Developed an Automated ML Engine for a company in worlds top 20 foodbeverage segment.1. Initially the team I joined was based around Dynamics365. Because of my priorpython, django and ML experience my manager gave me the opportunity towork on this project.2. Developed planner dashboard for Demand planners through which they couldreduce the planning time from hours to minutes(Previously the work was donemanually).3. Used Azure AutoML to automate the ML Engine. Automatic training anddeployments after a set interval based on parameterization to decrease thework of data scientists. Automatic hyperparameter tuning increased theaccuracy of the models and decreased the time data scientist spend on creatingand tuning models.4. Developed SKU rationalization logic for the stocks which was done manually inexcel before.5. Integrated this product with microsoft dynamics365 for automatic generationof forecasts and then feeding to vendon API for replenishment.6. Integrated PowerBI with the platform for Industry standard graphs.7. As I had technical expertise on the stack i was working on I was included in sales meetings with clientsand I have sold the project I built with some changes to a company in worlds top 5 foodbeverage segment Also this project was bought by a company in worlds top 5tire selling segment.8. I have trained two resources in Django, celery, Docker, redis, postgres because of so many clients showingintrest for the solution.

Picked up almost 20 projects in Django, Django rest framework.Key technologies worked on:1. Implemented a Secure file sharing platform using Django and Nginx internal redirects dealing with file size up to 5GB at once.2. Implemented many rest APIs using Django rest framework exposing various client databases.3. Implemented custom authenticated systems including but not limited to session-based, token-based, and all auth.4. Containerized applications in Docker environment with images such as not limited to celery, Postgres, etc.5. Deployed the applications in - Custom VMs using tools like Gunicorn and Nginx. - Azure app service implementing CI/CD with Azure DevOps in docker. - Implemented SSL with certbot in docker containers.6. Worked with Azure Blob Storage to serve various media files.