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gauthem krishna

@gauthemkrishna

Message

I build scalable enterprise APIs, automation tools, and modernized applications across .NET, Azure, and Java.

India

Message

I'm building end-to-end API solutions for RWE at Adesso India, including generic, dedicated SQL, and metadata endpoints designed for performance and scalability.

I containerize and orchestrate resilient deployments with Docker, Kubernetes, and Linux containers while collaborating on enterprise data-management systems.

At TransDyne, I modernized legacy VB applications, made architectural decisions, mentored junior engineers, and worked across .NET, Java, React, and React Native.

At CareStack, I built C# and Python automation that reduced manual processing time by 93%, developed medical classification models, and created rule engines and email-template tooling.

Experience

Work history, roles, and key accomplishments

Current

Senior Associate

Current

Adesso India

May 2025 - Present (1 year 4 months)

Partnered with enterprise client RWE to architect and develop a comprehensive, end-to-end API solution leveraging their custom ODBC drivers. Designed and deployed production-level APIs with generic, dedicated SQL, and metadata endpoints, prioritizing performance optimization and scalability.

C#.NET Azure REST APIs Docker Kubernetes Linux SQL ODBC API Design Performance Optimization Scalability Containerization Orchestration Cross Functional Collaboration Data Management

Senior Software Engineer

TransDyne

Nov 2023 - Apr 2025 (1 year 5 months)

Led comprehensive software development initiatives across multiple technology stacks including .NET, Java, React, and React Native. Spearheaded modernization efforts by transforming legacy VB applications into contemporary, high-performance systems with improved maintainability.

.NET Java React React Native Legacy Modernization Technical Leadership Mentorship Architectural Design Best Practices Technical Interviews

Software Engineer

CareStack

Aug 2021 - Nov 2023 (2 years 3 months)

Engineered automation tools in C# and Python, reducing manual data processing time by 93% and optimized to run on the free-tier of Azure Functions under high load. Architected end-to-end custom medical classification models using Python and ML.NET, managing data procurement, cleaning, and training.