Software Engineer @ Yext

Building theFuture of Web

I'm Tarun Revalla, a Software Engineer passionate about building scalable, enterprise-grade applications. Currently at Yext, I work across the full stack—from crafting responsive UIs to architecting robust backend systems.

With a B.Tech in Computer Science from NIT Meghalaya and hands-on experience delivering measurable impact (40% performance improvements, 500+ test migrations), I bring engineering rigor to every project.

Hyderabad, Indiatarunrevalla@gmail.com
40%
Performance Improvement
Across 140+ transactions
500+
Test Migrations
JUnit 4 to JUnit 5
100+
Defects Fixed
Frontend & Backend
95%
ML Accuracy
Body Tracking System

Technical Arsenal

Proficient across the modern development stack—from low-level systems programming to cloud-native applications

Languages

Java
Go
TypeScript
Python

Frontend

React
Next.js
AngularJS
Tailwind

Backend

Spring Boot
Node.js
REST APIs
GraphQL

Data & DevOps

PostgreSQL
MongoDB
Docker
Jenkins

Professional Journey

Software Engineer

Current

Yext

Aug 2024 - Present • Hyderabad, India

  • Building scalable product experiences as a full-stack engineer
  • Full SDLC participation: design → implementation → deployment
  • Writing clean, tested, well-structured production code
  • Collaborating with PMs and designers on enterprise AI search solutions

Associate Software Engineer

Napier Health Care

Aug 2023 - Aug 2024 • Hyderabad, India

  • Improved application performance by ~40% across 140+ business transactions
  • Migrated 500+ test cases from JUnit 4 → JUnit 5
  • Reduced SCA issues from 24 → 4 within one month
  • Fixed 100+ frontend/backend defects improving system stability

Full Stack Developer Intern

Solar Secure Solutions

Jul 2022 - Aug 2022 • Shillong, Meghalaya

  • Built 10+ responsive web pages from scratch
  • Resolved 30+ issues and managed 50+ Git commits

Featured Projects

Cloud Infrastructure Optimization

Node.js • AWS

~40% cost reduction, ~25% engagement increase

Human Body Tracking System

OpenCV • MediaPipe

60 FPS real-time, ~95% accuracy

AI Virtual Pain Assessment

OpenCV • ML

+50% adoption, -15% error rate