Sr. Data Engineer (AI/ML) at IDEAON, INC

Worked at Kaiser Permanente Regional Laboratory in Berkeley, CA, delivering AI and ML-driven solutions to optimize clinical laboratory workflows, reduce errors, and improve test processing efficiency. Built and deployed deep learning models using TensorFlow and Keras, reducing wafer scrap by 15%. Developed scalable Gen AI NLP systems integrating LLMs, prompt engineering, and vector similarity search for improved real-time decision-making and automated workflows. Led data pipeline and ETL optimizations with Apache Spark, Hive, Kafka, and cloud technologies including AWS SageMaker. Implemented Responsible AI practices and advanced NLP techniques to enhance product quality and stakeholder reporting. Collaborated closely with cross-functional teams to deliver high-impact AI-driven insights and automation.

Data Engineer at Vennison Technologies, Inc

Contributed to the Policy Print Publishing Platform project by managing data transfers, validations, and tracking between Windows servers and AWS environments. Built predictive models using XGBoost for student USMLE exam outcome analysis. Developed and optimized complex SQL queries and Power BI dashboards for insurance claims and underwriting analysis. Employed advanced ML and NLP techniques to streamline data ingestion, processing, and reporting. Implemented DevOps practices for CI/CD and infrastructure as code using Azure DevOps and Terraform.

AI/ML Engineer at Vennison Technologies, Inc

Worked on the PAM Rehabilitation Therapy project providing solutions for patient administration, billing, and pharmacy management. Developed document parsing pipelines converting PDFs to structured XML with high accuracy. Deployed production-ready ML models using Azure ML and GCP Vertex AI. Built scalable MLOps architecture with MLflow, Docker, and Kubernetes. Applied NLP for document classification and entity extraction. Established monitoring solutions with Prometheus and Grafana. Automated ETL workflows with Apache Airflow, reducing manual workload significantly. Managed integration with multiple database systems and created interactive dashboards.

Artificial Intelligence Engineer (ML Core) at Solution Zero, LLC DBA Caprock Custom Applications

Developed data analytics and machine learning models for Therapractic and Gateway client counseling data, improving patient scheduling and reporting systems. Implemented ETL pipelines and deployed TensorFlow models on Google Cloud AI Platform and Azure ML Studio. Applied CNNs for image recognition and optimized ML models with hyperparameter tuning. Automated data manipulation and reporting using Python and R. Collaborated with cross-functional teams for model deployment and business insights, supporting mental healthcare analytics.

Data Scientist at Marlabs, Inc.

Provided analytical support for employee billing systems by analyzing trends and patterns, cleaning and organizing large datasets, and reporting insights to executives in healthcare. Developed dashboards and reports using Python, Tableau, and Power BI. Ensured data adherence to healthcare quality standards and collaborated with teams on data-driven decision-making.

.Net Analyst at Optimized Solutions

Engaged in full SDLC including requirement analysis, design, development, and testing of web applications using ASP.NET, C#, and related technologies. Developed advanced search components using Entity Framework and AJAX, and built web services with WCF and BizTalk. Managed SQL Server databases and performed source control with TFS.

Sr. Data Engineer (AI/ML) at IDEAON, INC

At Kaiser Permanente Regional Laboratory in Berkeley, CA, I collaborated with cross-functional teams to define business challenges and translate them into scalable analytical solutions for process optimization. I built and deployed deep learning models using TensorFlow and Keras, reducing production waste and improving accuracy in health population data analysis. I developed advanced Retrieval-Augmented Generation (RAG) APIs for context-aware responses leveraging semantic embeddings and vector databases like FAISS. I implemented Lambda architectures for real-time batch and streaming data analytics and managed end-to-end machine learning pipelines with tools such as Apache Spark, Kafka, Hive, and AWS SageMaker. I focused on responsible AI practices including model transparency, bias mitigation, multi-modal integration, and prompt engineering for LLMs across healthcare and related industries.

Data Engineer at Vennison Technologies, Inc

For Kemper Inc, I managed data pipelines and developed predictive models using Python, XGBoost, and AWS SageMaker to improve insurance claims analytics. I implemented Retrieval-Augmented Generation models to enhance contextual AI outputs. I integrated Elasticsearch and Kibana for scalable data analysis and visualization and optimized machine learning models through hyperparameter tuning, cross-validation, and feature engineering. I also worked on DevOps practices with Azure DevOps, YAML pipelines, and infrastructure-as-code using Terraform, facilitating CI/CD for machine learning operations.

AI/ML Engineer at Vennison Technologies, Inc

At PAM Health Rehabilitation Hospital, I led development of scalable machine learning and NLP models supporting patient administration, billing, and pharmacy management systems. I developed document parsing frameworks with Python, Element Tree, and Apache Spark, achieving high accuracy in converting regulatory documents to structured data. Implemented MLOps practices using MLflow, Docker, and Kubernetes for model deployment and monitoring with Prometheus and Grafana. Leveraged NLP techniques including SpaCy and BERT for text classification and information extraction. Created and optimized ETL workflows with Airflow and collaborated with cross-functional teams to align ML solutions with business goals.

Artificial Intelligence Engineer (ML Core) at Solution Zero, LLC DBA Caprock Custom Applications

Developed predictive and classification models for mental health counseling operations, leveraging TensorFlow, Scikit-learn, and cloud AI platforms like Google Cloud AI Platform and Azure ML Studio. Designed ETL pipelines integrating Airflow, Kafka, and BigQuery for large-scale data processing. Implemented image recognition using CNNs to improve visual data analysis accuracy. Conducted exploratory data analysis and hyperparameter tuning to optimize model performance. Automated data workflows and collaborated closely with engineering and business teams to translate insights into actionable strategies.

Data Scientist at Marlabs, Inc.

Provided analytical support for employee billing data through data cleaning, aggregation, and analysis. Developed reports and visualizations using Python, Tableau, and Power BI to aid healthcare quality compliance and decision-making. Collaborated with executives and data teams to communicate trends and support strategic plans based on data-driven insights.