Seated: High-Volume Microservice and Full-Stack Development
A core focus on scalability and ultra-low latency for services supporting mobile apps with 100,000+ downloads and a website with 1,000+ daily visitors.
- Microservices & Performance Engineering (Java - Spring Boot, gRPC, AWS)
- Spearheaded the migration from a monolithic backend to a Microservices Architecture, dramatically improving system resilience and independent deployability.
- Engineered a dynamic, high-accuracy search solution using AWS Elasticsearch to handle massive request volumes with fast response times.
- Optimized inter-service communication by implementing gRPC for superior performance compared to traditional REST.
- Established a robust CI/CD pipeline and cloud infrastructure using AWS, all automated with AWS Cloudformation for repeatable and reliable deployments.
- Full-Stack Web Development (Ruby on Rails, React JS)
- Developed and deployed the client's public-facing website on AWS.
- Built a custom web application to support a client product.
- Created several internal administrative portals to streamline operations for both clients and the internal team.
- Tools: Java (SpringBoot, gRPC), Ruby on Rails, React JS, AWS (ECS, FARGATE, ECR, Code Pipeline, ElasticSearch), Firebase.
Eloquii: Architecture, AI, and Business Intelligence
Focusing on creating maintainable, decoupled systems, delivering customer-facing AI features, and providing clear business insights.
- Decoupled Backend Architecture (Java - Spring Boot, AWS)
- Designed and developed a new system based entirely on Microservice Architecture, enforcing separation of concerns.
- Achieved a system that is highly maintainable, testable, and allows for independent, rapid deployment.
- Managed the setup of the complete cloud infrastructure and CI/CD processes utilizing GitHub Actions and AWS.
- Tools: Java, SpringBoot, AWS (ECS, FARGATE, ECR, Code Pipeline, ElasticCache).
- AI-Powered Fit Predictor (Python, CNN)
- Developed a Recommending System to enhance the e-commerce experience.
- Trained a low-complexity Convolutional Neural Network (CNN) to classify users based on features like weight, height, and body type.
- The system accurately suggests the most appropriate clothing size and fit, reducing returns and improving customer satisfaction.
- Business Intelligence & Analytics (Tableau)
- Created an executive-level Tableau dashboard for the management team.
- Visualized critical sales data and integrated business intelligence features including sales projections, operational health reports, and customer interest monitoring.
- Tools: Python, Tableau.