· Master's in Computer Science (VCU, Dec 2025) with a strong foundation in AI/ML systems.
· Experienced in designing scalable, production-grade data pipelines and intelligent APIs.
· Hands-on with deep learning (ResNet-50, MobileNet) and NLP for predictive modeling.
· Solid understanding of data structures, object-oriented design, and SOLID principles.
· Strong in Python and Java for both data science and backend development.
· Developed secure, test-driven REST APIs using Spring Boot, JWT, and OAuth2.
· Built and monitored event-driven systems using AWS EventBridge, Lambda, and DynamoDB.
· Managed infrastructure with CloudFormation and Terraform in enterprise-level apps.
· Performed advanced SQL tuning across Oracle, PostgreSQL, MySQL, and Cassandra.
· Visualized insights using Tableau with dynamic dashboards and multi-source blending.
· Dockerized applications and deployed with Kubernetes (EKS, ECS) using Helm charts.
· Practiced TDD and BDD using JUnit, Mockito, and Cucumber in fast-paced teams.
· Experienced in version control, branching, and CI/CD with GitHub and GitLab.
· Used Kafka for real-time messaging and stream processing in high-throughput systems.
· Built caching layers using Redis to reduce latency and increase API responsiveness.
· Developed AWS-native serverless applications using EventBridge, Lambda, API Gateway, and DynamoDB.
· Set up secure VPCs, IAM policies, and CloudWatch alarms for monitoring and logging.
· Integrated SonarQube and Black for code quality enforcement in CI pipelines.
· Tested APIs manually using Postman and automated them with JUnit and Mockito.
· Defined infrastructure as code with Terraform and CloudFormation templates.
· Worked on Kafka consumer/producer systems for handling high-volume event streams.
· Implemented role-based API security using Spring Security and OAuth2.
· Optimized complex SQL queries and tuned PostgreSQL execution plans.
· Used Redis for caching API responses and reducing DB load.
· Deployed and monitored Docker containers in Kubernetes via EKS with auto-scaling configs.
· Created Tableau dashboards to visualize operational metrics, model results, and API logs.
· Practiced strict TDD and collaborated in agile-style team workflows.
· Used GitLab pipelines with merge request hooks and quality gates.
· Simulated production deployments and rollback using Helm and GitOps practices.
· Documented the entire stack using UML, flow diagrams, and Confluence notes.
Python, Java, SQL, Bash
Scikit-learn, TensorFlow, ResNet-50, MobileNet, NLP techniques
Oracle, PostgreSQL, MySQL, MongoDB, CassanAWS (Lambda, EventBridge, API Gateway, DynamoDB, CloudWatch, VPC, IAM), Terraform, CloudFormation
Docker, Kubernetes (EKS, ECS)
JUnit, Mockito, Postman, Cucumber (BDD), and TDD practices
Spring Security, JWT, OAuth2
Tableau (Dashboards, Storyboards, Filters, Joins)
Version Control: GitHub, GitLab
IntelliJ, Eclipse, NetBeans, Visual Basic Maven, Gradle, SonarQube, B