Event-driven platforms
Kafka, Redis, AWS Lambda, SQS, and microservices for asynchronous, resilient workflows.
Full-stack systems engineer
Satya Sai Varun Badireddi
Software engineer with 2+ years designing production-scale platforms, event-driven microservices, full-stack applications, and AWS-native deployments using Node.js, Spring Boot, Angular, Kafka, and Kubernetes.
- 10K+
- sellers supported
- 70%
- reduce support dependency
- 40%
- throughput improvement
- 25%
- fewer operational errors
About
Building useful systems from frontend workflows to distributed backend infrastructure that holds up at scale.
I work across product-facing applications and backend platforms, with a focus on reliable APIs, event-driven workflows, and cloud deployments that stand up to production use.
At CarDekho, I helped build seller and auction-management services used by more than 10,000 sellers, automated payment and inspection workflows, and improved operational throughput while reducing manual dependency.
Full-stack product work
Angular, React, NestJS, Express, Spring Boot, REST APIs, authentication, and user workflows.
Cloud-native delivery
Docker, Kubernetes, Jenkins, GitHub Actions, AWS EC2, S3, ECS, Lambda, and CloudWatch.
Principles
How I like to build.
Make the workflow real
Model the end-to-end operating flow first, then engineer, automate, instrument, and deploy scalable services around it.
Keep services observable
Favor small services, clear contracts, automated pipelines, and enough telemetry to debug quickly.
Design for scale early
Use queues, caching, streaming, and containerized deployments where they remove pressure from the system.
Professional Experience
Engineering Production Systems Across Seller Platforms, Auctions, and Payment Workflows.
Software Engineer
- Built a self-serve seller platform for bid management, account updates, and payments, serving 10K+ sellers and reducing support dependency by 70%.
- Automated vehicle auction, inspection, and payout workflows with backend services and payment integrations, improving throughput by 40% and reducing operational errors by 25%.
- Developed scalable applications using Angular, NestJS, microservices, REST APIs, Redis caching, AWS Lambda, and SQS.
- Built and maintained Jenkins CI/CD pipelines with automated testing for backend deployments on AWS EC2.
- Partnered with cross-functional teams to troubleshoot production issues and improve performance across seller and auction-management services.
Projects
01
Full-stack recommendations
Anime Recommendation Platform
A full-stack recommendation platform with non-blocking APIs, authenticated user flows, and asynchronous recommendation processing.
- Built with React, Spring WebFlux, JWT authentication, PostgreSQL, Redis, Kafka, Docker, and Kubernetes.
- Designed a content-based engine using genre and text similarity for personalized recommendations.
React
Spring WebFlux
Kafka
Kubernetes
02
Graph analytics
Large-Scale Graph Data Analytics Pipeline
A graph analytics pipeline for trip and location data, using graph algorithms to surface relationships across high-volume datasets.
- Modeled large parquet datasets in Neo4j Graph Data Science with BFS and PageRank workflows.
- Extended the architecture with Kafka streaming and Kubernetes orchestration through Minikube.
Neo4j GDS
Docker
Kafka
PageRank
03
Predictive modeling
Depression Risk Prediction
An end-to-end machine learning pipeline for predictive analysis, with preprocessing, feature engineering, imbalance handling, and model evaluation.
- Trained Logistic Regression, Random Forest, and Gradient Boosting models with a soft-voting ensemble.
- Optimized for Recall and F1-score, achieving 94% accuracy with an F1-score of 0.82.
Python
scikit-learn
Ensembles
F1 0.82
Skills
A practical stack for product engineering and distributed systems.
Languages
Java, JavaScript, TypeScript, SQL
Frameworks
Spring Boot, WebFlux, Angular, Node.js, NestJS, Express, React, REST APIs
Cloud and DevOps
Docker, Kubernetes, AWS Lambda, S3, EC2, ECS, SQS, CloudWatch, Jenkins, GitHub Actions
Data and Tools
PostgreSQL, MySQL, MongoDB, Redis, Kafka, Neo4j, JUnit, Mockito, Git
Education
Formal training in software engineering and computer science fundamentals.
Arizona State University
Master of Science - Computer Software Engineering
IIT (BHU), Varanasi
Integrated Dual Degree - B.Tech + M.Tech
Contact
Have an idea, opportunity, or project you would like to discuss?
I would be happy to connect.