Open to Full-time SWE Roles

Satya Sai Varun Badireddi

Backend & Full-Stack Engineer

Java · Spring Boot · TypeScript · AWS · Kafka · Kubernetes

2+ Years Industry
10K+ Sellers Served
3.97 GPA @ ASU
varun@portfolio ~ zsh
☕ Java
⚡ Kafka
☸ K8s
Scroll
01 — About

Building Systems
That Scale.

I'm a Software Engineer with 2+ years of production experience building scalable backend and full-stack applications. At CarDekho, I shipped seller management, auction, payment, and workflow automation systems that served tens of thousands of users daily.

Currently finishing my MS in Computer Software Engineering at Arizona State University (GPA 3.97), where I focus on distributed systems, cloud-native architecture, and data engineering. I hold an Integrated Dual Degree from IIT (BHU), Varanasi.

I get obsessed with event-driven design, reactive APIs, and infrastructure that just doesn't break.

CurrentlyMS @ ASU · Tempe, AZ
PreviouslySWE @ CarDekho
UndergradIIT (BHU) — Integrated Dual Degree
Status● Available June 2026
02 — Experience & Education

Where I've Worked & Studied.

Software Engineer

CarDekho — Gurugram, India
Jul 2022 – Aug 2024
  • Built a self-serve seller platform for bid management, account updates, and payments — serving 10K+ sellers and cutting support dependency by 70%.
  • Automated vehicle auction, inspection, and payout workflows; improved processing throughput by 40% and reduced operational errors by 25%.
  • Developed full-stack features in Angular & NestJS; integrated Redis caching and AWS Lambda + SQS for reliable event-driven workflows.
  • Built and maintained Jenkins CI/CD pipelines with automated testing on AWS EC2.
AngularNestJSRedisAWS LambdaSQSJenkinsPostgreSQL

MS — Computer Software Engineering

Arizona State University — Tempe, AZ
Expected May 2026

GPA 3.97 / 4.00 · Focus: Distributed Systems, Cloud-Native Applications, Backend & Full-Stack Development, Scalable Architecture.

Integrated Dual Degree — B.Tech + M.Tech

IIT (BHU), Varanasi, India
Jul 2017 – May 2022

GPA 8.24 / 10 · Five-year integrated program at one of India's premier engineering institutions.

03 — Projects

Things I've Built.

02

Graph Data Analytics Pipeline

Scalable graph analytics pipeline on large-scale trip & location datasets using BFS and PageRank via Neo4j Graph Data Science.

  • Parquet → Neo4j graph ingest (nodes, edges, routes)
  • BFS for reachability · PageRank for location importance
  • Kafka streaming ingestion layer
  • Orchestrated with Docker + Kubernetes (Minikube)
Neo4jGDSKafkaPythonDockerK8sCypher
03

Depression Risk Prediction

End-to-end ML classification pipeline with ensemble learning, optimised for recall and F1-score on imbalanced health data.

  • Preprocessing, feature engineering, imbalance handling
  • LR · Random Forest · Gradient Boosting comparison
  • Soft-voting ensemble → 94% accuracy, F1: 0.82
  • Optimised for recall — critical in risk-prediction
Pythonscikit-learnpandasNumPyEnsemble ML
04 — Skills

My Tech Stack.

Backend
JavaSpring BootSpring WebFlux Node.jsNestJSExpress.js REST APIsMicroservicesJWT
Frontend
ReactAngularTypeScript JavaScriptHTMLCSSTailwind
Cloud & DevOps
AWS LambdaAWS S3AWS EC2 AWS ECSAWS SQSDocker KubernetesJenkinsGitHub Actions
Messaging & Streaming
Apache KafkaAWS SQSEvent-Driven Arch.Async Processing
Databases
PostgreSQLMySQLMongoDBRedisNeo4j
Languages
JavaTypeScriptJavaScriptPythonSQL
05 — Contact

Let's Connect.

I'm actively looking for full-time Software Engineer roles starting June 2026. Whether you have an opportunity or just want to talk systems design — my inbox is open.