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Senior AI/ML Platform Engineer
Senior AI Engineer at Elevance Health who built CareAssist, cutting clinical documentation effort by 35%.
United StatesSenior AI/ML Platform Engineer at Elevance Health
Built CareAssist with Python, FastAPI, Clinical NLP, and RAG to convert clinical conversations into structured documentation, cutting documentation effort by 35%. Developed NexusAI, a knowledge retrieval platform using LangChain, Azure AI Search, and pgvector, reducing time spent locating information by 40%.
PythonfastAPIClinical Natural Language Processing (NLP)RAGLang ChainAzure AI SearchPgvectorSttsTTSTool callingSalesforceServiceNowDockerKubernetes
Master of Science in Information System Security from the University of the Cumberlands from 2018 to 2019.
Master of Science in Information System Security from the University of the Cumberlands from 2018 to 2019.
Master's Degree in Computer Science from Northwestern Polytechnic University from 2015 to 2016.
Master's Degree in Computer Science from Northwestern Polytechnic University from 2015 to 2016.
Built InsightFlow, a conversational analytics platform using Python, SQL, Snowflake, BigQuery, Databricks, and semantic models, cutting routine analytics turnaround by 50%. Developed Orion, a multi-agent operations platform with Python, LangGraph, Kubernetes, Terraform, and OpenTelemetry.
PythonSQLSnowflakeBigQueryDatabricksSemantic ModelingLangGraphKubernetesTerraformOpenTelemetryCodexClaude CodeGitHubDockerCI CDApproval GatesTesting Automation
Engineered backend services with Java, Go, Python, Node.js, SQL, REST APIs, PostgreSQL, and MongoDB for high-volume internal applications. Improved reliability of distributed services through Kafka, caching, automated testing, and observability.
JavaGoPythonNodeJSSQLREST APIsPostgreSQLMongoDBKafkaDockerKubernetesTerraformCI CDDBTAirflowSnowflakeDatabricksLangGraphOpenTelemetryMicrosoft SentinelDatadogServiceNow ITOM
Automated application delivery with Docker, Kubernetes, Terraform, CI/CD, and release validation, standardizing deployment practices. Developed DataSphere with Python, dbt, Airflow, Kafka, Snowflake, and Databricks, reducing recurring data-pipeline incidents by 30%.
DockerKubernetesTerraformCI CDPythonDBTAirflowKafkaSnowflakeDatabricksSQLBigQuerySemantic ModelingOpenTelemetryDatadogServiceNow ITOM
Developed enterprise applications with Java, C#, JavaScript, SQL, REST, and SOAP, translating business requirements into backend services and production features. Optimized SQL queries and stored procedures, improving processing performance by 25% for data-intensive workflows.
JavaC#JavaScriptSQLRESTSOAPJDBCStored ProceduresBatch ProcessingTesting AutomationVersion Control
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