Passionate and results-driven Senior Backend Engineer with 4+ years of experience in Python 🐍, Django 🎯, AWS ☁️, and DevOps 🛠️. Proven expertise in delivering high-performance web applications and seamless RESTful API integrations. Skilled in optimizing database models, implementing secure authentication mechanisms, and ensuring efficient deployment using Docker 🐳 and AWS services. Eager to take on new challenges and contribute to innovative projects in the software industry. 🚀

• Developed and implemented new features for the IT product, enhancing functionality and user experience.
• Designed, created, and maintained API endpoints to ensure seamless integration with front-end applications, focusing on security, efficiency, and comprehensive documentation.
• Debugged and resolved issues by analysing root causes, suggesting solutions, and implementing fixes to maintain system stability and performance.
• Authored detailed test cases and conducted unit testing to ensure robust functionality and reliability of new features.
• Reviewed code contributions from team members, ensuring adherence to project standards and providing constructive feedback for improvements.
• Documented development processes, feature specifications, and troubleshooting guides to maintain clear and comprehensive project documentation.

• Developed and maintained Django-based ETL platform, increasing data processing efficiency by 15%.
• Managed and resolved an average of 20 JIRA issues per week, ensuring timely resolution and task assignment.
• Achieved 99.9% uptime rate for production environment through prompt issue resolution.
• Collaborated with cross-functional teams to achieve a 20% decrease in post-deployment issues and bugs.
• Incorporated client feedback to implement new features, enhancing the ETL platform's capabilities.

• Built 10 Django & Flask based web applications to cater to diverse user needs.
• Leveraged REST API calls to integrate with 5 external systems or services seamlessly.
• Reduced deployment time by 30% by implementing applications using GitHub actions on AWS EC2.
• Spearheaded internal application development, leading to an 80% reduction in manual workloads.

• Constructed an ESP32-based hardware system for real-time patient health monitoring.
• Developed Android app and Django-based web dashboard for live parameter monitoring.
• Ensured data synchronization and integration between systems through REST API calls.
• Processed health data in HL7 format to adhere to international standardization.

Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT | Aug 2019 - Jul 2021

College of Engineering and Management, Kolaghat 107 | Aug 2015 - Jul 2019

• CI/CD Automation Platform: Managed resources in the pipeline using Python Django-based dashboard and Docker in AWS ECS.
• AWS Resource Creation: Streamlined resource creation in AWS using Flask, Boto3, and Terraform.
• Grafana Dashboard for Monitoring VM and Containers: Real-time monitoring of virtual machines and containers using Python3, Grafana, and Prometheus.

• A Comparative Study of Myocardial Infarction Detection from ECG Data using Machine Learning: Researched and analyzed advanced ML techniques for myocardial infarction detection from ECG image data.

• Python • Django • Flask • AWS • Docker • Terraform • MySQL • Git • DevOps

• Email: aritrachakraborty0124@gmail.com
• LinkedIn: linkedin.com/in/aritrachakraborty1
• GitHub: github.com/Aritra0124