Instructing tech aspirants in core Computer Science algorithms, data structures and modular object-oriented coding standards.

Guiding tech aspirants as an online mentor for the e-learning team.

DevOps, Site Reliability Team (Backend)- Working on AWS, Terraform scripts and maintenance of the infrastructure of microservices * Wrote boilerplate terraform for AWS modules * Automated the GitHub access permissions for the entire organization in Terraform- Improving the features, compatibility and efficiency of services in Golang * Added Golang templating for Zomato internal and external SMS for the majority of the global SMS traffic *… Show more DevOps, Site Reliability Team (Backend)- Working on AWS, Terraform scripts and maintenance of the infrastructure of microservices * Wrote boilerplate terraform for AWS modules * Automated the GitHub access permissions for the entire organization in Terraform- Improving the features, compatibility and efficiency of services in Golang * Added Golang templating for Zomato internal and external SMS for the majority of the global SMS traffic * Organized SMS templates by services for easy collection of volumetric statistics * Rewrote PHP workers for efficient async SMS pool with templates- Scripting in shell and Python for easy execution of automation tasks * Reduced toil in writing 5000+ loc configuration files for integration in CI/CD pipeline * Cleaned up the Zomato countries database and added unique identification via ISO-Alpha 3 standards Show less

• Worked on real-time industrial fault detection problems using Computer Vision algorithms, coupled with deep neural nets to automate the process of large-scale error control in factories using simple cameras.• Formulated an efficient novel region-based adaptive Hough Transform approach to detect perfectly circular cross-section of pipes in a pipe stack while leaving deformed pipes undetected using smartphone cameras for automatic defect detection, product inspection and… Show more • Worked on real-time industrial fault detection problems using Computer Vision algorithms, coupled with deep neural nets to automate the process of large-scale error control in factories using simple cameras.• Formulated an efficient novel region-based adaptive Hough Transform approach to detect perfectly circular cross-section of pipes in a pipe stack while leaving deformed pipes undetected using smartphone cameras for automatic defect detection, product inspection and counting.Advisor: Dr. B. B. Chaudhuri, Professor, and Head of Computer Vision and Pattern Recognition (CVPR) Lab, ISI KolkataTopics: Computer Vision, Deep Learning, Machine Learning, Image Processing, Pattern Recognition Show less

• Built and deployed an automated solution of setting up, saving, tearing down and restoring Redis clusters on cloud services (AWS).• Implemented a Dockerized architecture of backup and restoration of Redis cluster on multiple EC2 instances in synchronization with S3 buckets.