V

Vipul Gupta

Software Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience
Highly StableAI Enabled

Key Highlights

  • Developed a Generative AI tool reducing developer effort by 85%.
  • Achieved 90% code coverage in software reliability.
  • Implemented a machine learning application saving 165 man-days annually.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI/ML and scalable backend systems.

Contact

Skills

Core Skills

JavaAngularGenerative AiMachine Learning

Other Skills

AlgorithmsCC++Cascading Style Sheets (CSS)Code ReviewData AnalysisData ScienceData StructuresData Structures and AlgorithmsFront-End DevelopmentHTMLJasmineJavaScriptKubernetesLeadership

About

My passion lies in building intelligent systems that redefine efficiency, and as a Software Engineer, I've consistently delivered transformative solutions. Currently, as a Senior Software Developer at SAP Labs, I focus on building robust and scalable backend applications in Java and Spring. Prior to this, I spent three impactful years as a Software Development Engineer at Amadeus Labs, where I specialized in developing scalable web applications and integrating AI/ML-driven solutions. My expertise spans Java, JavaScript, Angular, and Spring Boot, enabling me to tackle complex challenges across the full software development lifecycle, from design to deployment. I thrive on building innovative solutions that deliver measurable impact. A prime example is the independently developed Generative AI tool that dramatically reduced developer effort by 85%. It assisted the developers to write component tests quickly using Artificial Intelligence and LLMs. Beyond the Generative AI tool, I developed a Java and Python-based Machine Learning application for test case classification that achieved 80% accuracy, reducing manual QA effort by 165 man-days per year. I was also involved in the design and development of over 30 high impact features for Amadeus' flagship travel booking web application, enhancing user experience, and consistently achieved 90% code coverage to ensure software reliability. I am eager to apply my expertise in scalable systems and AI/ML to solve complex challenges at a leading tech organization, contributing to products that shape the future. Specialties: Java | Python | JavaScript | Angular | Spring Boot | Generative AI | Machine Learning | Microservices | CI/CD | REST APIs | Data Structures & Algorithms | Object-Oriented Programming | Agile Methodologies I'm always open to connecting with fellow innovators and exploring opportunities to build the next generation of impactful software. Feel free to connect with me here on LinkedIn.

Experience

Sap

Developer

Oct 2024Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Amadeus labs

2 roles

Software Development Engineer

Aug 2021Oct 2024 · 3 yrs 2 mos · Bengaluru, Karnataka, India

  • Developed 20+ features for Amadeus' Selling Connect web app using Java and Angular. These features directly contributed to over 5 million bookings on the platform.
  • Developed unit and component tests using Jest, Playwright and TDD to achieve 90% code coverage and ensure software reliability and minimizing defects in production environment.
  • Developed a key project in Amadeus Internal Hackathon to use Gen AI for structuring the unstructured data received via APIs, which was well appreciated by the management and considered for deployment.
  • Single-handedly developed a tool using JavaScript that utilizes Generative AI to automate the generation of component tests, reducing developers effort by 85%. Awarded as the most innovative project in dept.
  • Building efficient solutions by collaborating globally with both technical and business associates and come up with smart solutions meeting requirements.
JavaAngularSoftware DevelopmentData StructuresJavaScriptUnit Testing+3

Software Development Engineer Intern

Jan 2021May 2021 · 4 mos · Bengaluru, Karnataka, India

  • Developed a Java and Python-based automation tool to aid the QA team in classifying test cases failures.
  • Implemented machine learning models and static rules using DROOLS for efficient error classification.
  • Achieved an 80% accuracy rate in correctly identifying the causes of test failures, reducing 165 man-days of manual effort.

Optum

Software Engineer

Jun 2020Aug 2020 · 2 mos · Hyderabad, Telangana, India

  • Industrial Training On Java and MySQL

Education

Thapar Institute of Engineering & Technology

Bachelor of Technology — Computer Science

Jan 2017Jan 2021

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