Gyanesh Gunjan

Software Engineer

Chennai, Tamil Nadu, India5 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Contributed over 0.3M lines of production code at Amazon.
Led migration of high-traffic services to AWS, optimizing costs.
Expert in backend systems and microservices architecture.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and Microservices architecture.

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Skills

Core Skills

JavaAwsMicroservicesRestful ApisKotlinRestful MicroservicesAi

Other Skills

Performance OptimizationCode QualityMicrosoft AzureSpring BootObject DetectionData StructuresAlgorithm DevelopmentC/C++Computer ScienceMachine LearningTensorFlowPythonOpenCVArtificial Intelligence (AI)ChatGPT

About

Hey, I’m Gyanesh — SDE @ Amazon. I build scalable backend systems and love simplifying complex problems. 🚀 Contributed 0.3M+ lines of production code powering Amazon Appstore for Fire TV 🔧 Daily work spans VegaOS, FireOS, Fire TV ads/offers/subscriptions, Fire TV out-of-the-box experience, AWS services, Android development, and performance optimisation 📱 Currently enhancing app discovery and user experience across Fire TV Appstore 📢 Now sharing insights on code, career, and developer growth — one post at a time If you're into real-world engineering, clean architecture, or breaking into big tech — let's connect 👇

Experience

Amazon

3 roles

SDE-II

Oct 2025 – Present · 5 mos · On-site

SDE

Feb 2024 – Sep 2025 · 1 yr 7 mos · On-site

System Development Engineer

Jul 2022 – Jan 2024 · 1 yr 6 mos · On-site

🚀 Successfully led the migration of a high-traffic Java service with 8000+ transactions per second (TPS) from Internal AWS to public AWS, resulting in a significant reduction of 5 weeks in maintenance effort annually and achieving a notable optimization of hosting costs by approximately 50%.
🌐 Consolidated a region-specific Java-based service exclusive to the US, previously operating independently with TPS 5000+, into existing Java-based services. This strategic decision significantly improved operational efficiency, addressing challenges such as fleet costs, excessive OPEX, and periodic certification, streamlining overall service
💻 Contributed over 40k lines of precisely crafted code to Amazon Appstore on FireTV, exemplifying unwavering dedication to code excellence and efficiency.

JavaAWSMicroservicesPerformance Optimization

Tata consultancy services

4 roles

Engineer

Dec 2021 – Apr 2022 · 4 mos

💡 Proficiently engaged with cutting-edge technologies including Microservices architecture, RESTful APIs, Mulesoft integration, Microsoft Azure, and Spring Boot.

MicroservicesRESTful APIsMicrosoft AzureSpring Boot

System Engineer

Aug 2021 – Nov 2021 · 3 mos

🛠️ Engineered a robust microservice leveraging Kotlin and the Spring Boot framework, facilitating the seamless retrieval of comprehensive superstore information from databases. Implemented filtering parameters to refine database queries, enhancing the precision of data retrieval processes.

KotlinSpring BootMicroservices

Intelligent microservices Using DL

Promoted

Apr 2021 – Jul 2021 · 3 mos

Developed scalable and secure RESTful microservices using Spring Boot (Gradle) and Java, integrating distributed tracing for end-to-end monitoring and implementing rate limiting for enhanced security.
Streamlined API design with a focus on user-friendly, efficient, and reliable interfaces, ensuring robust backend-to-client communication.

JavaSpring BootRESTful Microservices

AI Camera based selective multi-object tracking

Jul 2020 – Sep 2020 · 2 mos · Hyderabad, Telangana, India

Designed and implemented an AI-powered object detection system for selective multi-object tracking within dynamic regions of live video frames, enhancing efficiency and adaptability to user-specific use cases.
Optimized system performance by integrating pre-trained machine learning models for object detection, reducing processing overhead by focusing analysis on user-defined frame dimensions instead of entire video screens.

AIObject Detection