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parthjpatel99/README.md

👋 Hi, I'm Parth Janakbhai Patel

Software Engineer

📍 Based in Tucson, AZ
📫 parth8199@gmail.com | 🔗 LinkedIn | GitHub


💼 About Me

I'm a backend-focused software engineer passionate about building scalable microservices, geospatial systems, and automation pipelines. Currently, I work at Komatsu leading modern backend solutions that support autonomous mining trucks and mission-critical systems.

My experience spans cloud-native development, distributed systems, geospatial platforms, and full-stack product features shipped at scale. I’m also a strong believer in clean architecture, CI/CD, leveraging AI for rapid outcomes while writing testable, maintainable code.


🚀 Tech Stack

Languages: Kotlin, Java, Python, C#, TypeScript, C++, SQL, Bash
Frameworks & Backend: Spring Boot, Spring Security, Hibernate, Node.js, REST APIs, Microservices, Nginx
Cloud & DevOps: Docker, Azure, GCP, GitHub Actions, CI/CD Pipelines, Maven, Gradle
Database & GIS: PostgreSQL, PostGIS, GeoServer, Database Optimization
Auth & Security: OAuth2, SAML2, JWT, Keycloak
Testing: JUnit, Mockito, Performance & Automated Testing


🛠️ Experience

🏢 KomatsuSoftware Engineer

📍 Tucson, AZ | 🗓️ Feb 2023 – Present

  • Developed Kotlin-based Spring Boot microservices to support 500+ autonomous trucks
  • Built secure OAuth2/Keycloak integration for external systems
  • Optimized PostGIS and GeoServer stack for real-time mapping performance
  • Automated deployments using Docker and custom Bash CLI tools
  • Refactored legacy C#/.NET adapter for 40% faster data processing
  • Revived and stabilized dormant API project using Azure CI/CD pipelines

📝 EvernoteSoftware Engineer Intern

📍 Remote | 🗓️ Jun 2022 – Aug 2022

  • Implemented recurring task logic using TypeScript, React, GraphQL
  • Built reusable task-filtering component across platforms
  • Improved performance and UX in native iOS date pickers

🛰️ ISRO – Space Applications CenterResearch Intern

📍 Ahmedabad, India | 🗓️ Dec 2020 – Apr 2021

  • Built deep learning models for oceanic eddy detection from satellite data
  • Achieved 92% detection and 98% classification accuracy using Mask R-CNN & YOLO
  • Designed OpenCV-based preprocessing pipelines to analyze remote sensing imagery

🎓 Education

Stony Brook University
Master of Science in Computer Engineering
📍 Stony Brook, NY | 🎓 Dec 2022


📜 Certifications

  • CodePath – Professional Android Development (2022)

📈 GitHub Stats

Parth's GitHub Stats

Top Langs


📫 Let's Connect

I'm always open to connecting with fellow developers, researchers, and builders.
Feel free to reach out via LinkedIn or drop me a line at parth8199@gmail.com.


Pinned Loading

  1. embabel/embabel-common embabel/embabel-common Public

    Embabel Common Module(s)

    Kotlin 16 17

  2. Group-17-CodePathRemoteAndroidSpring-22/EmployeeBonding Group-17-CodePathRemoteAndroidSpring-22/EmployeeBonding Public

    Kotlin

  3. Flixter Flixter Public

    Flix is an app that allows users to browse movies from the The Movie Database API

    Kotlin 1

  4. InstaPram InstaPram Public

    Instagram Clone (playing with Material 2.0 UI)

    Kotlin

  5. Visualizing-ANY-scraped_csv_data-in-dockerized-ELKStack Visualizing-ANY-scraped_csv_data-in-dockerized-ELKStack Public

    Shell

  6. customer-support-ticketing-system customer-support-ticketing-system Public

    JavaScript