Hi, I'm

Jeel Patel

Software Engineer | Full Stack & Distributed Systems Applied ML & AI Systems

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About Me

I am a software engineer focused on building scalable systems that operate reliably in real-world environments. My work spans full-stack development, distributed application design, mobile platforms, and applied machine learning. I specialize in translating complex requirements into clean, maintainable architectures that balance performance, usability, and long-term scalability. In production environments, I have designed offline-capable systems, integrated hardware peripherals and payment workflows, optimized application performance, and developed data processing pipelines to streamline operations. I enjoy working at the intersection of systems design and practical execution—where thoughtful architecture meets measurable impact.

Beyond application development, I actively explore machine learning and AI-driven workflows, building intelligent tools that simplify analysis and automate decision-making. I approach every project with an engineering mindset: define constraints clearly, design with intention, implement rigorously, and optimize continuously. I’m motivated by solving meaningful technical problems and building software that is reliable, efficient, and built to last.

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 architecture and development of an offline-first distributed POS system supporting 5+ terminals, implementing local-first data persistence, eventual consistency, and cloud reconciliation to ensure conflict-tolerant synchronization to maintain data integrity during network partitions.
  • Designed scalable, modular system architecture integrating React Native front-end, local SQLite storage, Redux state management, cloud sync services, and multi-protocol hardware connectivity (USB, Serial, IP) for thermal printers, PIN pads, pole displays, rear displays, and cash drawers.
  • Engineered native Kotlin and Java modules to enable low-level peripheral communication, reducing hardware configuration errors by 20% and improving device reliability across heterogeneous restaurant environments.
  • Implemented secure payment processing via DataCap DC Direct API certification, integrating EMV-compliant PIN pad workflows to process 500+ daily transactions per device with PCI-aligned security practices.
  • Built comprehensive restaurant management modules including menu hierarchies, modifiers/condiments, table management, reservations, kitchen ticket routing, receipt generation, reporting, and discount / promo workflows—reducing order reconciliation time by 25%.
  • Designed local database schema and state management strategy optimizing transactional integrity, write performance, and memory footprint for high-throughput restaurant environments.
  • Optimized runtime performance through profiling and memory leak analysis, improved system stability under high-throughput transactional workloads.
  • Developed automated data migration pipelines to convert legacy POS schemas into the new platform, accelerating merchant onboarding.
  • Evaluated and prototyped multiple technology stacks and open-source components to validate architectural decisions, balancing performance, maintainability, and long-term scalability.
Retail POS Project
  • Overhauled customer-facing Admin Portal for retail POS system serving 200+ daily active users—reducing report generation time by 40% through automated data aggregation and streamlined UX.
  • Built modular analytics dashboard for Admin Portal using ASP.NET C#, SQL, and Tailwind CSS, enabling near real-time aggregation of sales and inventory data, reducing analysis time by 35% and supporting data-driven inventory optimization at scale.
  • Designed reporting components and optimized SQL query patterns to improve performance and support scaling of analytics workloads.
  • Implemented government-mandated KYC compliance fields in the POS cashier application, including persistent default customer data, streamlining cashier workflows and reducing manual data entry during transactions.
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.
  • Built backend data pipelines to automate generation of 8+ recurring reports, reducing manual effort by 30% and improving reporting reliability.
  • Designed and implemented a centralized internal platform consolidating subcontractor tracking, ticketing, inventory control, and document storage, reducing system fragmentation and improving operational scalability across teams.

Web Developer Intern

Orbanni LLC | May 2024 - Sep 2024

  • Redesigned and optimized Shopify storefront with interactive UI components and security hardening measures, increasing user engagement by 8% and reducing page load time by 15%.
  • Engineered a scalable content platform using React.js, Firebase, and Tailwind CSS, supporting 50+ weekly posts with optimized data fetching and efficient client-side rendering.
  • Designed and implemented an end-to-end SMS marketing automation pipeline using Python and Twilio API, extracting and normalizing customer contact data from Google Contacts, validating records, and enabling bulk SMS campaigns that increased engagement by 30% while eliminating 10+ hours of manual effort every 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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