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I am an AI/ML Engineer with over eight years of hands-on experience designing and deploying production-grade machine learning models and scalable data pipelines in finance, healthcare, and insurance sectors. I specialize in end-to-end machine learning workflows and have a strong background in NLP, deep learning, and generative AI, delivering impactful enterprise AI solutions across AWS, GCP, and Azure platforms. My expertise extends to building secure, automated MLOps pipelines with real-time monitoring, CI/CD, and high-availability infrastructure. I am passionate about innovation and integrating AI strategies with business goals. I thrive in leading cross-functional teams and collaborating closely with data scientists, engineers, and operations to create measurable business value. Throughout my career, I've demonstrated skills in model governance, regulatory compliance, and operational automation that drive business impact and optimize AI lifecycle management.…I am an AI/ML Engineer with over eight years of hands-on experience designing and deploying production-grade machine learning models and scalable data pipelines in finance, healthcare, and insurance sectors. I specialize in end-to-end machine learning workflows and have a strong background in NLP, deep learning, and generative AI, delivering impactful enterprise AI solutions across AWS, GCP, and Azure platforms. My expertise extends to building secure, automated MLOps pipelines with real-time monitoring, CI/CD, and high-availability infrastructure. I am passionate about innovation and integrating AI strategies with business goals. I thrive in leading cross-functional teams and collaborating closely with data scientists, engineers, and operations to create measurable business value. Throughout my career, I've demonstrated skills in model governance, regulatory compliance, and operational automation that drive business impact and optimize AI lifecycle management.

Vandana Namala

AI Engineer, AI Developer, Data Scientist

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I am an AI/ML Engineer with over eight years of hands-on experience designing and deploying production-grade machine learning models and scalable data pipelines in finance, healthcare, and insurance sectors. I specialize in end-to-end machine learning workflows and have a strong background in NLP, deep learning, and generative AI, delivering impactful enterprise AI solutions across AWS, GCP, and Azure platforms. My expertise extends to building secure, automated MLOps pipelines with real-time monitoring, CI/CD, and high-availability infrastructure. I am passionate about innovation and integrating AI strategies with business goals. I thrive in leading cross-functional teams and collaborating closely with data scientists, engineers, and operations to create measurable business value. Throughout my career, I've demonstrated skills in model governance, regulatory compliance, and operational automation that drive business impact and optimize AI lifecycle management.…I am an AI/ML Engineer with over eight years of hands-on experience designing and deploying production-grade machine learning models and scalable data pipelines in finance, healthcare, and insurance sectors. I specialize in end-to-end machine learning workflows and have a strong background in NLP, deep learning, and generative AI, delivering impactful enterprise AI solutions across AWS, GCP, and Azure platforms. My expertise extends to building secure, automated MLOps pipelines with real-time monitoring, CI/CD, and high-availability infrastructure. I am passionate about innovation and integrating AI strategies with business goals. I thrive in leading cross-functional teams and collaborating closely with data scientists, engineers, and operations to create measurable business value. Throughout my career, I've demonstrated skills in model governance, regulatory compliance, and operational automation that drive business impact and optimize AI lifecycle management.

Available to hire

I am an AI/ML Engineer with over eight years of hands-on experience designing and deploying production-grade machine learning models and scalable data pipelines in finance, healthcare, and insurance sectors. I specialize in end-to-end machine learning workflows and have a strong background in NLP, deep learning, and generative AI, delivering impactful enterprise AI solutions across AWS, GCP, and Azure platforms. My expertise extends to building secure, automated MLOps pipelines with real-time monitoring, CI/CD, and high-availability infrastructure.

I am passionate about innovation and integrating AI strategies with business goals. I thrive in leading cross-functional teams and collaborating closely with data scientists, engineers, and operations to create measurable business value. Throughout my career, I’ve demonstrated skills in model governance, regulatory compliance, and operational automation that drive business impact and optimize AI lifecycle management.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Sr.AI/ML Engineer at Raymond James Financial

January 1, 2023 - Present

Designed and deployed large-scale fraud detection models improving accuracy by 30%. Developed end-to-end MLOps workflows on AWS including SageMaker, Bedrock, Lambda, and other services for training, deployment, and monitoring. Built asynchronous AI inference services using FastAPI and Flask for low-latency fraud scoring. Automated model drift detection and integrated robust model health monitoring in CloudWatch. Created CI/CD pipelines using AWS CodeBuild, CodeDeploy, and Jenkins ensuring rapid model iteration. Containerized scalable fraud analytics modules with Docker and Kubernetes. Collaborated with cross-functional teams ensuring compliance and security within the BFS domain while enhancing operational automation and model governance.

ML Data Engineer at LabCorp

January 31, 2023 - August 26, 2025

Delivered $12M annual savings by forecasting medical logistics pricing via regression and boosting models. Conducted exploratory data analysis on clinical, EHR, and supply chain datasets to identify inefficiencies. Built scalable ETL workflows with Azure Data Factory, DBT, and PySpark to process real-time telemetry while maintaining HIPAA compliance. Established data quality and reconciliation frameworks, developed CI/CD pipelines with Azure DevOps, and deployed predictive models through RESTful APIs. Integrated model monitoring with MLflow and AzureML including automated retraining. Leveraged Azure OpenAI and GenAI for clinical report generation and insight extraction, supporting real-time patient decision support. Spearheaded collaboration across data science, DevOps, and medical teams to optimize AI/ML lifecycle.

Data Scientist at Collinson

August 1, 2021 - August 26, 2025

Developed insurance fraud detection and risk scoring models using Random Forest, XGBoost, and Logistic Regression. Implemented CNNs and LSTM models for image classification and forecasting claims trends. Built GDPR-compliant data pipelines on AWS and automated marketing analytics with Python scripts integrating Adobe Analytics. Deployed scalable ML APIs with Flask and FastAPI.

Data Scientist at HCL

May 1, 2019 - August 26, 2025

Led NLP data labeling project delivering high-quality datasets to power enterprise AI. Developed unsupervised NLP pipelines using structured prediction and graph modeling. Trained the first deep learning model for the department, recognized internally for innovation.