I am an innovative AI/Gen AI Engineer with over five years of experience in designing, developing, and deploying scalable web and AI solutions. I have a strong proficiency in Python, JavaScript/TypeScript, and front-end frameworks like React and Angular, with extensive expertise in building end-to-end machine learning and generative AI pipelines, including LLM fine-tuning and prompt engineering. I specialize in leveraging cloud platforms such as AWS and Azure to build enterprise-scale solutions and am skilled in DevOps practices like Docker, Kubernetes, and CI/CD. My experience spans multiple sectors including healthcare, finance, and enterprise, where I deliver impactful AI-driven automation and provide AI strategy guidance to stakeholders.

Venkat Surimalla

I am an innovative AI/Gen AI Engineer with over five years of experience in designing, developing, and deploying scalable web and AI solutions. I have a strong proficiency in Python, JavaScript/TypeScript, and front-end frameworks like React and Angular, with extensive expertise in building end-to-end machine learning and generative AI pipelines, including LLM fine-tuning and prompt engineering. I specialize in leveraging cloud platforms such as AWS and Azure to build enterprise-scale solutions and am skilled in DevOps practices like Docker, Kubernetes, and CI/CD. My experience spans multiple sectors including healthcare, finance, and enterprise, where I deliver impactful AI-driven automation and provide AI strategy guidance to stakeholders.

Available to hire

I am an innovative AI/Gen AI Engineer with over five years of experience in designing, developing, and deploying scalable web and AI solutions. I have a strong proficiency in Python, JavaScript/TypeScript, and front-end frameworks like React and Angular, with extensive expertise in building end-to-end machine learning and generative AI pipelines, including LLM fine-tuning and prompt engineering.

I specialize in leveraging cloud platforms such as AWS and Azure to build enterprise-scale solutions and am skilled in DevOps practices like Docker, Kubernetes, and CI/CD. My experience spans multiple sectors including healthcare, finance, and enterprise, where I deliver impactful AI-driven automation and provide AI strategy guidance to stakeholders.

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Experience Level

Work Experience

Gen AI Engineer at HCA Healthcare
October 1, 2024 - Present
Designed, developed, and deployed generative AI models for enterprise applications across text, code, and image generation. Built scalable end-to-end AI pipelines including data ingestion, model training, deployment and monitoring. Implemented Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and reduced hallucinations. Designed vector database solutions using Pinecone for semantic search and low-latency retrieval. Fine-tuned large language models and applied prompt engineering aligned with business needs. Integrated AI solutions into chatbots, virtual assistants, and knowledge retrieval systems to improve automation. Leveraged Azure Cloud services for scalable AI training and deployment and utilized Azure OpenAI Service and Cognitive Search for intelligent information retrieval. Developed Copilot Studio-powered AI assistants to automate workflows and supported code and document generation. Conducted model evaluation and performance monitoring and ensured secure an
AI Engineer at Frost Bank
August 31, 2024 - September 4, 2025
Designed, developed, and deployed AI and machine learning models for predictive analytics, recommendation systems, and automation solutions. Built end-to-end ML pipelines using AWS SageMaker and other AWS services for scalable model lifecycle management. Developed and fine-tuned supervised, unsupervised, and reinforcement learning models using Python libraries such as scikit-learn, TensorFlow, and PyTorch. Applied NLP techniques for text classification, sentiment analysis, and chatbot development. Performed feature engineering and model optimization to improve accuracy. Conducted model evaluation and monitoring, tracking metrics like accuracy and F1-score. Developed AI-driven automation solutions that significantly reduced manual effort and improved operational efficiency. Applied MLOps practices including CI/CD pipelines and automated deployment workflows. Collaborated with cross-functional teams to deliver actionable AI solutions. Researched the latest AI techniques including generat
ML Engineer at Cognizant
July 31, 2023 - September 4, 2025
Designed, developed, and deployed machine learning models for predictive analytics, natural language processing, recommendation systems, and automation workflows. Built end-to-end ML pipelines for data collection, preprocessing, feature engineering, training, evaluation, and deployment. Developed models using Python, scikit-learn, TensorFlow, and PyTorch with supervised and unsupervised learning methods. Leveraged AWS services including SageMaker and EC2 for scalable training and deployment. Implemented MLOps practices with CI/CD pipelines, model versioning, and automated testing for production readiness. Applied NLP techniques for text classification, sentiment analysis, and conversational AI solutions. Optimized model performance through hyperparameter tuning and feature selection. Collaborated with teams to integrate ML solutions into applications enabling data-driven decision-making. Researched and implemented advanced ML and generative AI techniques. Conducted rigorous model evalu

Education

Master of Science in Data Science at University of Texas at Arlington
August 1, 2023 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet