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Senior AI Engineer with 6 years of experience building production-grade GenAI, agentic AI, RAG, and cloud-native enterprise applications across healthcare, government, finance, and supply chain domains. Hands-on background in C#/.NET 8, Python, TypeScript/React, Azure OpenAI, GPT-4o, and agent orchestration frameworks (Semantic Kernel, LangGraph, LangChain, LlamaIndex). Built HIPAA-compliant AI platforms for Texas HHS, delivering measurable impact including large-scale semantic search, high-throughput transaction processing, faster document lookup, reduced AI deployment cycles, and improved case handling efficiency through secure deployments on Azure and AWS.…Senior AI Engineer with 6 years of experience building production-grade GenAI, agentic AI, RAG, and cloud-native enterprise applications across healthcare, government, finance, and supply chain domains. Hands-on background in C#/.NET 8, Python, TypeScript/React, Azure OpenAI, GPT-4o, and agent orchestration frameworks (Semantic Kernel, LangGraph, LangChain, LlamaIndex). Built HIPAA-compliant AI platforms for Texas HHS, delivering measurable impact including large-scale semantic search, high-throughput transaction processing, faster document lookup, reduced AI deployment cycles, and improved case handling efficiency through secure deployments on Azure and AWS.

SAUREESH SAI

AI Engineer, Software Engineer, Data Scientist, +2

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Senior AI Engineer with 6 years of experience building production-grade GenAI, agentic AI, RAG, and cloud-native enterprise applications across healthcare, government, finance, and supply chain domains. Hands-on background in C#/.NET 8, Python, TypeScript/React, Azure OpenAI, GPT-4o, and agent orchestration frameworks (Semantic Kernel, LangGraph, LangChain, LlamaIndex). Built HIPAA-compliant AI platforms for Texas HHS, delivering measurable impact including large-scale semantic search, high-throughput transaction processing, faster document lookup, reduced AI deployment cycles, and improved case handling efficiency through secure deployments on Azure and AWS.…Senior AI Engineer with 6 years of experience building production-grade GenAI, agentic AI, RAG, and cloud-native enterprise applications across healthcare, government, finance, and supply chain domains. Hands-on background in C#/.NET 8, Python, TypeScript/React, Azure OpenAI, GPT-4o, and agent orchestration frameworks (Semantic Kernel, LangGraph, LangChain, LlamaIndex). Built HIPAA-compliant AI platforms for Texas HHS, delivering measurable impact including large-scale semantic search, high-throughput transaction processing, faster document lookup, reduced AI deployment cycles, and improved case handling efficiency through secure deployments on Azure and AWS.

Available to hire

Senior AI Engineer with 6 years of experience building production-grade GenAI, agentic AI, RAG, and cloud-native enterprise applications across healthcare, government, finance, and supply chain domains. Hands-on background in C#/.NET 8, Python, TypeScript/React, Azure OpenAI, GPT-4o, and agent orchestration frameworks (Semantic Kernel, LangGraph, LangChain, LlamaIndex).

Built HIPAA-compliant AI platforms for Texas HHS, delivering measurable impact including large-scale semantic search, high-throughput transaction processing, faster document lookup, reduced AI deployment cycles, and improved case handling efficiency through secure deployments on Azure and AWS.

Skills

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Intermediate

Work Experience

Senior AI Engineer at Deloitte Consulting LLP

May 1, 2024 - Present

Engineered a HIPAA-compliant HRAR Portal for Texas HHS using .NET 8, React/TypeScript, Azure OpenAI, and Azure AI services to support HIV/AIDS care workflows and improve case worker access to eligibility and healthcare data. Orchestrated LangGraph-based agentic workflows with conditional routing, persistent state management, and human-in-the-loop checkpoints for document classification, eligibility review, and exception routing. Configured Semantic Kernel agents with GPT-4o function calling and MCP tool interfaces to securely access HHSC APIs, PostgreSQL records, and internal healthcare data for real-time case validation. Architected RAG and GraphRAG pipelines using Azure AI Search, pgvector, embeddings, and reranking across 2M+ healthcare/regulatory documents, reducing manual lookup effort by 40%. Built an AI Copilot UI with async streaming from .NET services to deliver real-time summaries, document insights, and next-step guidance, improving case handling efficiency by 25%. Reduced t

Senior AI Engineer at Strider Technologies

December 1, 2022 - May 1, 2024

Embedded OpenAI/Azure AI/Hugging Face models into regulated financial workflows for anomaly detection, document summarization, and conversational analytics with monitored output quality. Built LangChain and LlamaIndex agentic pipelines with tool calling and multi-step reasoning to query financial databases, third-party APIs, and internal reporting systems. Developed Python agentic AI platform components including agent runtime, tool registry, MCP server integrations, A2A communication layer, and RAG infrastructure. Delivered serverless AWS workflows using Lambda, API Gateway, SQS, EventBridge, Step Functions, and DynamoDB to process high-volume transaction events with lower operational latency. Implemented secure REST and streaming APIs using Python/FastAPI and C#/.NET with JWT and OAuth 2.0 to support real-time AI delivery into React/TypeScript UIs. Automated AI service integrations via n8n, Docker, GitHub Actions, and Azure DevOps, improving deployment reliability and reducing manual

AI Engineer at Tecnics Integration Technologies

April 1, 2020 - November 1, 2021

Programmed secure banking applications using C#, ASP.NET Core Web API, Angular, TypeScript, and SQL Server to support core banking, customer servicing, and financial workflow modules. Secured OAuth 2.0/JWT authentication across banking APIs using Azure B2C. Enabled real-time transaction event processing with Kafka and AWS Kinesis for low-latency data movement supporting risk monitoring and downstream analytics. Integrated external banking APIs via REST and asynchronous JavaScript patterns to improve data exchange between customer-facing apps and backend services. Produced Power BI/Tableau/SSRS dashboards for transaction trends, operational KPIs, and regulatory reporting. Hosted applications on Azure App Service, Azure SQL, Blob Storage, and Service Bus to improve scalability and reliability. Applied SOLID and N-tier architecture to build reusable ASP.NET Core service layers and reduce duplication; maintained CI/CD automation with GitHub Actions, Terraform, Docker, and Azure DevOps for

Machine Learning Engineer at Globant

August 1, 2018 - March 1, 2020

Delivered enterprise web applications and REST APIs using C#, ASP.NET Core, React.js, and SQL Server for supply chain workflows and ML-driven shipment tracking features. Structured backend services using Clean Architecture and SOLID principles, improving maintainability and supporting independent deployment of ML components. Tuned SQL Server/Oracle objects and optimized queries to improve data processing efficiency for reporting and predictive logistics models. Built ETL pipelines and Apache Spark jobs to prepare shipment/inventory/operational datasets for BI and ML inputs. Embedded NLP-based document processing to reduce manual data entry effort by 50% for shipment documents and operational forms. Containerized ML microservices with Docker and supported Azure DevOps CI/CD; reduced environment setup time and improved release consistency. Refactored backend performance, reducing average response time from 800ms to 350ms during peak usage, and collaborated on API contracts to improve cli