Mahima Chaudhary

Mahima has extensive MLOps and LLMOps experience with a background in feature engineering and modeling. She has worked on projects across aviation, healthcare, insurance, and financial institutions.

Machine Learning Architect, Slalom Build, Apr 2022-Present

• Developed an LLMOps pipeline integrating Azure services for efficient model deployment.
• Built a RAG-based chatbot for querying SharePoint and Cosmos DB on Azure.
• Created an AWS-based drift monitoring pipeline, improving prediction reliability.

Applied Machine Learning Researcher, PointClickCare Technologies, May 2021-Apr 2022

• Developed a predictive model for 7-day hospital readmission, achieving AUC ROC of 0.8 and AP of 0.38, higher than human baseline.
• Enhanced entity extraction in lab notes using NLP, improving model accuracy.

• Wearable Headbands for Color Detection
• Anomaly Detection Algorithms
• Data Analytics for Toronto Accidents

• ML Architecture for IoT
• Brain Dynamics for Color Perception
• Sabotage Detection Using Deep Learning

• SnowPro Core Certification (Nov 2024)
• GCP Professional Machine Learning Engineer (Dec 2022)
• A Cloud Guru's AWS Machine Learning Specialty (May 2022)

• York Graduate Fellowship (2019-21)
• Mitacs Graduate Fellowship (2019-2020)
• Mitacs Globalink Research Internship (2018)

• Python, Java, LLMOps, MLOps, Prompt Engineering, Airflow, Pyspark, Tensorflow, Scikit-Learn, Keras, Pytorch, Flask, SQL, Spark SQL, Javascript, Angular, HTML, CSS, Docker, Kubernetes, Tableau, AWS, Azure, GCP, Snowflake, Databricks

Email: mahimachaudhary966@gmail.com

LinkedIn: linkedin.com/in/mahima-chaudhary

GitHub: github.com/cmahima

Google Scholar: scholar.google.com/mahima