T

Tanmay Garg

Full Stack Engineer

Patiala, Punjab, India0 mo experience

Key Highlights

  • Achieved 42% performance boost in API architecture.
  • Developed cross-platform app integrating 100+ travel APIs.
  • Designed innovative skin cancer detection system.
Stackforce AI infers this person is a Fullstack Software Engineer with expertise in SaaS and Healthcare technologies.

Contact

Skills

Core Skills

JavaAngularjsCloud ComputingPython

Other Skills

Adobe XDAlgorithmsAmazon Web Services (AWS)Android DevelopmentAngularArduinoArtificial Neural NetworksAssembly LanguageC++CNNContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Customer RetentionCybersecurityData Structures

About

Software Engineer with experience in building full-stack, scalable, and maintainable systems across web and cloud platforms. Skilled in Java, Spring Boot, Angular, Python, and modern development practices. I enjoy working in agile teams, solving complex problems, and designing clean, performant architectures. Passionate about continuous learning, developer experience, and delivering user-focused solutions.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Amadeus

2 roles

Software Development Engineer - 1

Jul 2023Present · 2 yrs 11 mos

  • As an SDE-1, I overhauled the pricing API architecture by transitioning from server-side (Java) to client-side, achieving a 42% performance boost and introducing a new endpoint to reduce server load while enhancing user experience. I developed a cross-platform application using Java in Android Studio, integrating 100+ Amadeus travel RESTful APIs, and implemented JUnit testing with comprehensive test cases to ensure robust functionality and reliability.
  • I engineered a cost-saving feature that allowed customers to redeem accrued credit points for bookings, saving up to 100% on travel costs, and integrated a critical web service to support this functionality. Additionally, I enabled pre-booking credit card fee computation, providing end users with precise final pricing for bookings, including VISA and major card types, improving cost transparency and decision-making.
  • Currently, I am leading an internship project to design and implement personalized travel recommendations using past travel history, leveraging emerging technologies such as Microsoft Azure services, RAG, and advanced LLM models (ongoing). My work focuses on delivering innovative, scalable, and user-centric solutions that drive efficiency and enhance user experiences.
JavaJavaScriptProject ManagementTeamworkTime ManagementAlgorithms+4

Software Intern

Feb 2023Jul 2023 · 5 mos

  • As an SDE Intern at Amadeus Software Labs, I built a 4-page web app using Angular and NgRx, replacing an outdated system to enhance functionality, responsiveness, and user engagement. I improved stability by implementing testing frameworks like Karma and Jest, ensuring robust and reliable performance.
  • I optimized backend logic to streamline data retrieval, reducing load time from 4 seconds to 1.6 seconds (60% faster) through a complete architecture revamp, significantly improving user experience. Collaborating across 5 different teams, I streamlined build processes and ensured on-time project delivery, contributing to successful pilot launches across global markets and driving a 17% increase in active users.
  • This experience allowed me to develop strong technical and collaborative skills while delivering impactful solutions that enhance system performance and user satisfaction.
JavaJavaScriptProject ManagementTeamworkTime ManagementAlgorithms+5

Thapar institute of engineering & technology

Student Researcher

Jul 2022Sep 2022 · 2 mos · Patiala, Punjab, India · On-site

  • This system is designed to increase survival rates for skin cancer by detecting it in its earliest stages. It uses deep learning algorithms to examine images in detail, point out areas of cancer, and delivers results with high accuracy. It has a hardware component made up of Raspberry Pi, an Intel Movidius Neural Compute Stick, and a camera that allows real-time image analysis. The project integrates the latest machine learning with available hardware in order to present an affordable and accurate means of early skin cancer detection.
Educational ResearchPython (Programming Language)AlgorithmsPandas (Software)Raspberry PiConvolutional Neural Networks (CNN)+3

Education

Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE — Electronics and Computer Science

Jan 2019May 2023

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