Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an accomplished and innovative AI/ML/GenAI Engineer with over 14 years of industry experience, including 3+ years specializing in large language models, natural language processing, and agentic frameworks. I deliver enterprise-scale AI solutions primarily across healthcare, insurance, and business automation domains, focusing on integrating AI systems into complex workflows to enhance automation, compliance, and end-user value. My expertise extends to designing and deploying AI agents with frameworks such as LangGraph and CrewAI, implementing model context protocols for structured memory, and embedding AI within CRM and low-code environments. I have hands-on experience with scaling AI solutions using Azure, AWS, and Google Cloud, leading projects with full lifecycle ownership, and ensuring robust AI governance and operational excellence. I strive to build AI applications that augment business workflows, reduce overhead, and accelerate decision-making while maintaining regulatory compliance.…I am an accomplished and innovative AI/ML/GenAI Engineer with over 14 years of industry experience, including 3+ years specializing in large language models, natural language processing, and agentic frameworks. I deliver enterprise-scale AI solutions primarily across healthcare, insurance, and business automation domains, focusing on integrating AI systems into complex workflows to enhance automation, compliance, and end-user value. My expertise extends to designing and deploying AI agents with frameworks such as LangGraph and CrewAI, implementing model context protocols for structured memory, and embedding AI within CRM and low-code environments. I have hands-on experience with scaling AI solutions using Azure, AWS, and Google Cloud, leading projects with full lifecycle ownership, and ensuring robust AI governance and operational excellence. I strive to build AI applications that augment business workflows, reduce overhead, and accelerate decision-making while maintaining regulatory compliance.

Venkatarayudu Dhurjati

AI Engineer, Full Stack Developer, Data Scientist





I am an accomplished and innovative AI/ML/GenAI Engineer with over 14 years of industry experience, including 3+ years specializing in large language models, natural language processing, and agentic frameworks. I deliver enterprise-scale AI solutions primarily across healthcare, insurance, and business automation domains, focusing on integrating AI systems into complex workflows to enhance automation, compliance, and end-user value. My expertise extends to designing and deploying AI agents with frameworks such as LangGraph and CrewAI, implementing model context protocols for structured memory, and embedding AI within CRM and low-code environments. I have hands-on experience with scaling AI solutions using Azure, AWS, and Google Cloud, leading projects with full lifecycle ownership, and ensuring robust AI governance and operational excellence. I strive to build AI applications that augment business workflows, reduce overhead, and accelerate decision-making while maintaining regulatory compliance.…I am an accomplished and innovative AI/ML/GenAI Engineer with over 14 years of industry experience, including 3+ years specializing in large language models, natural language processing, and agentic frameworks. I deliver enterprise-scale AI solutions primarily across healthcare, insurance, and business automation domains, focusing on integrating AI systems into complex workflows to enhance automation, compliance, and end-user value. My expertise extends to designing and deploying AI agents with frameworks such as LangGraph and CrewAI, implementing model context protocols for structured memory, and embedding AI within CRM and low-code environments. I have hands-on experience with scaling AI solutions using Azure, AWS, and Google Cloud, leading projects with full lifecycle ownership, and ensuring robust AI governance and operational excellence. I strive to build AI applications that augment business workflows, reduce overhead, and accelerate decision-making while maintaining regulatory compliance.

Available to hire

I am an accomplished and innovative AI/ML/GenAI Engineer with over 14 years of industry experience, including 3+ years specializing in large language models, natural language processing, and agentic frameworks. I deliver enterprise-scale AI solutions primarily across healthcare, insurance, and business automation domains, focusing on integrating AI systems into complex workflows to enhance automation, compliance, and end-user value.

My expertise extends to designing and deploying AI agents with frameworks such as LangGraph and CrewAI, implementing model context protocols for structured memory, and embedding AI within CRM and low-code environments. I have hands-on experience with scaling AI solutions using Azure, AWS, and Google Cloud, leading projects with full lifecycle ownership, and ensuring robust AI governance and operational excellence. I strive to build AI applications that augment business workflows, reduce overhead, and accelerate decision-making while maintaining regulatory compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Gen AI Architect at Wellmark BCBS

January 1, 2023 - Present

Built and optimized retrieval-augmented generation pipelines on Azure leveraging OpenAI embeddings and chunking of medical documents. Customized foundation models for healthcare-specific needs using LoRA, PEFT, and RAG techniques. Delivered scalable AI solutions automating clinical workflows, claims processing, and sales engagement through AI-enabled platforms like Outreach and Gong. Designed multi-agent AI orchestration systems and implemented Model Context Protocols to maintain conversation contexts in workflows. Led AI governance frameworks ensuring HIPAA and GDPR compliance. Developed prompt engineering methodologies for medical documentation and clinical chatbot workflows. Architected secure, scalable AI platforms on multiple cloud providers with integrated MLOps and real-time monitoring. Collaborated cross-functionally to align AI solutions with strategic healthcare business goals.

Machine Learning Engineer at CITI BANK

December 31, 2022 - August 11, 2025

Developed and deployed classification models to predict fraud using LSH and ensemble algorithms with 89% accuracy, improving business security. Built deep learning models using TensorFlow and deployed scalable MLOps pipelines on GCP and Kubernetes. Led design and implementation of CI/CD pipelines for automated model retraining and testing. Conducted exploratory data analysis and built ETL pipelines with Apache Airflow and Spark for multimodal datasets. Integrated deployed models with REST APIs and internal applications with detailed documentation. Led DevOps collaboration for containerized model deployment and monitoring to ensure continuous model performance improvement.

Senior Software Engineer (Python Developer) at PwC

March 31, 2021 - August 11, 2025

Designed and developed RESTful APIs for user management and e-commerce modules using FastAPI and PostgreSQL with SQLAlchemy ORM. Integrated JWT-based authentication for secure, role-based access controls and middleware for permission checks, improving security by 30%. Developed unit and integration tests reducing bugs and enhancing reliability. Created interactive API documentation via Swagger/OpenAPI for efficient developer onboarding. Implemented validation and rate limiting enhancing system robustness and performance optimization through query tuning leading to 30% faster response times.

Python Developer at CAPGEMINI

March 31, 2014 - August 11, 2025

Enhanced REST API data retrieval efficiency using Python libraries and parsed JSON/XML response handling with robust data storage solutions. Improved data processing by manipulating CSV/Excel/SQL datasets and using SQL operations. Authored comprehensive unit and Selenium-based test scripts increasing test coverage and deployment speed. Led regex parsing for data extraction from PDFs and emails, improving workflow efficiency by 20%. Performed CRUD operations and generated complex reports enhancing data-driven decision-making across departments.