Bhuvaneswar

AI/ML engineer with 6+ years designing, building, and deploying production generative-AI and machine-learning systems in regulated finance and healthcare. Specializes in LLM applications and agentic AI — multi-agent orchestration, tool-calling, RAG, and MCP — backed by strong Python engineering and end-to-end MLOps across AWS, Azure, and GCP. Proven record taking AI from prototype to production: reducing query resolution time 30%, cutting manual review 60% through multi-agent automation, and delivering predictive models that improved forecasts 18% and saved ~$1.2M annually.

Master's in Computational Data Science (Purdue University).

AI/ML Engineer - New York Life Insurance - Remote, USA

(2024-10)

• Designed and deployed domain-specific LLM and RAG systems for policy advisory and customer engagement, cutting query resolution time 30% and improving retrieval accuracy 22% via semantic vector search (Pinecone, FAISS).
• Architected multi-agent workflows (LangChain, LangGraph) with tool-calling and MCP integrations, automating underwriting and claims processing with human-in-the-loop review.
• Led development of churn and lifetime-value models improving customer-lifetime-value forecasts 18%, partnering with actuarial and marketing teams.
• Built end-to-end MLOps pipelines on AWS (SageMaker, Lambda) with MLflow, Docker, and CI/CD — reproducible experimentation, automated evaluation, and drift-triggered retraining.
• Delivered executive dashboards (Power BI on Snowflake); implemented observability (Prometheus, Grafana) cutting debugging time 25%; mentored junior engineers on explainability and MLOps standards.

Machine Learning Engineer - Tata Consultancy Services - Hyderabad, India

(2021-10 - 2023-06)

• Led a 5-member team productionizing healthcare NLP and RAG systems on Azure ML and Kubernetes, cutting deployment cycles 40%.
• Developed NLP entity-recognition and classification models (Hugging Face, TensorFlow) reaching 94% accuracy; owned evaluation methodology and error analysis.
• Built RAG document-intelligence solutions (Azure Cognitive Search + LangChain) accelerating clinical retrieval 35%; methodology whitepaper adopted across 3 client accounts.
• Developed backend services and APIs (Python, Java) and CI/CD pipelines (Azure DevOps), shortening delivery cycles 25%.

Data Scientist - Omega Healthcare Management Services - Chennai, India

(2019-01 - 2021-09)

• Built claim-denial and readmission-risk models (Scikit-learn, XGBoost) on messy real-world data, tuning precision/recall thresholds — reduced reprocessing 22%, saving ~$1.2M annually.
• Developed a GraphSAGE graph neural network for real-time fraud and anomaly detection over relational transaction data.
• Engineered real-time streaming pipelines (Kafka, PostgreSQL, Airflow) processing 50K+ records daily for training and inference.
• Built NLP models for medical text summarization and ICD code extraction; conducted fairness and bias evaluations; deployed via Docker and Kubernetes.

Master of Science - Computational Data Science - Purdue University (2023-08 - 2025-05)

B.Tech - Electronics and Communication Engineering - Adikavi Nannaya University (2017-06 - 2021-05)