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Bhanudas Rane

Experienced backend developer with 3+ years of expertise in Java, Spring, Spring Boot, Stencil JS, Hibernate, Docker, Kubernetes, MySQL, AWS, and Microsoft Azure, and familiarity with Python and Machine Learning. Proven track record in designing and implementing scalable and efficient backend solutions. Strong problem-solving skills and ability to adapt quickly to new technologies.
  • Role

    Software Developer II & ExtJS Engineer

  • Years of Experience

    3.5 years

Skillsets

  • Stencil.js
  • ReactJs
  • Eclipse
  • Visual studio Code
  • Spring MVC
  • Spring Boot
  • Spring AOP
  • Postman
  • OpenCV
  • MySQL
  • MVC
  • Machine Learning
  • Jupyter Notebook
  • Hibernate
  • Azure
  • jQuery
  • Java
  • JavaScript
  • jQuery
  • TypeScript
  • Spring
  • Kubernetes
  • KendoUI
  • Git
  • Docker
  • AWS
  • Stencil.js
  • Java
  • JavaScript

Professional Summary

3.5Years
  • Jun, 2022 - Present3 yr 6 months

    Software Developer II

    MRI Software

Work History

3.5Years

Software Developer II

MRI Software
Jun, 2022 - Present3 yr 6 months
    Leading front-end modernization by transitioning from ExtJS to StencilJS with KendoUI, delivering a high-performance and maintainable architecture aligned with enterprise UI standards. Developing Python-based automation for WebSwing canvas capture, enhancing Selenium accuracy and enabling visual regression testing to strengthen quality assurance. Optimizing API performance through structured JSON-to-POJO transformation via Jackson, improving data integrity and minimizing deserialization errors. Driving containerization and build optimization by implementing Docker (Linux & Windows images) and migrating from ANT to Maven, accelerating deployments and streamlining CI/CD pipelines. Fortifying application security by implementing advanced front-end security headers, mitigating clickjacking and MIME-type threats in legacy JavaScript environments. Collaborating cross-functionally with product and UX teams to refine features, while resolving client issues to ensure system stability, scalability, and user satisfaction. Highlights: Led a large-scale front-end migration from legacy frameworks to modern technologies, achieving a 60% boost in UI performance and maintainability, and elevating overall user satisfaction metrics. Engineered an advanced Python-based automation solution that improved test accuracy by 30% enabled end-to-end visual regression testing, and minimized manual validation efforts. Enhanced API robustness by implementing strongly typed POJOs with Jackson, driving a 75% reduction in parsing errors and optimizing data integrity and backend throughput. Modernized legacy Java Swing interfaces, introducing contemporary UI/UX principles that increased user engagement by 90% and earned positive client commendations for usability improvements. Streamlined build and deployment pipelines by migrating to Maven-based architecture, resulting in a 40% reduction in build complexities and a measurable increase in developer productivity.

Major Projects

2Projects

Sticker Shop E-Commerce Application Demo Projects

Jun, 2025 - Sep, 2025 3 months
    Developed a full-stack e-commerce platform using Spring Boot and React.js with JWT authentication and role-based access control. Designed a responsive UI with TailwindCSS, featuring Dark/Light mode and protected routes for enhanced user experience. Integrated Stripe Payment Gateway to enable secure online transactions. Built an Admin Dashboard for real-time order management and operational tracking. Optimized backend performance through Spring Caching and efficient database queries. Deployed on AWS (EC2, RDS, S3, CloudFront) to ensure scalability, reliability, and high availability.

Vehicle Info Fetcher using ALPR

May, 2024 - Jun, 2024 1 month
    Developed a machine learning-based web application to automate RTO vehicle information retrieval through API integration. Implemented Automatic License Plate Recognition (ALPR) using OpenCV & EasyOCR, improving detection accuracy & processing efficiency. Built a ReactJS frontend integrated with Django REST APIs for ML inference and seamless data communication. Optimized image preprocessing pipelines to enhance recognition precision and reduce response time.

Education

  • Bachelor of Engineering (B.E.) Information Technology

    KBT College of Engineering (2022)