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I am an AI Engineer specializing in Generative AI and agentic AI, with 9+ years delivering production-grade AI solutions across insurance, healthcare, and financial services. I architect end-to-end GenAI and RAG pipelines, fine-tune LLMs, and orchestrate multi-agent workflows to automate underwriting, claims processing, clinical decision support, and risk analytics. I emphasize governance, reliability, and collaboration with product, actuarial, clinical, risk, and compliance teams to translate complex regulatory requirements into scalable, auditable AI platforms. I enjoy mentoring teams and driving enterprise GenAI adoption with measurable business impact.…I am an AI Engineer specializing in Generative AI and agentic AI, with 9+ years delivering production-grade AI solutions across insurance, healthcare, and financial services. I architect end-to-end GenAI and RAG pipelines, fine-tune LLMs, and orchestrate multi-agent workflows to automate underwriting, claims processing, clinical decision support, and risk analytics. I emphasize governance, reliability, and collaboration with product, actuarial, clinical, risk, and compliance teams to translate complex regulatory requirements into scalable, auditable AI platforms. I enjoy mentoring teams and driving enterprise GenAI adoption with measurable business impact.

Chetan Sai Vineeth

AI Engineer, Data Scientist, Data Analyst, +2

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I am an AI Engineer specializing in Generative AI and agentic AI, with 9+ years delivering production-grade AI solutions across insurance, healthcare, and financial services. I architect end-to-end GenAI and RAG pipelines, fine-tune LLMs, and orchestrate multi-agent workflows to automate underwriting, claims processing, clinical decision support, and risk analytics. I emphasize governance, reliability, and collaboration with product, actuarial, clinical, risk, and compliance teams to translate complex regulatory requirements into scalable, auditable AI platforms. I enjoy mentoring teams and driving enterprise GenAI adoption with measurable business impact.…I am an AI Engineer specializing in Generative AI and agentic AI, with 9+ years delivering production-grade AI solutions across insurance, healthcare, and financial services. I architect end-to-end GenAI and RAG pipelines, fine-tune LLMs, and orchestrate multi-agent workflows to automate underwriting, claims processing, clinical decision support, and risk analytics. I emphasize governance, reliability, and collaboration with product, actuarial, clinical, risk, and compliance teams to translate complex regulatory requirements into scalable, auditable AI platforms. I enjoy mentoring teams and driving enterprise GenAI adoption with measurable business impact.

Available to hire

I am an AI Engineer specializing in Generative AI and agentic AI, with 9+ years delivering production-grade AI solutions across insurance, healthcare, and financial services. I architect end-to-end GenAI and RAG pipelines, fine-tune LLMs, and orchestrate multi-agent workflows to automate underwriting, claims processing, clinical decision support, and risk analytics.

I emphasize governance, reliability, and collaboration with product, actuarial, clinical, risk, and compliance teams to translate complex regulatory requirements into scalable, auditable AI platforms. I enjoy mentoring teams and driving enterprise GenAI adoption with measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Gen AI Engineer at Liberty Mutual Insurance

April 1, 2025 - Present

Architected production-grade LLM solutions using OpenAI, Vertex AI, Anthropic Claude, and LLaMA for insurance-specific tasks (policy interpretation, eligibility, claims summarization); designed domain-specific fine-tuning pipelines with LoRA/QLoRA; built enterprise RAG pipelines with FAISS/Pinecone; engineered multi-agent AI systems using LangGraph, LangChain, and MCP; established enterprise prompt engineering standards, versioning, and evaluation frameworks; integrated GenAI with core insurance systems via REST APIs and microservices; designed data pipelines with Kafka, Airflow, Spark; deployed on GCP Vertex AI; implemented LLMOps/MLOps, monitoring, and automated retraining; governance features including SHAP/LIME, PII masking, RBAC; created observability using LangSmith; supported regulatory compliance with audit trails; mentored engineers; collaborated with product, actuarial, legal, and compliance.

Gen AI/Data Scientist at Goldman Sachs Group

October 1, 2023 - March 1, 2025

Designed and deployed enterprise GenAI solutions to automate financial research synthesis, document summarization, and client reporting; built RAG architectures with Azure AI Search, FAISS, Pinecone; orchestrated multi-step Agentic AI workflows with LangChain/LangGraph; implemented prompt engineering and evaluation frameworks focusing on hallucination detection and output consistency; applied financial NLP techniques (sentiment on earnings calls, NER on SEC filings, topic modeling) for structured signals; built and fine-tuned ML/deep learning models for risk modeling, portfolio analytics; integrated with kdb+ time series; processed large-scale data with Python, PySpark; built streaming pipelines (Kafka, Kinesis) for real-time data; NLQ-to-SQL; deployed on Azure; CI/CD with GitHub Actions; monitoring with Azure Monitor; governance with PII masking and audit logging; dashboards for leadership.

AI/ML Engineer at Vanguard

July 1, 2021 - September 1, 2023

Designed production ML solutions for investment decision making, portfolio risk, and member behavior; built models with XGBoost, Random Forest, BERT, TensorFlow, and PyTorch; end-to-end data pipelines with PySpark, Databricks; batch and real-time inference with MLflow; implemented A/B testing and governance with SHAP/LIME; piloted LLMs for workflow triage; optimized GenAI costs; developed data pipelines in Snowflake/Hive; dashboards in Power BI/Tableau; ensured SOX/GDPR compliance; mentored teams and established CI/CD with Docker/Kubernetes.

Data Scientist at Johnson & Johnson

September 1, 2019 - June 1, 2021

Developed clinical ML models for patient risk stratification and treatment effectiveness; applied NLP to clinical notes; ETL pipelines using AWS Glue and Airflow; HIPAA compliance; deployed models with AWS SageMaker; SHAP explainability; built HIPAA-compliant RAG pipelines with PII/PHI masking and audit logging; dashboards in Tableau/Power BI; collaborated with pharma R&D teams on data pipelines for drug development.

Data Analyst at Max Healthcare – Hyderabad, India

June 1, 2016 - May 1, 2019

Analyzed healthcare and revenue cycle management data; developed SQL queries, stored procedures, and MIS reports for billing, claims, denial management; built ETL pipelines using PySpark; processed IoT sensor data from hospital equipment; created REST APIs with Flask; dashboards with Grafana and Power BI; implemented data governance, schema evolution, and audit-ready documentation; integrated with hospital IoT/SCADA systems.