest, tolls on/off) with interactive Leaflet map visualizations.
Cali — Calisthenics Gym Finder
Jul. 2025 — Present
Developed and deployed a community-centered full-stack web app (React, Firebase, Node.js, Express/REST APIs) for locating and reviewing outdoor calisthenics gyms, featuring real-time geolocation with Mapbox polylines and user-submitted gym data. Implemented secure Firebase authentication and engineered REST APIs for submissions/reviews, with interactive Mapbox visualization tools to improve usability.
TrailSafe — Hiking Safety Companion
Aug. 2025 — Present
Engineered a safety-focused hiking application (React, Node.js, Firebase, Mapbox, REST APIs, TensorFlow Lite) with an intelligent SOS feature that performs real-time movement monitoring and anomaly detection, automatically escalating alerts to emergency contacts or authorities if the user is unresponsive. Designed and deployed secure cloud-based backend services to manage authentication, profiles, and automated emergency alert workflows.
Data Analysis & Prediction App
Nov. 2024
Built an interactive ML web app with Streamlit that enables dataset uploads, visualization, feature selection, and live regression model predictions through an intuitive UI, integrating a full ML pipeline (Python, scikit-learn, Pandas).

Technical Skills

Languages — Python, JavaScript (ES6+), Java, C++, C, SQL, HTML/CSS, Bash
Advanced
Frameworks & Libraries — React, Node.js, Express, Streamlit, Bootstrap, TensorFlow, scikit-learn, Pandas, NumPy, Matplotlib, Gradio
Proficient
Databases — MySQL, MongoDB
Proficient
Tools & Platforms — Git/GitHub, Docker, AWS, Firebase, Vercel, Render, Google Maps API, Leaflet, Mapbox
Proficient