• Developed spatial data processing workflow using AWS Step Functions and Docker to generate Digital Elevation Models.• Migrated containers to Amazon ECR for increased scalability and reliability• Built AWS Lambda functions using Custom Runtime and enhanced Django application for report processing from Digital Elevation ModelsFile.• Designed automated settlement service, reducing manual labor by 70%.• Developed authentication systems enabling secure communication for multi‑tenant SAAS for 20‑50 companies.• Researched and implemented algorithm to process 500,000 geo‑locations from lidar sensors utilizing Celery and Redis to reduce to 5000locations for performant visualization.• Contributed to documentation; optimized ORM queries reducing frontend latency by 65%.• Implemented Trustly payment gateway API integration, reducing manual payment tracking by 100%.• Developed a solution for dynamic AWS S3 bucket assignment at runtime for each tenant request to override Django’s limitations with multitenantAWS S3 bucket support.• Implemented Pytest unit testing framework covering 50% of the codebase functionality through automated tests

• Building scalable REST API for smartphone and SAAS using Laravel & JWT-based auth using solid pattern and Handled API design and decreased API response time significantly.•Optimized memory usage by using caching, database queries, codebase structures, MVC design patterns, and quality of CakePHP codebase for certain spikes to serve 30000 concurrent users.• Presenting Queue to the team and decreased 50% SMS/Email notification failure rate.• Co-led a team of 4 engineers to develop REST API end points for 3 services to communicate each other seamlessly.• Converting the legacy codebase from CakePHP to Laravel notably shorten development time.• Implementation of the latest Single Sign-On module which uplifted users satisfaction level by 50%.• Authored new features and UI enhancements and designed a complex codebase to consume third-party APIs.• Took R&D effort and Introduced first-time API Gateway (kong) to the team.• Collaborted with the product team to provide suggestions and help shape the strategy for new features.

Work closely with a team of the researcher to ensure accurate integration of word embedding models for the Bengali language. Use machine learning and deep learning models to develop and evaluate algorithms to improve the performance of different NLP problems for the Bengali language. Built a static website for the lab from scratch.