Worked on instant messaging enabling End-to-End encryption like Whatsapp and protocol by integrating Signal library, chats delete feature, editing messages in real time, backing up messaged in Db over a duration of week.Designed and created whole video Recommendation system based on real time interactions of Data by user like Instagram reels and you-tube shorts. By using cloud services like Aws Rekognition ,transcribe and comprehend for collecting data and storing user-Interaction for training the model.Working experience with cloud development kit (CDK), codecatalyst, development environment for producing industrial level code and unit testing.

*Designed whole Backend end-to-end API's in Django Restframework for Data Ingestion via ETL processPipelines created Using pandas, numpy for data Manipulation and transforming them into dataframes and temporarily storing them Apache Hudi tablesAdapting to Datalake increased our flow efficiency by 25% as compared to Amazon AWS S3, and using Airflow for scheduling and automating the process saved manual uploading of files.Storing meta-data in MongoDB using Django's efficient ORM and models. Learning about data replication, backup and cache databases like redis for improving query performance.

Designed and integrated API's as per client requirements for login/Sign-up Authentication system , session management using Django Framework Used tkinter for creating small UI application windows like snake game, quiz, ping-pong, and also worked on pythons library like seaborn and matplotlib for visualization of data.Also worked on Machine learning and AI field using python's tensorflow and keras for creating neural networks and imagine recognition task like boundary detection. Used kaggle, rapido and UBC datasets and created data ingestion pipelines.