> Architected and implemented the design of the data pipelines as the founding AI Engineer, optimising data processing workflows and ensuring robust data integration.> Designed and implemented ML models on Azure for various illnesses using EMR data, achieving predictive accuracy of at least 85% for screening and quick diagnosis.> Developed Health Insurance Fraud Detection and Claim Prediction tools for integration with insurance companies.> Applied LLM techniques to generate detailed reports and analyses from patient data, including NER, summarization, sentiment analysis, and model fine-tuning.>Implemented PEP-8 best practices to develop an organisation-wide Python code structure, ensuring code consistency and quality.

> Worked for PowerProtect Data Manager in the SAP HANA team in the development of enhancements and customer-required features.> Worked on automation development on the QA side along with experience in performing API, Regression and manual testings.> Additional role of Security Champion for SAP HANA team with experience in code vulnerability assessments with BlackDuck Scans, Nessus / Qualys Scans, SBOM Reports, and Sonarqube.