- Worked on cloud-based services like Azure, AWS- Managed Docker orchestration and Docker container using Kubernetes- Used Kubernetes to orchestrate the deployment, scaling and management docker container- Experienced in deploying microservices, database changes

- Built personalized recommender system as a service for e-commerce, online travel, and music streaming.- Built an automatic expenses classification system in the field of supply chain specially related to procurement of direct and indirect expenses, help to reduce business cost.- Developed end-to-end algorithms for AI/ML models for different industries and scale them to run in production environments.- Automate dataflow infrastructure that the data science team use.- Collected, studies, and interpreted large datasets and build data ingestion, data transformation infrastructure, and management.- Setup and manage AI development and product infrastructure.- Lead and manage data science/engineer team, check performance, and responsibility for the overall development and research improvements. - Steer development and industrialization of IoT Solutions.- Designing, developing, deploying, and maintaining Machine Learning applications.- Strong working knowledge of cloud environment and tools, experience working with CI/CD implementation a microservice architecture.

- Design and Implement Company Supplier spend classification back-end ML server for classification and processing large scale data using Apache Airflow.- Working on the personalized recommendation system- scrap large amounts of data from various sources using Scrapy spider.- Working on different types of data analysis tasks.

Analyse and Optimization power consumption in Commercial facilities.- Create a tool for data visualized, data pattern collected from attached sensors.- Create a model for forecasting temperature and power consumption in commercial facilities.

During internship project my task : (NLP/ML)Analyze publicly available medical data for :- automatically tag diseases, diagnoses, and treatments from medical documents.- provide a graphical interface to edit and correct the same- store and map all extracted entities and relationships for further inferences