Software Engineer with 5+ years of experience in Java, Spring Boot, microservices, API design, CI/CD, testing, observability, and database performance — now extending that foundation into AI and automation.
01 / About
I specialize in modernizing and delivering Java services that are easier to deploy, test, observe, and evolve. My recent work has centered on Spring Boot migrations, microservice design, CI/CD automation, database optimization, and engineering practices that improve production reliability.
Alongside backend engineering, I completed a Master’s in AI & Automation at University West in Sweden, applying scikit-learn, TensorFlow, Keras, CNNs, transfer learning, ANN/RNN architectures, and model tuning to hands-on projects.
02 / Experience
From enterprise REST services to cloud-ready Spring Boot platforms.
Modernized large Java/Spring applications to Spring Boot, built microservices with clean and hexagonal architecture, strengthened CI/CD with GitHub Actions and Jenkins, and improved reliability through caching, query tuning, observability, and performance work.
Developed and validated backend APIs, improved automated test coverage, supported release workflows, and worked across frontend and platform teams to resolve integration blockers.
Built and maintained enterprise REST services using Java, JAX-RS, Spring, and MyBatis, including high-volume EDE integrations and production-readiness support during Open Enrollment periods.
03 / Toolkit
Java 8/11/21 · Spring Boot · JPA/Hibernate · REST · JAX-RS · MyBatis
Microservices · Clean Architecture · Hexagonal Architecture · DDD · Event-Driven Systems
JUnit · Mockito · Testcontainers · WireMock · Code Review · Gitflow
GitHub Actions · Jenkins · Docker · Kubernetes · CI/CD · Graylog
MySQL · PostgreSQL · MongoDB · SQL Server · Oracle Database
Python · scikit-learn · TensorFlow · Keras · CNN · ANN · SimpleRNN · Transfer Learning
04 / Selected work
Projects that show experimentation, evaluation, and model optimization.
Regression workflow with imputation, scaling, train/test evaluation, model comparison, and hyperparameter tuning via GridSearchCV and RandomizedSearchCV.
Compared CNN and fully-connected classifiers using normalization, dropout, validation tracking, and test evaluation.
Image classifier built with an ImageNet-pretrained Xception backbone, frozen feature layers, global average pooling, and a custom softmax head.
Implemented ResNet-34 residual blocks from scratch and experimented with ANN and SimpleRNN models for air-quality regression.
Live from GitHub
05 / Research
Published during my Computer Science & Engineering studies.
IoT-assisted navigation using Arduino, ultrasonic sensing, Bluetooth, GPS, and an Android application.
View publication ↗ 2018Sensor-driven nutrient monitoring and recommendation workflow using Arduino, GSM, and a Django-based web framework.
View publication ↗06 / Education
University West · Sweden
Amrita University · Kerala, India
07 / Contact
I’m currently based in Dubai and interested in Java, backend, platform, microservices, and AI-enabled software engineering opportunities.