Led development, and deployment of cutting-edge generative AI and RAG (Retrieval Augmented Generation) capabilities, seamlesslyintegrating them into the applications of 4 clients.Delivered technical support to over 20 client teams for feature implementation, troubleshooting, debugging, and resolvingproduction issues

Designed and implemented Python-based API and Django applications, incorporating Celery for streamlined automation processes. Successfully integrated third-party services to enhance overall system functionality.

Authored and maintained the Slydo SDK (Python) and command line tool. Collaborated closely with engineers from 2 third-party services and and automated manual processes using cron jobs deployed to AWS ECS instances.

- Achieved 81% accuracy detecting and classifying sarcasm on 1.1M+ social media comments.- Participated in group learning and projects on Deep Learning, Natural Language Processing etc.

1. Designed and implemented a resilient backend system for BasketFi's financial education app, utilizing Django Rest framework and PostgreSQL, ensuring secure financial transactions and educational content delivery.2. Orchestrated the deployment of the financial education app on AWS infrastructure, optimizing performance with EC2 instances, and enhancing data management efficiency using AWS S3, resulting in a seamless user experience.3. Spearheaded the development of Hoops Genesis Sports Events Booking Website, a dynamic Django-based platform, streamlining event booking processes and user interactions, while maintaining data integrity through PostgreSQL.4. Leveraged AWS services to enhance the Sports Events Booking Website's scalability and reliability, using AWS S3 for efficient file management, ultimately providing sports enthusiasts and event organizers with a dependable and user-friendly solution.