Software Developer at Garda Capital Partners

Worked on the Real-Time Trading Dashboard, collaborating with cross-functional teams in an Agile environment. Led requirement gathering sessions, improving feature delivery efficiency by 30%. Built frontend with React.js using React Query, advanced hooks, and Socket.IO for live updates; developed real-time charts with D3.js, increasing user engagement by 22%. Optimized hybrid database architecture on AWS with RDS and DynamoDB, enhancing security with AWS KMS and IAM, reducing risks by 40%. Developed backend APIs using Python and FastAPI, integrated Redis caching reducing response times by 25%, and used Celery for background tasks improving system reliability by 30%. Conducted unit testing with Jest and pytest achieving 90% coverage. Implemented CI/CD using AWS CodePipeline and GitHub Actions, reducing manual deployments by 35%. Deployed the dashboard on AWS Elastic Beanstalk and ECS with CloudFormation for infrastructure as code, ensuring 99.9% uptime.

Associate Software Developer at FedEx

Developed Real-Time Shipment Tracking Dashboard collaborating with Product, QA, and UX teams in Agile setup, improving delivery accuracy by 18%. Built backend services with Node.js and Express.js handling API requests and push notifications using WebSocket, increasing sync efficiency by 22%. Designed optimized MongoDB schemas with indexing and aggregation pipelines, reducing data latency by 35% and boosting backend performance by 20%. Created dynamic React.js frontend with WebSocket for live updates, adding route visualization, status indicators, and ETA tracking. Conducted A/B testing increasing user engagement by 27%. Integrated security protocols including OAuth 2.0 and Helmet.js reducing system vulnerabilities by 32%. Developed tests using Jest and Mocha achieving 95% code coverage. Implemented CI/CD workflows through Jenkins and GitHub Actions, cutting deployment issues by 40%. Managed AWS production and staging environments with Docker and Kubernetes, ensuring 99.9% uptime and ze

Software Developer at Garda Capital Partners

Worked on the Real-Time Trading Dashboard, collaborating with cross-functional teams including Product, UX, and QA, following Agile methodology. Led requirement gathering sessions using JIRA and Confluence, improving feature delivery efficiency by 30%. Built the frontend using React.js with React Query for data fetching, and advanced hooks like useContext and useReducer for state management. Integrated Socket.IO for live data updates. Developed real-time price charts using D3.js, and led A/B testing, increasing user engagement by 22%. Optimized the hybrid database architecture on AWS, combining RDS for transactional data and DynamoDB for scalable, real-time access. Enhanced database security using AWS KMS for encryption and IAM for access control, reducing security risks by 40%. Created the backend with Python and FastAPI for high-performance API responses. Integrated Redis for caching live market data, reducing API response times by 25%. Used Celery for background tasks like data refr

Associate Software Developer at FedEx

Developed Real-Time Shipment Tracking Dashboard by collaborating with Product, QA, and UX teams using Agile methodology and requirement gathering sessions through JIRA and Confluence, which improved delivery accuracy by 18%. Built backend services using Node.js and Express.js to handle API requests and core logic. Implemented push notifications for status changes and real-time updates using WebSocket, increasing sync efficiency by 22%. Designed optimized MongoDB schemas for storing shipment logs and metadata. Implemented indexing and aggregation pipelines which reduced data retrieval latency by 35% and boosted backend performance by 20%. Built dynamic frontend using React.js with WebSocket for live updates. Added features like route visualization, status indicators, filtering options, and ETA tracking. A/B testing led to a 27% increase in user engagement. Integrated security protocols using OAuth 2.0, HTTPS, and Helmet.js. Ensured compliance with FedEx data protection standards and glo

Software Developer at Garda Capital Partners

Led the Real-Time Trading Dashboard project, collaborating with Product, QA, and UX teams. Implemented frontend features with React.js, React Query, and WebSocket (Socket.IO); integrated D3.js for interactive visuals. Built backend APIs with FastAPI and Python, using Redis caching, async processing, and robust error handling for low-latency data delivery. Integrated OpenAI GPT-4 to generate real-time trading insights, with secure, rate-limited API access. Architected a hybrid cloud database solution (AWS RDS PostgreSQL and DynamoDB) with indexing and backups; strengthened security via KMS encryption and fine-grained IAM. Achieved 90%+ unit and integration test coverage; automated full-stack deployment using AWS Elastic Beanstalk, ECS, and CloudFormation; established CI/CD pipelines with GitHub Actions and AWS CodePipeline, ensuring 99.9% uptime.

Software Developer at FedEx

Led Real-Time Shipment Tracking Dashboard development, collaborating with Product and QA teams in Agile ceremonies. Built scalable backend REST APIs with Node.js, Express.js, and Redis caching with rate limiting. Implemented real-time event notifications, logging, and error handling to improve throughput under heavy shipment data loads. Developed frontend features with React.js and WebSocket for live updates, route visualization, and dynamic ETA tracking, boosting user engagement. Designed MongoDB schemas with sharding and indexing; secured APIs with OAuth 2.0, TLS, Helmet, and RBAC. Maintained 95%+ test coverage (Jest, Mocha) and automated CI pipelines (Jenkins, GitHub Actions) for stable releases.

Software Developer at Garda Capital Partners

Led the Real-Time Trading Dashboard project, collaborating with Product, QA, and UX teams. Gathered detailed requirements using JIRA and Confluence, improving clarity and speeding delivery by 30% in an Agile Scrum environment. Developed frontend features with React.js, React Query, and Socket.IO for live market updates; integrated D3.js for interactive financial visualizations to boost engagement. Engineered backend APIs with FastAPI and Python, including Redis caching and asynchronous processing to deliver low-latency, high-frequency data. Integrated OpenAI GPT-4 to generate real-time trading insights, halving manual analysis time with secure, rate-limited API access. Architected a hybrid cloud data solution using AWS RDS (PostgreSQL) and DynamoDB, enhanced security with AWS KMS and IAM, and achieved 90%+ unit/integration test coverage. Automated deployment with Elastic Beanstalk, ECS, and CloudFormation; built CI/CD pipelines with GitHub Actions and AWS CodePipeline, cutting deployme