Designed, engineered, and maintained an end-to-end MLOps system for predictive analytics on large healthcare datasets, including data processing, model creation, and containerized deployment on the cloud, with monitoring and ethical AI practices. Implemented ML solutions for churn prediction and sentiment analysis, and established an API layer for model outputs using Django REST Framework.

AI/ML/Python Developer at ServiceLink

August 1, 2024 - May 1, 2025

Engineered a scalable AI Platform leveraging AWS Bedrock and SageMaker, enabling data scientists to reduce model deployment time by an estimated 30%. Implemented a robust data ingestion pipeline from Kafka to AWS S3 using AWS Lambda, ensuring 99.9% data availability. Mechanized schema discrepancy checks between RDS and Glue Catalog with Step Functions, and optimized data processing with PySpark in Databricks and Power BI.

Jr. Full Stack Python Developer at HCL

March 1, 2021 - August 1, 2023

Planned and implemented Django RESTful APIs to process patient data, appointment records, and lab results. Developed Angular-based dashboards, built ETL pipelines parsing XML/JSON with HL7/FHIR compliance, and enforced testing practices (PyTest, Robot Framework, Selenium). Containerized apps with Docker and deployed to Kubernetes, and built HIPAA-compliant authentication/authorization systems.