Sameer Siddiqui

Key Responsibilities:

• Built custom GPT-based model from open source GPT Models and trained it on company data, that anyone can use to remove redundant tasks and improve work efficiency and time wastage
  in repeating functions that need to be done daily like generating reports, fetching data,
  insights about data and many other tasks.
• To Set up Machine Learning Pipelines in Azure Workspace, Extract data from Azure data repository, Load it into database, and transform it before using it further. Clean data, perform Exploratory Data Analysis, figure out Target Variable based on available data, and divide it into Training, Validation, and Test data. Choose Metric to Evaluate ML model, build Baseline model in Azure Machine Learning, and perform cross-validation.
  Optimize performance of ML model using techniques like Feature Engineering and Hyperparameter Tuning. Deploy Machine Learning Model Using Azure Kubernetes Service (AKS) for business end-users.
• Deployed 100+ Data Pipelines to gather Real-Time/near Real-Time data from various incoming sources and store it to provide central sources of data that anyone can access and use easily.
• Created bots to perform daily tasks, testing and executing codes at given time with predefined conditions.

• Developed Django and Flask applications using Python, writing Python code in Django for features such as Custom User creation, User Registration, and Authentication Using Social platforms such as Google, Facebook, and X.
• To create custom Models in Django for storing information in DB and write Rest API in Django using Django Rest Framework and custom Flask APIs
• Created Docker Container, used code for Django and Flask inside Docker container, and deployed it.