MAHAMMAD ALTAF TAPPA

Experienced MLOps Engineer with a strong record in designing and building scalable MLOps applications. Skilled in all aspects of the ML pipeline, including data engineering, statistical data analysis, feature creation and repository, ML model selection, deployment, and monitoring. Notable achievements include designing and building a complete ML system for predicting likelihood in-house text translations through T5 language models. Proficient in automating ML pipelines for healthcare datasets like ClinicalTrials, using Big Data technologies. Adept at data engineering Medallion Architecture using PySpark in Azure Synapses to create a unified database for Machine Learning models and business applications. Experienced in building ML pipelines using SKLearn and tracking experiments with MLFlow. Utilized ML algorithms like Random Forest, XGBoost, and Adaboost to optimize model performance and deploy approved models into production as endpoints. Additionally, responsible for setting up GitLab for version control and configuring automated CI/CD pipelines on Premise Kubernetes/AKS. Proficient in Dockerizing, deploying, and monitoring multiple instances of Python FastAPI and Dash (UI) applications on Azure WebApp. Extensive experience working on MVP projects involving Transformer, Sentence transformer, and BERT for NLP applications.

• IQVIA, 08/2017 - Present, Middleware/Application Support and AI Engineer
• Mphasis, 06/2016 - 07/2017, Middleware and Appian Admin
• Birlasoft, 10/2013 - 06/2016, Middleware Admin

• Pan Number: AIJPT4398R
• Passport Number: J0651248
• Father's Name: Rahammath Hussian T
• Date of Birth: 05/10/89
• Marital Status: Single