V. Kumar — Software EngineerBengaluru, IN
● Available for work

Varun
Kumar

Software Engineer building systems that stay up under load.

I re-architect monoliths into resilient, distributed microservices, wire AI into production pipelines, and instrument everything so it can be measured, scaled, and trusted — at a scale of 100M+ patients evaluated daily.

View experience ↓Get in touch
Selected outcomesFig. 01
0M+
patients evaluated daily
distributed targeting platform
0%
p-latency reduced
monolith → microservices
0%
classification accuracy
AI reply interpretation
0%
throughput gained
Postgres partitioning
0%+
unit test coverage
up from 30%
0%
release success rate
automated test framework
01

Overview

I'm a backend engineer building highly scalable distributed systems that handle high-volume, multi-channel communication across text, email, and fax. Most of my time goes into taking things that were built to just work and making them work at scale — splitting them apart, measuring them, and making failure loud instead of silent.

The thread through my work is reliability you can prove: a monolith becomes a set of focused services, an inbox of freeform replies becomes structured signal an AI can act on, and a black-box deploy becomes a dashboard with alerts. I like the part of engineering where a graph tells you the truth.

Education
B.E., Computer & Communication Engineering
NMAM Institute of Technology (NMAMIT), Nitte
2020 — 2024CGPA 8.25
02

Experience

Aug 2024 — Present
Outcomes
● Current

Software Engineer 1

  1. 01Led the migration of a large monolith handling text, email, and fax channels into a channel-specific, distributed microservice architecture (Spring Boot, Java) — cutting latency by 60% and sharpening maintainability and monitoring.
  2. 02Operate a distributed, microservice-based targeting platform that evaluates 100M+ patients daily against eligibility rules and publishes decisions to downstream systems. Delivered 10+ high-revenue-generating programs on this platform.
  3. 03Built an AI integration that classifies inbound user replies — adverse events, stop requests, and more — at 99% accuracy, feeding downstream automation.
  4. 04Set up database partitioning on PostgreSQL (AWS RDS) for 40% higher throughput, and led a PostgreSQL version upgrade and a Terraform-based database migration.
  5. 05Built an integrated automated testing framework in TestNG that removed manual testing and raised release success to 95%; lifted unit test coverage from 30% to 90%+ and added SonarQube to hold coverage and security.
  6. 06Instrumented services with Prometheus and Grafana for message-pattern visibility and alerting — cutting production monitoring effort to just a few minutes.
May 2024 — Jul 2024
Outcomes

Software Engineer — Intern

  1. 01Contributed to backend services and tooling, converting the internship into a full-time Software Engineer 1 role.
03

Stack

Languages
JavaSpring BootPythonJavaScriptReact
Cloud & Infrastructure
AWSKubernetesDockerTerraformConcourseArgoCD
Data & Persistence
PostgreSQLMySQLHibernateFlyway
Architecture
MicroservicesEvent-DrivenRESTful APIsMonolith Migration
Testing & Observability
TestNGJUnit 5SonarQubePrometheusGrafanaKibana
04

Contact

Have a system that needs to scale, or a role that needs an engineer who measures twice?

Open to conversations. The fastest route is email.

Email
kumarvarun1947@gmail.com
LinkedIn
linkedin.com/in/varun-kumar-b81a59269
Phone
+91 82961 32146