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Rinesh Garg

Software Engineer | Ex-Amazon | Java, Spring Boot, FastAPI | Microservices | Docker, CI/CD | LeetCode Top 1% | Open to SDE / Full Stack Roles.

Hindaun

1+ year of work experience

Infosys
Nov 202510 mosPresent

Pune City, Maharashtra, India

• Developed REST APIs (Java/Spring Boot) to process Excel test cases into JSON and store in PostgreSQL, improving data handling efficiency. • Built automated test execution workflow integrating Nexus and NAS, enabling seamless artifact deployment. • Enabled concurrent test execution, reducing overall runtime and improving scalability. • Automated orchestration using Python scripts for triggering, monitoring, and managing test workflows. • Designed database schema for efficient test case management.
Infosys
Jul 20254 mosOct 2025

Mysore, Karnataka, India

• Designed and built ETL pipelines leveraging Azure Data Factory and Azure Databricks for large-scale data processing, increasing processing efficiency by 30%. • Developed real-time data ingestion solutions using Kafka and PySpark Streaming, enhancing data retrieval speed for analytics by 25%. • Gained hands-on experience in MongoDB and Unix, solidifying skills in backend technologies and system-level operations.
Amazon
Jul 20246 mosDec 2024

Bengaluru, Karnataka, India

• Engineered 5+ custom Java/GQL rules for AlexaI18nScanner, resolving 95% of internationalization defects. • Designed and deployed a centralized AWS dashboard to monitor fix rates and accuracy, reducing false positive analysis time by 40%. • Automated DCAS-to-CLAMS code migration via IronHide scripts, cutting manual migration efforts by 70%. • Optimized scanner algo, slashing false positives 64% (80%→16%) and boosting code reviews 25%.

Rinesh’s AI Stack

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Education

Graphic Era Deemed to be University

Bachelor of Technology - BTech, Computer Software Engineering

Graphic Era Deemed to be University

20214 yrs2025

Intermediate

Sarvodaya Senior Scecondary School

20191 yr2020

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Headline

Software Engineer | Ex-Amazon | Java, Spring Boot, FastAPI | Microservices | Docker, CI/CD | LeetCode Top 1% | Open to SDE / Full Stack Roles.

About

I’m a Software Engineer with 1.3+ years of experience building scalable and efficient backend systems, having worked with organizations like Amazon and Infosys. I specialize in designing microservices-based architectures and developing high-performance applications using Java (Spring Boot) and Python (FastAPI). I have hands-on experience with RESTful APIs, distributed systems, caching (Redis), and relational databases like PostgreSQL and MongoDB. I’m also skilled in implementing CI/CD pipelines using Jenkins and TravisCI, and containerizing applications with Docker to ensure smooth deployments. Lately, I’ve been exploring how AI can be integrated into real-world applications—whether it’s enhancing backend systems, improving decision-making, or building smarter, data-driven features. I’m particularly interested in leveraging AI alongside scalable system design to create more intelligent and efficient products. Beyond my professional work, I’m deeply passionate about problem-solving and data structures & algorithms. I ranked 919 globally out of 28,833 participants in LeetCode Weekly Contest 444 and secured 6th place in Graphethon among 650 teams, demonstrating strong analytical and competitive programming skills. I’m currently exploring opportunities in Software Engineering, Full Stack Development, and Data Engineering/Science, where I can contribute to building impactful and scalable solutions while continuously growing as an engineer. Feel free to connect with me at rineshkota@gmail.com or +91 7742832432. Looking forward to networking with like-minded professionals!!

Location

Hindaun

AI stack

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opencode

Work experience

Software Development Engineer (Digital Specialist Engineer) at Infosys, Nov 2025 - Present · 10 mos, Pune City, Maharashtra, India, • Developed REST APIs (Java/Spring Boot) to process Excel test cases into JSON and store in PostgreSQL, improving data handling efficiency. • Built automated test execution workflow integrating Nexus and NAS, enabling seamless artifact deployment. • Enabled concurrent test execution, reducing overall runtime and improving scalability. • Automated orchestration using Python scripts for triggering, monitoring, and managing test workflows. • Designed database schema for efficient test case management.

Digital Specialist Engineer Trainee at Infosys, Jul 2025 - Oct 2025 · 4 mos, Mysore, Karnataka, India, • Designed and built ETL pipelines leveraging Azure Data Factory and Azure Databricks for large-scale data processing, increasing processing efficiency by 30%. • Developed real-time data ingestion solutions using Kafka and PySpark Streaming, enhancing data retrieval speed for analytics by 25%. • Gained hands-on experience in MongoDB and Unix, solidifying skills in backend technologies and system-level operations.

Software Engineer at Amazon, Jul 2024 - Dec 2024 · 6 mos, Bengaluru, Karnataka, India, • Engineered 5+ custom Java/GQL rules for AlexaI18nScanner, resolving 95% of internationalization defects. • Designed and deployed a centralized AWS dashboard to monitor fix rates and accuracy, reducing false positive analysis time by 40%. • Automated DCAS-to-CLAMS code migration via IronHide scripts, cutting manual migration efforts by 70%. • Optimized scanner algo, slashing false positives 64% (80%→16%) and boosting code reviews 25%.

Education

Bachelor of Technology - BTech, Computer Software Engineering, Graphic Era Deemed to be University

Intermediate, Sarvodaya Senior Scecondary School

Public links

github: https://github.com/rineshgarg

Rinesh Garg - Software Development Engineer (Digital Specialist Engineer) in Hindaun | Tal