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Agentic AI Engineer and Software Engineer with 12+ years of experience building enterprise-grade applications and AI/ML solutions across healthcare, insurance, retail, and telecommunications. Hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to automate multi-step tasks, improve decision support, and streamline operations. Strong foundation in Python, REST APIs, and scalable backend systems, with deployment experience on AWS/GCP/Azure. Proven track record delivering production systems with evaluation frameworks, automated testing (PyTest), and reliable CI/CD, while maintaining security and compliance requirements (including HIPAA).…Agentic AI Engineer and Software Engineer with 12+ years of experience building enterprise-grade applications and AI/ML solutions across healthcare, insurance, retail, and telecommunications. Hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to automate multi-step tasks, improve decision support, and streamline operations. Strong foundation in Python, REST APIs, and scalable backend systems, with deployment experience on AWS/GCP/Azure. Proven track record delivering production systems with evaluation frameworks, automated testing (PyTest), and reliable CI/CD, while maintaining security and compliance requirements (including HIPAA).

UDAY gulbi SHANKER

AI Engineer, Software Engineer, Data Engineer, +2

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Agentic AI Engineer and Software Engineer with 12+ years of experience building enterprise-grade applications and AI/ML solutions across healthcare, insurance, retail, and telecommunications. Hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to automate multi-step tasks, improve decision support, and streamline operations. Strong foundation in Python, REST APIs, and scalable backend systems, with deployment experience on AWS/GCP/Azure. Proven track record delivering production systems with evaluation frameworks, automated testing (PyTest), and reliable CI/CD, while maintaining security and compliance requirements (including HIPAA).…Agentic AI Engineer and Software Engineer with 12+ years of experience building enterprise-grade applications and AI/ML solutions across healthcare, insurance, retail, and telecommunications. Hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to automate multi-step tasks, improve decision support, and streamline operations. Strong foundation in Python, REST APIs, and scalable backend systems, with deployment experience on AWS/GCP/Azure. Proven track record delivering production systems with evaluation frameworks, automated testing (PyTest), and reliable CI/CD, while maintaining security and compliance requirements (including HIPAA).

Available to hire

Agentic AI Engineer and Software Engineer with 12+ years of experience building enterprise-grade applications and AI/ML solutions across healthcare, insurance, retail, and telecommunications. Hands-on expertise in LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to automate multi-step tasks, improve decision support, and streamline operations.

Strong foundation in Python, REST APIs, and scalable backend systems, with deployment experience on AWS/GCP/Azure. Proven track record delivering production systems with evaluation frameworks, automated testing (PyTest), and reliable CI/CD, while maintaining security and compliance requirements (including HIPAA).

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Agentic AI Engineer at Optum

April 1, 2025 - Present

Built agentic AI and ML solutions combining structured healthcare data with unstructured clinical documents to enable clinical decision support and healthcare operations improvements. Developed RAG applications grounded in enterprise knowledge while maintaining HIPAA compliance, including semantic indexing pipelines for large volumes of clinical notes and policy documents. Evaluated and optimized embedding models and retrieval strategies using hybrid retrieval techniques to improve search and response quality. Integrated LLMs (GPT-4, Claude, Llama) into RAG workflows and built multi-step agentic workflows using LangChain and LangGraph. Implemented extraction and NLP techniques for insights from clinical notes and discharge summaries. Added evaluation frameworks for retrieval accuracy and response quality, and created unit/integration/API tests using PyTest. Deployed RAG/AI services on AWS using SageMaker and Bedrock with monitoring and CI/CD practices.

AI/ML/Agentic AI Engineer at GEICO

January 1, 2023 - March 31, 2025

Contributed to GEICO AI modernization efforts across fraud detection, claims processing, audit automation, and customer support. Built ML and GenAI systems using structured insurance data, claims records, and policy documents to improve decision-making and operational efficiency. Developed RAG applications for retrieving information from insurance policies, regulatory documents, and claims data to produce context-aware, grounded responses. Implemented ingestion pipelines for both structured and unstructured documents (including scanned records). Built semantic search using FAISS and Pinecone and enhanced retrieval quality via embedding optimization, chunking, filtering, and ranking. Developed conversational AI and Q&A services with LangChain and FastAPI, and created agentic workflows for document analysis and complaint triage. Added evaluation and validation processes, automated testing with PyTest, and deployed solutions on AWS (SageMaker, Lambda, Kinesis, S3) with monitoring and cont

Python Developer with ML at Best Buy - Richfield, MN.

March 1, 2020 - December 31, 2022

Strengthened Best Buy’s enterprise data platform by enabling advanced analytics and ML-driven retail initiatives. Designed high-throughput ingestion pipelines for customer, product, and supply-chain datasets and modernized a cloud-native data architecture for real-time analytics and ML-ready datasets. Improved pipeline performance by ~40% and reduced infrastructure costs by ~25%. Built reusable ML data preparation frameworks for feature engineering for recommendations, inventory forecasting, and marketing optimization. Implemented model scoring pipelines in batch and near real-time, along with data quality checkpoints, anomaly detection rules, and automated validation to improve compute efficiency (~35%) and reduce inconsistencies. Delivered curated semantic data models for BI dashboards, established orchestration/monitoring for predictable job execution, and supported CI/CD-enabled data repositories. Ensured cloud security, encryption, and PII governance compliance.

Python Developer at Sprint Corp – Alpharetta, GA

November 1, 2016 - January 31, 2020

Developed scalable telecom data platforms for network analytics and customer experience insights. Built real-time pipelines integrating REST APIs, support logs, and network usage data to support predictive analytics such as churn prediction and segmentation, and to enable network performance monitoring. Improved ETL pipeline performance by ~30% through optimized workflows and applied data cleaning/transformations and feature selection. Implemented data imputation techniques for missing telecom data and reduced missing/inconsistent issues by ~25%. Designed and optimized relational and NoSQL storage systems and built automated ETL workflows for transforming raw network data into analytics-ready formats. Developed dashboards in Tableau/Superset and supported predictive and segmentation models. Built real-time alerting and monitoring pipelines and supported ML model deployment with Vertex AI/TFX-style workflows.

Python Developer at Genworth Financial, Richmond, VA

February 1, 2014 - October 31, 2016

Built enterprise web applications and backend systems for financial/insurance services. Developed Python-based applications and RESTful APIs for secure financial data processing and reporting. Performed database and system performance optimization, including schema and query tuning that reduced query latency by ~30%. Developed Django web applications, including front-end UI work with HTML/XHTML/CSS, and migrated a Django database from SQLite to PostgreSQL while ensuring data integrity. Implemented REST API calls and Excel report parsing, built automation scripts, and used CI/CD (Jenkins) to reduce release time by ~25%. Created Docker container images and developed SQL objects (tables, stored procedures, views, triggers).