Hi, I'm

Jeel Patel

Software Engineer | Full Stack Developer Machine Learning Engineer

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About Me

I am a dedicated software engineer with a deep passion for software development and machine learning. Throughout my career, I have honed my skills in designing and developing scalable, high-performance software solutions that not only meet complex business requirements but also enhance the overall user experience. I excel at crafting intuitive, user-centric interfaces and developing robust applications that leverage the latest technologies and data-driven insights.

My professional journey is defined by a commitment to continuous learning and a drive to push the boundaries of what is possible. I thrive on tackling challenging problems and turning innovative ideas into reality, all while maintaining a focus on quality and precision. Whether collaborating with cross-functional teams or working independently, I strive to deliver solutions that are both reliable and forward-thinking.

Me + CoPilot Logo CoPilot + Claude Logo Claude + V0 Logo V0 + ChatGPT Logo ChatGPT + Gemini Logo Gemini + Cursor Logo Cursor + Ollama Logo Ollama + Codeium Logo Codeium + Deepseek Logo Deepseek
= 10x Developer Test Driven Vibe Coding

My Journey

Software Engineer

QIQMSB Inc | Sep 2024 - Present

Restaurant Point-of-Sale System Project
  • Led the development of an offline-first POS system with local device synchronization and transactional buffering for 5+ POS terminals—ensuring uninterrupted operations during internet outages for restaurants.
  • Collaborated with UI/UX designers to translate business requirements into production software, developing front-end components, REST APIs, and database integrations from design prototypes.
  • Engineered a full-featured React Native POS application with custom Kotlin and Java modules for seamless thermal-printer integration and peripheral connectivity over IP, USB, and serial interfaces—reducing hardware setup time errors by 20%.
  • Conducted rigorous edge-case and integration testing across diverse hardware (thermal printers, PIN Pad, pole display), connection types, and features to ensure reliability in production.
  • Designed and integrated a custom payment module using a payment provider PIN Pad API to securely process 500+ daily card transactions per device.
  • Optimized React Native app performance using profiling tools, eliminating unnecessary re-renders and memory leaks.
  • Implemented comprehensive restaurant management features including menu configuration, reporting, discounts, and inventory tracking—reducing order-reconciliation time by 25%.
Retail POS Admin Portal Project
  • Overhauled customer-facing admin portal for retail POS system serving 200+ daily users—reducing report generation time by 40% through automated data aggregation and streamlined UX.
  • Built modular analytics dashboard using ASP.NET C#, SQL and Tailwind CSS, enabling customizable sales and inventory reports and reducing data analysis time by 35%.
Internal Management Portal Project
  • Revamped internal management portal using ASP.NET C#, Tailwind CSS, and SQL, improving task completion efficiency by 40% through streamlined workflows and UI optimization.
  • Automated 8+ weekly management reports, reducing manual reporting time by 30% and minimizing data entry errors.
  • Implemented integrated management platform with subcontractor tracking, ticket management, inventory control, and document storage—consolidating 4 separate tools into a unified system.

Web Developer Intern

Orbanni LLC | May 2024 - Sep 2024

  • Revamped Shopify storefront with interactive UI elements and security enhancements, boosting user engagement by 8% and reducing page load times by 15%.
  • Built scalable blog platform with React.js, Tailwind CSS, and Firebase, supporting 50+ weekly posts and reducing content deployment time by 60%.
  • Automated SMS marketing campaigns using Twilio API and Python, increasing marketing engagement by 30% and eliminating 10+ hours of manual work per month.

Student Software Developer

ARCS CSUN (University Research Center) | Jun 2023 - Jan 2024

  • Developed React Native mobile app for athletes using Agile methodology, integrating Firebase Authentication and Firestore database with optimized schema design.
  • Implemented real-time data synchronization with Firebase, improving sync speed by 10% and ensuring reliable performance through comprehensive error handling.
  • Built responsive UI components and optimized state management using Redux and LocalStorage, reducing data load times by 25% and eliminating UI lag.
Smart Textiles (The Project I Worked On)

