Summary
Overview
Work History
Education
Skills
Certification
Timeline
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Devin Thomas

Cleveland, OH

Summary

Results-oriented AI/Data Engineer with 7+ years at ADP, focusing on machine learning and data warehousing. Expertise in creating scalable ETL processes and NLP pipelines, which improved model performance and minimized response times. Strong background in MLOps implementation, ensuring alignment of technical solutions with business needs. Achievements include enhanced data management systems and increased operational efficiency through effective data retrieval optimization.

Overview

8
8
years of professional experience
1
1
Certification

Work History

Ai/Data Engineer, AI/ML Engineer

ADP
Cincinnati, OH
08.2023 - Current
  • Developed scalable machine learning models for sales insights and data governance.
  • Engineered NLP pipelines with Llama 3 and BERT, processing over 10K daily customer conversations.
  • Designed standardized ETL components using Azure Data Factory for multi-source data integration.
  • Collaborated with business leaders to align technical ML solutions with insurance industry needs.
  • Created reusable components for LLM fine-tuning with LoRA, enhancing model performance to 93%.
  • Implemented MLOps best practices, ensuring effective CI/CD pipelines for model deployment.
  • Built RAG applications that reduced customer service response time by 40% and improved accuracy.
  • Established an online feature store system with Apache Flink for real-time event processing.

Data Engineer, AI/ML Engineer

xLab
Cleveland, Ohio
01.2021 - 07.2023
  • Led data engineering modernization efforts, enhancing analytics and delivering real-time insights via cloud platforms.
  • Developed advanced machine learning models to predict magnetorheological fluid clutch behavior in satellite landing gear systems.
  • Implemented and compared ARX, non-linear ARX, and Hammerstein models to analyze complex fluid dynamics.
  • Created data pipelines for sensor reading processing and validated model performance against laboratory results.
  • Collaborated with aerospace engineers to integrate ML predictions into landing gear design workflows.
  • Deployed ML models using Python and MLflow in Databricks, improving prediction accuracy for transaction risk scoring.
  • Automated model training and evaluation pipelines with MLflow and Azure ML for scalable experimentation.
  • Established a centralized feature store with Delta Lake and integrated Azure Event Hubs for real-time data ingestion.
  • Collaborated with data scientists and analysts to understand data needs and implement appropriate data models and structures.
  • Designed data warehousing solutions, applying dimensional modeling techniques for optimized data retrieval.
  • Configured and maintained cloud-based data infrastructure on platforms like AWS, Azure, and Google Cloud to enhance data storage and computation capabilities.
  • Developed Python scripts for extracting data from web services API's and loading into databases.

Data Engineer, AI

IBS Software
Kerala
10.2017 - 12.2020
  • Modernized data infrastructure by designing secure and scalable data models.
  • Developed Python scripts for extracting data from web services API's and loading into databases.
  • Optimized existing queries to improve query performance by creating indexes on tables.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
  • Implemented data visualization tools like Tableau and Power BI to create dashboards and reports for business stakeholders.
  • Optimized cloud-based ETL and reporting processes to enhance operational efficiency.
  • Collaborated with product managers and engineers to prioritize features for ML models based on business impact.
  • Applied natural language processing techniques to extract insights from customer feedback, boosting satisfaction by 22%.
  • Implemented containerized deployment architecture using Docker and CI/CD pipelines for consistent model execution.
  • Maintained comprehensive documentation of model architecture, data pipelines, and evaluation metrics for knowledge transfer.
  • Enhanced security measures through column-level encryption, TDE, and Always Encrypted features.
  • Built real-time streaming pipelines with Azure Event Hubs, achieving a 70% reduction in data latency.

Education

Master of Business Analytics and Intelligence -

Case Western Reserve University
Cleveland, USA, Ohio

Bachelor of Engineering - Mechanical Engineering

APJ Abdul Kalam Technological University
Kerala IN

Skills

  • Machine learning
  • Data warehousing
  • ETL development
  • Natural language processing
  • MLOps practices
  • Cloud infrastructure management
  • Data pipeline control
  • Scripting languages
  • Big data processing
  • Business intelligence

Certification

AWS Certified AI Practitioner

Snowflake Data Warehouse

Microsoft Certified: Azure Databricks

Timeline

Ai/Data Engineer, AI/ML Engineer

ADP
08.2023 - Current

Data Engineer, AI/ML Engineer

xLab
01.2021 - 07.2023

Data Engineer, AI

IBS Software
10.2017 - 12.2020

Master of Business Analytics and Intelligence -

Case Western Reserve University

Bachelor of Engineering - Mechanical Engineering

APJ Abdul Kalam Technological University

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Devin Thomas