
Shubha Ananthram
@shubhaananthram
I build scalable backend APIs and cloud-native systems with Node.js, TypeScript, and AI-assisted development.
What I'm looking for
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
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.
Software Engineer
Happiest Minds Technologies
Aug 2022 - Jul 2024 (1 year 11 months)
Optimized backend APIs for the Forrester Reprints media content delivery platform, improving performance through caching and query optimization. Resolved 100+ SonarQube issues and automated deployment scripts to streamline release cycles.
Education
Degrees, certifications, and relevant coursework
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.
Masters PU College
Pre-University, PCMB
Grade: 85%
Completed Pre-University education in PCMB with 85%.
St. Philomena's School
Matriculation, General
Grade: 87%
Completed matriculation with 87%.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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