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Hi, I’m Geet Prashant Bhute. I am a software engineer with a strong foundation in building scalable backend services and ML-powered interfaces. I’m currently pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin after completing a B.Tech in Computer Science in India, and I enjoy turning complex requirements into robust, maintainable software through clean architecture, testing, and automation. During internships, I built Java/Spring Boot backends and Flask REST APIs, containerized apps with Docker and Kubernetes, and implemented CI/CD pipelines that cut release times and improved system reliability. I’m excited to apply my skills to real-world problems in backend and full-stack development.…Hi, I’m Geet Prashant Bhute. I am a software engineer with a strong foundation in building scalable backend services and ML-powered interfaces. I’m currently pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin after completing a B.Tech in Computer Science in India, and I enjoy turning complex requirements into robust, maintainable software through clean architecture, testing, and automation. During internships, I built Java/Spring Boot backends and Flask REST APIs, containerized apps with Docker and Kubernetes, and implemented CI/CD pipelines that cut release times and improved system reliability. I’m excited to apply my skills to real-world problems in backend and full-stack development.

Geet Prashant Bhute

Web Developer, Full Stack Developer, Back-End Developer, +5

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Hi, I’m Geet Prashant Bhute. I am a software engineer with a strong foundation in building scalable backend services and ML-powered interfaces. I’m currently pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin after completing a B.Tech in Computer Science in India, and I enjoy turning complex requirements into robust, maintainable software through clean architecture, testing, and automation. During internships, I built Java/Spring Boot backends and Flask REST APIs, containerized apps with Docker and Kubernetes, and implemented CI/CD pipelines that cut release times and improved system reliability. I’m excited to apply my skills to real-world problems in backend and full-stack development.…Hi, I’m Geet Prashant Bhute. I am a software engineer with a strong foundation in building scalable backend services and ML-powered interfaces. I’m currently pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin after completing a B.Tech in Computer Science in India, and I enjoy turning complex requirements into robust, maintainable software through clean architecture, testing, and automation. During internships, I built Java/Spring Boot backends and Flask REST APIs, containerized apps with Docker and Kubernetes, and implemented CI/CD pipelines that cut release times and improved system reliability. I’m excited to apply my skills to real-world problems in backend and full-stack development.

Available to hire

Hi, I’m Geet Prashant Bhute. I am a software engineer with a strong foundation in building scalable backend services and ML-powered interfaces. I’m currently pursuing an MSc in Computer Science (Negotiated Learning) at University College Dublin after completing a B.Tech in Computer Science in India, and I enjoy turning complex requirements into robust, maintainable software through clean architecture, testing, and automation.

During internships, I built Java/Spring Boot backends and Flask REST APIs, containerized apps with Docker and Kubernetes, and implemented CI/CD pipelines that cut release times and improved system reliability. I’m excited to apply my skills to real-world problems in backend and full-stack development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Fluent

Amharic

Intermediate

Work Experience

Software Intern at Shri Ramdeobaba College of Engineering and Management

May 1, 2025 - May 1, 2025

Designed and deployed a real-time citrus image classification pipeline (TensorFlow CNN) with secure API endpoints; implemented structured logging and TensorBoard monitoring; reduced inference time by 40% via preprocessing optimization; containerized the workflow with Docker; automated deployment with GitHub Actions; enhanced data reliability through augmentation, improving model generalization by 18%.

Web Development Intern at Tajshree Autowheels Pvt. Ltd.

December 1, 2023 - December 1, 2023

Fortified backend using Spring Boot with JWT authentication and Spring Security; performed structured log analysis and failure-mode testing, resolving defects and improving prototype stability; improved system reliability for 5,000+ users; orchestrated GitHub Actions workflows to reduce deployment times by 60% and saving approximately 8 hours per deployment; authored Swagger/OpenAPI documentation for 75+ endpoints to reduce API-related errors and aid developers.

Software Engineer Intern at Tajshree Autowheels Pvt. Ltd.

May 1, 2025 - August 1, 2025

Built end-to-end booking and payment backend using Java/Spring Boot REST APIs with authentication and refund logic; processed 100+ transactions in staging with zero critical failures. Debugged and resolved 12 reproducible defects across frontend-facing API endpoints using structured logging and root-cause analysis, reducing recurring errors by 30%. Automated CI/CD with GitHub Actions and Docker, cutting release cycles from 2 days to under 4 hours and eliminating 50% of manual deployment steps.

Software Engineer Intern at Shri Ramdeobaba College of Engineering and Management

December 1, 2024 - May 1, 2025

Developed Flask REST APIs serving a real-time ML inference web interface; achieved sub-second response times and 35% latency improvement through optimized preprocessing. Containerized the backend with Docker and automated CI/CD via GitHub Actions, reducing environment setup time by 40% across development and staging. Implemented centralized logging and monitoring that identified 3 critical API bottlenecks, improving uptime during continuous load testing.