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Geetansh Agrawal

Senior Software Engineer / Full-stack Developer

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I build software at Agilepoint Take a look at my Resume Let's connect on LinkedIn Check out my repos on GitHub

About

Senior Software Engineer with 3+ years of experience building distributed systems, event-driven microservices, and enterprise workflow automation platforms. Proven track record of delivering measurable performance improvements at scale - from 1M+ daily transactions to 40% latency reductions - across Java/Spring Boot, React, Angular, Kafka, and AWS.

Tech Stack

Experience

Agilepoint

Senior Software Engineer

April 2026 - Present
  • Contributing to the core product team developing an enterprise-grade no-code workflow automation platform, enabling organizations to build, automate, and orchestrate complex business processes.

  • Designing and implementing full-stack features using React and Spring Boot, translating business requirements into scalable, maintainable, and production-ready solutions.

  • Driving end-to-end feature development across frontend and backend systems, collaborating with cross-functional teams to enhance platform capabilities, user experience, and system reliability.

Java SpringBoot ReactJS AWS Docker Kubernetes

Tata Consultancy Services (TCS iON)

Software Engineer

Aug 2023 - April 2026
  • Spearheaded platform scalability to reliably support 1M+ daily assessment transactions by decomposing the monolithic evaluation engine into domain-driven microservices, establishing clear service boundaries and enforcing idempotent REST interfaces.

  • Accelerated system throughput by 35% and eliminated workflow bottlenecks by orchestrating the transition of core evaluation flows to a distributed event-driven architecture, leveraging Kafka/RabbitMQ with asynchronous message queues.

  • Reduced database query latency by 40% and improved data throughput for 1M+ candidate records by restructuring workloads across MySQL (transactional) and MongoDB (document storage), optimizing indexes, and integrating Redis-based hot-cache layers.

  • Increased deployment reliability and minimized environment drift by adopting immutable Docker image builds, standardizing environment parity, and enabling zero-downtime rolling deployments on AWS EC2 through automated CI/CD pipelines.

  • Reduced response time by 25% and strengthened operational security by refactoring core modules using scalable design patterns and implementing RSA/AES encrypted logging with automated key rotation.

Java SpringBoot SQL JavaScript Jenkins Git

Education

Computer Science and Engineering | University Institute of Technology RGPV

May 2019 – Jun 2023

CGPA: 8.23

Java C/C++ Data Structures SQL / MySQL MongoDB Linux UI/UX Foundation Networking Algorithms Relational Databases Software Engineering Self-learning Teamwork Presentation