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Shubha AnanthramSA
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Shubha Ananthram

@shubhaananthram

I build scalable backend APIs and cloud-native systems with Node.js, TypeScript, and AI-assisted development.

India
Message

What I'm looking for

I'm looking to build scalable, secure backend and cloud-native systems where I can own delivery end to end, apply AI-assisted engineering practices, and collaborate in high-quality Agile teams.

I'm building scalable backend modules for Happiest Minds Technologies' CX Hub, including License Management and Request Management services using Node.js, TypeScript, PostgreSQL, MongoDB, and IBM Cloud Code Engine.

I design secure RESTful APIs, middleware pipelines, JWT authentication, and polyglot data models, while containerizing and deploying services with Docker. GitHub Copilot is part of my daily workflow for code generation, testing, debugging, refactoring, and pull request reviews.

For Razorpay's Partnerships platform, I delivered high-performance Golang APIs with 80%+ unit test coverage, supported Docker-based version migrations, and used Spinnaker and Coralogix for reliable deployments and observability.

Previously, I improved Forrester Reprints backend performance through caching, PostgreSQL and MongoDB query optimization, data-layer refactoring, and connection-pool tuning. I've also resolved 100+ SonarQube findings and focus on clean, maintainable, well-tested delivery in Agile teams.

Experience

Work history, roles, and key accomplishments

Happiest Minds Technologies logoHT
Current

Senior Software Engineer

Happiest Minds Technologies

Aug 2024 - Present (2 years 2 months)

Designed and implemented scalable backend modules for the CX Hub platform, including License Management and Request Management, using Node.js, TypeScript, PostgreSQL, and MongoDB. Adopted GitHub Copilot for AI-assisted development, accelerating feature delivery by 25-30% and achieving 85%+ test coverage.

Education

Degrees, certifications, and relevant coursework

ME

Malnad College of Engineering

Bachelor of Engineering, Information Science & Engineering

Grade: CGPA: 7.2

Completed Bachelor of Engineering in Information Science & Engineering with a CGPA of 7.2.

MC

Masters PU College

Pre-University, PCMB

Grade: 85%

Completed Pre-University education in PCMB with 85%.

SS

St. Philomena's School

Matriculation, General

Grade: 87%

Completed matriculation with 87%.

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