Resume

AI/ML Engineer with 7+ years across production ML, data platforms, and MLOps.

Strong Python engineer with experience in Databricks, PySpark, Delta Lake, MLflow, model validation, healthcare data workflows, Spark optimization, and AI/ML observability.

Core Skills

Python SQL Databricks PySpark Delta Lake MLflow Airflow Snowflake Data quality MLOps Model validation AI observability

Experience Summary

Senior Data Scientist, healthcare technology

2022 - Present

  • Support production ML and analytics workflows across healthcare risk, future-cost, and readmission use cases.
  • Build platform capabilities for ML pipelines, data quality, lineage, model versioning, and reproducible workflows.
  • Improve Spark and Databricks workflows through profiling, query refactoring, caching, and cluster tuning.
  • Create validation notebooks, run-tracking views, and operational handoff patterns for model workflow reliability.

Software Engineer - R&D, healthcare product engineering

2019 - 2022

  • Built ML and deep learning systems for healthcare document intelligence and structured information extraction.
  • Worked on NLP, model serving, computer vision, and internal tooling for model training and prediction workflows.
  • Contributed to microservices migration and Python-based service discovery and logging components.

Education

B.Tech. in Computer Science and Engineering, Jaypee Institute of Information Technology.