My Projects
A collection of projects demonstrating my skills in full-stack development, distributed systems, and data analytics.
December 2025
CineQuest
A distributed microservice-based platform for movie discovery and notifications with clear service boundaries and architectural trade-off analysis.
MicroservicesKubernetesKafkaReact
Key Highlights
- •Designed and implemented distributed microservice architecture with clear service boundaries
- •Developed Movie Service integrating TMDB API with Redis caching to reduce latency
- •Implemented Notification Service consuming Kafka events for asynchronous email delivery
- •Built complete React frontend integrated via centralized API Gateway
- •Containerized and deployed using Docker and Kubernetes
July 2025
SmartTrip NYC
A comprehensive travel planning platform with authentication flows, AI and ML powered recommendations, and production deployment infrastructure.
ReactSpring BootFlaskPostgreSQL
Key Highlights
- •Led system maintenance phase, coordinating frontend, backend, and ML teams
- •Implemented JWT-based login/logout and Google OAuth integration
- •Managed bug fixes and feature requests following agile practices
- •Maintained production deployment using Docker Compose, Nginx, and CI/CD pipelines
May 2025
Dublin BikeShare App
Web application displaying real-time Dublin bike availability and weather conditions with predictive analytics for peak usage forecasting.
FlaskJavaScriptpythonHTML/CSS
Key Highlights
- •Developed full-stack web application displaying real-time Dublin bike availability and weather conditions
- •Integrated Google Maps API for geospatial data and real-time availability heatmaps
- •Implemented predictive analytics charts using historical data
- •Successfully deployed on AWS EC2
- •Facilitated agile practices, managed project timeline and task allocation
November 2025
Heart Disease Risk Analytics Dashboard
Analytics dashboard leveraging big data for heart disease risk prediction with interactive visualizations.
HadoopHive SQLJavaScriptPython
Key Highlights
- •Analyzed 1,000+ records with data cleaning and feature engineering
- •Implemented SQL-based data preprocessing and rule-based risk scoring to identify demographic and risk-level patterns in patient data
- •Created visualizations communicating complex findings to non-technical stakeholders
Technologies I Work With
MicroservicesKubernetesKafkaReactRedisgRPCDockerSpring BootFlaskPostgreSQLNginxJWTOAuthJavaScriptpythonHTML/CSSRESTAWS EC2Chart.jsGoogle Maps APIHadoopHive SQLPython