Satya Kumar

01. About Me

I'm a Java Full Stack Developer with 5+ years of experience building and supporting production systems using Java, Spring Boot, React, AWS, and Kubernetes. Strong experience in microservices, distributed systems, and Site Reliability Engineering.

Hands-on experience working with AWS EKS, Kafka-based event-driven systems, and CI/CD pipelines, including production incident handling, root cause analysis, and performance tuning. Proven ability to deliver end-to-end solutions across backend and frontend layers, with exposure to AI-enabled workflows and data-driven applications in modern cloud environments.

5+ Years Experience

2 Companies

2 Projects

1 MS Degree

Master of Science in Computer Science

Missouri State University | 2020 - 2022

Based in USA

Open to opportunities nationwide

03. Experience

Jun 2022 - Present Full-Time

Full Stack Engineer & SRE

United Airlines | USA

Built and deployed Java Spring Boot microservices on AWS EKS, supporting real-time operational systems and improving service reliability across distributed production environments
Developed React.js interfaces with REST and WebSocket integration, enabling real-time data visibility and improving usability of internal operations tools
Stabilized production workloads by tuning Kubernetes CPU and memory configurations, eliminating throttling issues during peak traffic
Led production incident investigations and root cause analysis, resolving issues related to resource saturation, excessive logging, and API inefficiencies
Improved application performance through caching, rate limiting, and log optimization, reducing latency and improving response consistency
Implemented observability using Dynatrace, building dashboards, SLIs, SLOs, and alerting systems to reduce incident detection time
Designed event-driven architectures using Kafka and Amazon MSK for reliable asynchronous communication across backend services
Built and optimized data storage solutions using DynamoDB, PostgreSQL, and OpenSearch aligned with workload patterns
Automated deployments using CI/CD pipelines, reducing manual effort across Kubernetes environments
Developed cloud-native workflows using AWS Lambda, S3, and API Gateway for scalable backend processing
Managed traffic routing and application security using DataPower, Akamai CDN, ALB, and Route 53
Containerized applications using Docker and Helm, improving deployment consistency across environments
Integrated AI-enabled workflows and data-driven features into backend services, automating operational tasks and enhancing system efficiency

Java Spring Boot React.js AWS EKS Kafka Kubernetes Dynatrace

Jul 2019 - Dec 2020 Full-Time

Full Stack Developer (Java + AWS)

CitiusTech | India

Developed backend services using Java and Spring Boot, building REST APIs for enterprise applications with focus on scalability and system integration
Built frontend components using JavaScript and Angular, improving usability of business applications across internal and client-facing platforms
Integrated AWS services (EC2, S3, Lambda) to support cloud-based workflows, enabling scalable processing and efficient data handling
Improved performance by optimizing SQL queries and database interactions, reducing response times for data-heavy applications
Supported CI/CD processes, contributing to automated deployments and improving release reliability
Worked in Agile Scrum teams, contributing to feature delivery, defect resolution, and sprint-based development cycles
Supported data-driven features and workflow automation, contributing to early-stage intelligent application capabilities

Java Spring Boot Angular AWS SQL CI/CD

04. Projects

Full Stack / Microservices

Banking App - Spring Cloud Microservices

Demonstrates the architectural evolution of a banking application from monolithic to fully distributed microservices using Spring Cloud, Eureka, Zuul API Gateway, Hystrix Circuit Breaker, and Sleuth/Zipkin distributed tracing.

Java Spring Boot Spring Cloud Microservices

View on GitHub

AI / AWS

Sentiment Analysis Web App (AWS SageMaker)

Web application for determining movie review sentiment using a model deployed on AWS SageMaker. Uses Lambda for inference, API Gateway as the interface, and a frontend that sends reviews and displays positive/negative predictions.

Python AWS SageMaker Lambda API Gateway

View on GitHub

Full Stack

Itinerary Planner - Smart Tour Recommendations

A modern Java web application that recommends personalized tour packages based on user preferences. Features authentication, trip type filtering, preference management, and dynamic package display with a responsive Vaadin UI.

Java Vaadin Spring Boot MongoDB

View on GitHub

DevOps / Monitoring

Spring Boot Monitoring with Prometheus & Grafana

Monitoring setup for Spring Boot applications using Prometheus for metrics collection and Grafana dashboards for visualization. Containerized with Docker Compose for easy deployment and real-time observability.

Java Spring Boot Prometheus Grafana Docker

View on GitHub

Big Data / Real-Time

Real-Time Fraud Detection System

A real-time fraud detection pipeline built with Scala and stream processing, designed to identify fraudulent transactions as they occur using pattern recognition and anomaly detection techniques.

Scala Spark Stream Processing Real-Time

View on GitHub

AI / Signal Processing

Brain Mapping EEG Classification

A Python web application that classifies EEG signals as normal or abnormal using 2D Discrete Wavelet Transform. Assists healthcare professionals in neurological diagnostics through automated biomedical signal processing.

Python Flask Signal Processing Wavelet Transform

View on GitHub

AI / ML

Medical Insurance Cost Prediction

Predicts health insurance costs using exploratory data analysis and machine learning models. Analyzes factors like age, BMI, smoking habits, and region to forecast individual medical costs with metrics like RMSE and R2.

Python Pandas Scikit-learn NumPy

View on GitHub

Data Analysis

U.S. Nursing Homes Financial Analysis

Analyzes financial performance, quality indicators, and regulatory penalties of U.S. nursing homes from 2015-2021 using CMS datasets. Highlights COVID-19 impact on net income, staffing, and operations across facility sizes.

Python Data Analysis Visualization Pandas

View on GitHub

Data Science

Time Series Analysis & Forecasting

Comprehensive guide on time-series analysis and forecasting with Python. Covers EDA, data visualization, classical statistical models, deep learning approaches, and Facebook Prophet for univariate and multivariate forecasting.

Python Prophet Deep Learning Time Series

View on GitHub

Java / Networking

Java Chat System

A client-server chat application where two users can communicate simultaneously in real-time. Built using Java socket programming to explore network communication and concurrent response handling.

Java Sockets Networking Multithreading

View on GitHub

01. About Me

Master of Science in Computer Science

Based in USA

02. Skills & Expertise

Programming Languages

Backend

Frontend

Cloud (AWS)

Containers

Messaging

Databases

DevOps

Monitoring

Networking

Architecture & Additional

03. Experience

Full Stack Engineer & SRE

Full Stack Developer (Java + AWS)

04. Projects

Banking App - Spring Cloud Microservices

Sentiment Analysis Web App (AWS SageMaker)

Itinerary Planner - Smart Tour Recommendations

Spring Boot Monitoring with Prometheus & Grafana

Real-Time Fraud Detection System

Brain Mapping EEG Classification

Medical Insurance Cost Prediction

U.S. Nursing Homes Financial Analysis

Time Series Analysis & Forecasting

Java Chat System

05. Education

Academic Background

Master of Science in Computer Science

06. Get In Touch

Let's Connect!