Master's Degree, Computer Software Engineering

California State University - Northridge | Jan 2022 - May 2024

  • Grade: 3.9/4 DISTINCTION
  • Activities and societies: ACM, GameDev
  • Joined CSUN's Masters program in Software Engineering to deepen knowledge in fields like Software Engineering Management, Requirements, Verification, Machine Learning, Data Mining, and Advanced Web Engineering & Research.
  • The program exposed me to various aspects of software engineering, including project management, software testing, machine learning, and web engineering, which were enriching and helpful for my career.
My Master's Thesis "Investigating the potential of machine learning based algorithms to assist in software development tasks"

Bachelor's Degree, Information Technology

Silver Oak College | Jun 2017 - May 2021

  • Grade: 3.4/4
  • Activities and societies: App/Web Development, Algorithm Analysis and Development
  • Studied at Silver Oak College of Engineering and Technology (SOCET) for my Bachelor's degree in Information Technology, covering subjects like Analysis and Design of Algorithms, Data Structures, Database Design, Operating System, and Software Development Lifecycle.
  • Had a wonderful experience at SOCET, cherishing the memories of my time there and thoroughly enjoying the courses and academic environment.

Featured Projects

Project 1 Screenshot

Name Generator

Tech Categories: Deep Learning, Machine Learning, Data Mining

The Name Generator project empowers users to generate culturally relevant and unique names based on a specified starting alphabet or desired cultural background. Leveraging a Deep Learning LSTM model built with PyTorch and NumPy, the application ensures accurate and meaningful name suggestions tailored to user preferences. The underlying data was sourced through efficient web scraping techniques using BeautifulSoup and AsyncIO, compiling a diverse dataset of names from various ethnicities and cultures. The user-friendly interface, developed with the Flask Python framework, allows seamless interaction, while cloud deployment on an AWS EC2 instance ensures scalability and round-the-clock accessibility for users worldwide.

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Project 2 Screenshot

Triage (My Scheduler)

Tech Categories: Progressive Web App, React.js, Material UI

The Triage project provides users with an intuitive and efficient task management solution based on the Eisenhower Matrix, enabling seamless prioritization of tasks by urgency and importance. Featuring a user-friendly drag-and-drop interface, the application is designed to boost productivity and streamline decision-making. Built using React.js and Redux, with Firebase as the backend, Triage ensures a robust and scalable experience for users. As a Progressive Web App (PWA), it delivers a native app-like feel across all devices, complete with offline functionality, offering accessibility and reliability for task management anytime, anywhere.

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Project 3 Screenshot

Real-time Chat App

Technologies: React.js, MongoDB, Express.js, Node.js Socket.io, Jest

The Real-time Chat App is a dynamic and user-centric platform designed to facilitate seamless multilingual communication in real time. Built with a powerful tech stack including React.js, Socket.io, Node.js, Express.js, and MongoDB, the application supports features such as group chats and location sharing to foster engaging and interactive user experiences. A standout functionality is its on-the-go message translation, powered by the LibreTranslate API, enabling users to communicate effortlessly across language barriers. Collaborative development ensured the integration of innovative features, while robust unit testing with Jest guaranteed the app's reliability and performance.

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Project 3 Screenshot

CoolPress (Blogging Platform)

Technologies: React.js, Firebase, JavaScript, TypeScript, TailWindCSS

Cool Press is a dynamic and responsive blogging platform designed to empower users to create and share content seamlessly. Built with React.js and Firebase, the platform ensures a smooth and reliable experience for bloggers. The interface, crafted using TailwindCSS, supports both light and dark themes and is optimized for phone and desktop screens. Users can write and format posts effortlessly using rich Markdown syntax, enhancing their creative expression. Additionally, the platform incorporates SEO best practices and Google Analytics integration, enabling bloggers to maximize visibility and track engagement effectively.

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Project 3 Screenshot

Smart Clothing App

Technologies: React Native, Firebase, Redux

The Smart Clothing App, developed as part of the Boracle Project, provides athletes with a unified platform to access and analyze data from various smart wearable devices, including smartwatches, bands, and rings. Built using React Native, the app integrates Firebase authentication and Firestore database services to ensure secure and efficient data management. Key contributions included developing user interface components, implementing state management with Redux and LocalStorage, and designing a robust database schema. With a focus on error handling and validation, the application offers a seamless and reliable experience for athletes aiming to track and optimize their performance.

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Resume

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