Architected and implemented full-stack solutions using the MERN stack (MongoDB, Express, React, Node.js) for

real-time parking management systems.

• Deployed scalable applications on AWS, leveraging services such as EC2, S3, Lambda, and RDS, ensuring high

availability and fault tolerance.

• Developed APIs for seamless communication between front-end React applications and back-end Node.js

microservices.

• Led the creation of CI/CD pipelines using GitHub Actions and AWS CodePipeline to automate deployment

processes.

• Collaborated with cross-functional teams to design and deliver user-centric dashboards with Tailwind CSS for

enhanced UI/UX

∗ Architected and deployed scalable full-stack solutions on AWS, leveraging services such as Lambda, DynamoDB,

and CloudFormation to support real-time parking management systems.

∗ Designed distributed systems to process and analyze large volumes of IoT and sensor data for anomaly detection

and predictive insights.

∗ Developed APIs with Node.js and Python to enable seamless communication between microservices and client

applications.

∗ Built CI/CD pipelines using GitHub Actions and AWS CodePipeline, automating deployments to ensure

operational efficiency.

∗ Monitored application health and performance with AWS CloudWatch, integrating logs and metrics for actionable

insights

Conducted testing and debugging of automated tools designed to optimize data processing for tax filing.

• Diagnosed and resolved software errors, connectivity problems, and compatibility challenges using remote support

tools.

• Created and maintained detailed technical documentation, including workflow diagrams, user interface layouts, and functional specifications, to support the development team.

Developed an interactive Python-based dashboard using Pandas and Matplotlib to analyze foot traffic data for

3,000+ daily visitors, leading to a 15% improvement in customer experience scores.

• Streamlined employee benefits processes by automating data entry and maintaining accurate records for 25+

employees, reducing processing time by 20 hours monthly.

• Assisted in deploying 3 new technology solutions at truck stops, including real-time monitoring systems and mobile

payment platforms, enhancing operational performance by 25%.