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Senior Generative AI/Agentic AI Engineer with 11+ years of experience building and deploying production-grade AI/ML and enterprise GenAI solutions in regulated industries. Hands-on expertise includes LLM applications, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines across banking, wealth management, healthcare, public health, and insurance. I architect secure, scalable, cloud-native AI platforms and reusable engineering frameworks using Azure OpenAI, Amazon Bedrock, OpenAI, LangChain/LangGraph, and modern MLOps/LLMOps practices. My focus is responsible AI, evaluation/monitoring, auditability, and delivering reliable copilots and intelligent automation that integrate with enterprise security and governance.…Senior Generative AI/Agentic AI Engineer with 11+ years of experience building and deploying production-grade AI/ML and enterprise GenAI solutions in regulated industries. Hands-on expertise includes LLM applications, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines across banking, wealth management, healthcare, public health, and insurance. I architect secure, scalable, cloud-native AI platforms and reusable engineering frameworks using Azure OpenAI, Amazon Bedrock, OpenAI, LangChain/LangGraph, and modern MLOps/LLMOps practices. My focus is responsible AI, evaluation/monitoring, auditability, and delivering reliable copilots and intelligent automation that integrate with enterprise security and governance.

Vishal Goniguntla

AI Engineer, Software Engineer, Data Scientist, +2

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Senior Generative AI/Agentic AI Engineer with 11+ years of experience building and deploying production-grade AI/ML and enterprise GenAI solutions in regulated industries. Hands-on expertise includes LLM applications, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines across banking, wealth management, healthcare, public health, and insurance. I architect secure, scalable, cloud-native AI platforms and reusable engineering frameworks using Azure OpenAI, Amazon Bedrock, OpenAI, LangChain/LangGraph, and modern MLOps/LLMOps practices. My focus is responsible AI, evaluation/monitoring, auditability, and delivering reliable copilots and intelligent automation that integrate with enterprise security and governance.…Senior Generative AI/Agentic AI Engineer with 11+ years of experience building and deploying production-grade AI/ML and enterprise GenAI solutions in regulated industries. Hands-on expertise includes LLM applications, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines across banking, wealth management, healthcare, public health, and insurance. I architect secure, scalable, cloud-native AI platforms and reusable engineering frameworks using Azure OpenAI, Amazon Bedrock, OpenAI, LangChain/LangGraph, and modern MLOps/LLMOps practices. My focus is responsible AI, evaluation/monitoring, auditability, and delivering reliable copilots and intelligent automation that integrate with enterprise security and governance.

Available to hire

Senior Generative AI/Agentic AI Engineer with 11+ years of experience building and deploying production-grade AI/ML and enterprise GenAI solutions in regulated industries. Hands-on expertise includes LLM applications, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines across banking, wealth management, healthcare, public health, and insurance.

I architect secure, scalable, cloud-native AI platforms and reusable engineering frameworks using Azure OpenAI, Amazon Bedrock, OpenAI, LangChain/LangGraph, and modern MLOps/LLMOps practices. My focus is responsible AI, evaluation/monitoring, auditability, and delivering reliable copilots and intelligent automation that integrate with enterprise security and governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Generative AI / Agentic AI Engineer at Morgan Stanley

March 1, 2023 - Present

Owned solution direction for GenAI-enabled compliance and financial-intelligence workflows. Defined enterprise-grade architecture and engineering standards for document ingestion, retrieval, agent orchestration, structured generation, human review, and governed output delivery. Built multi-region cloud-native GenAI platforms on Azure using Azure OpenAI, Azure AI Search, Azure Databricks, AKS, Event Grid, Functions, and API Management. Implemented agentic LLM workflows on LangGraph with retrieval, validation, risk review, structured outputs, and human approval checkpoints. Developed enterprise RAG solutions (hybrid retrieval with BM25 + embeddings, reranking, metadata filtering, contextual compression, citation generation) and conversational/document-intelligence services including OCR and structured extraction. Advanced evaluation and rollout practices across prompt/model versioning, content safety, audit logging, monitoring, and controlled release. Conducted model behavior, hallucina

AI/ML Engineer at Ellevest Financial Services

January 1, 2021 - February 1, 2023

Enhanced a digital wealth-management platform to support investment discovery, portfolio risk evaluation, personalized recommendations, and informed financial planning. Analyzed structured and unstructured investment, market, and client/product data to develop predictive models and decision-support analytics. Built recommendation and semantic retrieval pipelines using sentence embeddings and transformer-based NLP. Evaluated model performance using A/B testing and controlled test sets. Developed portfolio-risk models and implemented NLP pipelines for entity extraction and sentiment analysis. Delivered technical solutions using Azure ML, security guidelines, code review/version control, and QA practices for a small team. Applied time-series/anomaly analysis with distributed data processing and advanced analytics tooling.

Sr. Data Scientist at State of Michigan Department of Health

June 1, 2018 - December 1, 2020

Built and improved internal AI chatbot and scheduling assistant for multilingual public-health program inquiries and citizen services. Trained and evaluated NLP models for entity recognition, intent classification, utterance routing, and conversational orchestration; migrated legacy pipelines to transformer-based architectures (BERT/DistilBERT/RoBERTa/Sentence Transformers). Designed scalable conversational AI integration using Dialogflow and cognitive services with secure API gateways, authentication, monitoring, and analytics dashboards. Implemented semantic search, sentiment analysis, and routed inquiries using intent mapping and confidence scoring. Developed Spark SQL/Databricks pipelines for governed analytics and data processing at scale. Also worked on public-health service analytics and OCR/computer-vision driven form extraction and case routing.

Data Scientist at Abbott, New Jersey

February 1, 2017 - March 1, 2018

Designed predictive and scientific product-analytics solutions using regulated healthcare/pharmaceutical data. Automated mapping of product-component relationships and built data-processing architecture to convert JSON to CSV for downstream enablement. Delivered healthcare ML solutions using Spark/MLlib, PyTorch, and scikit-learn for classification/regression/dimensionality reduction/clustering. Applied explainable AI (SHAP, LIME, feature importance) to support healthcare compliance and interpretability. Conducted data profiling and temporal pattern analysis for diagnostic features and collaborated with SMEs and database administrators to integrate datasets.

Software Engineer at Blue Cross Blue Shield, Michigan

June 1, 2015 - January 1, 2017

Implemented technical solutions for claims, member, provider analytics, healthcare portals, and early machine-learning enablement based on product/technical requirements. Enhanced data-collection and reporting using Python analytics and statistical modeling. Developed responsive web applications and healthcare portals using modern front-end frameworks and built robust back-end services (Python/Django) with SQL profiling/validation for reliable data exchange. Recommended and developed document and embedded-image-processing components for multi-source computer-vision workflows supporting claims and medical documentation. Built dashboards and visualizations in Tableau and supported scheduled processing using Shell/Bash.