• Designed and deployed an LLM-powered chatbot integrated with Databricks workflows and Chroma vector DB, retrieving insights from 10M+ customer records, while implementing graph-based models, anomaly detection, and RAG pipelines to enhance explainability in credit, fraud, and claims analytics.

• Delivered Modular Context Packaging (MCP) framework improving GPT output consistency by 70%.

• Built CI/CD pipelines with GitLab, Docker, Kubernetes for secure retraining and deployment on Azure; optimized Databricks clusters with autoscaling and job scheduling, reducing compute cost by 30%.

• Integrated Azure ML with Databricks for production-scale retraining, processing 200M+ claims and QA records; developed dashboards (Tableau, Power BI) to track fraud KPIs and model accuracy.

• Built and optimized multi-agent RAG frameworks with LangChain & CrewAI to integrate APIs, SQL, and research papers for faster product insights, reducing AWS pipeline processing time by 40% through Spark/PySpark tuning.

• Designed A/B tests and quasi-experiments to measure recommendation model impact and influence product roadmap.

• Integrated OpenAI APIs with reinforcement learning loops for feedback-driven optimization; developed GPT-4 SQL assistant automating complex joins and aggregations.

• Deployed document translation app with Python, Docker, AWS; collaborated with product/marketing teams to define metrics, improve campaign conversions, and track ROI.

• Built ETL pipelines and SQL scripts to process 200M+ medical claim records using SQL, Hive, and PySpark; standardized data across payer systems for ML modeling and reduced manual cohort creation work by 35%.

• Engineered end-to-end ETL workflows using PySpark, SQL, and Airflow to process large-scale healthcare data, ensuring HIPAA compliance and improving data pipeline reliability by 30%.

• Developed dashboards (Tableau, Power BI) for provider anomalies, claims denial rates, and member risk scoring.

• Collaborated with actuaries, clinicians, and engineers on forecasting models for utilization, pricing, and fraud detection; implemented KPI monitoring and A/B testing frameworks.

• Revamped existing reporting and data management system utilizing SQL & Tableau reduced data redundancy by 38%

• Collaborated with Finance head to implement Zoho CRM and automate Business process augmenting the growth visibility by 24%

• Enhanced Database efficiency, Memory utilization, and improved System Functionality by 15%