David Kersey
Machine Learning Engineer @SMX
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WORK HISTORY
Machine Learning Engineer @SMX
LLMs, RAG, and Applied AI Systems- Designed and built production LLM applications using Retrieval-Augmented Generation (RAG) to support document-centric decision workflows for government clients- Implemented RAG pipelines using Python, Docker, Streamlit, LangChain, and multiple vector databases- Led LLM architecture selection and experimentation, including embedding models, vector store strategies, chunking approaches, prompt engineering, and multi-step agent workflows- Developed semantic search, keyword + vector hybrid search, and automated text summarization tools capable of processing hundreds to thousands of unstructured documents- Built multi-stage reasoning and extraction pipelines using LangChain and LangGraph, delivering structured outputs for downstream analytics and automationMachine Learning, Data Engineering, and MLOps- Developed and productionalized machine learning and automation solutions using Databricks, MLflow, TensorFlow, UiPath, and Python- Built and maintained ETL/ELT pipelines to ingest, transform, and validate large-scale client datasets, ensuring data quality and reproducibility- Managed Databricks clusters, jobs, and notebooks, along with GitLab-based version control and CI/CD workflows- Led feature engineering, model training, evaluation, and performance tuning, leveraging MLflow for experiment tracking and model comparison- Stood up end-to-end production ML solutions for new clients, translating business requirements into deployable model logic and automated pipelinesPlatform Delivery & Client Collaboration- Partnered closely with mission stakeholders, SMEs, and engineering teams to translate ambiguous requirements into scalable AI solutions- Supported secure cloud deployments (AWS/Databricks) aligned with government data and security constraints- Acted as an internal AI/ML subject-matter expert, delivering technical briefings, demos, and hands-on workshops
EDUCATION
University of Kerala
Tropical Biology & Agriculture
William & Mary
Master's degree, Merit Scholar, Business Analytics
St. Mary's College of Maryland
Bachelor of Arts (B.A.), Biology, General
Wharton Online
Business Foundations Specialization
SKILLS
ABOUT DAVID KERSEY
Machine Learning Engineer with 5+ years of experience delivering production AI/ML systems for government and enterprise clients. I specialize in LLM-powered applications, retrieval-augmented generation (RAG), data pipelines, and MLOps, with a strong focus on taking models from experimentation through secure, scalable deployment.I’ve led end-to-end development of Python-based ML and LLM solutions, including document ingestion and semantic search pipelines, feature engineering, model evaluation, and automated workflows that support mission-critical decision-making. My work spans unstructured document processing, automated audit workflows, fraud and risk analytics, and enterprise data platforms, with hands-on ownership of architecture design, tooling selection, and operationalization.I am effective in environments that require translating ambiguous business or mission requirements into concrete AI systems, collaborating closely with stakeholders, and balancing rapid iteration with production reliability and governance.Government clearance available upon request.
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