Mid-level AI Engineer specializing in ML, LLM applications, and data automation
Atlanta, GAAI Engineer4 years experienceMid-LevelEnergyRenewable EnergyTechnology
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About
Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.
Experience
AI EngineerExus Renewables North America/Tekem Solutions
Machine Learning EngineerTekGenio
Data Engineer InternAcuity Analytics
Education
Georgia State Universitymaster, Computer Science (2025)
Key Strengths
Built and deployed a RAG-based internal knowledge assistant for enterprise document retrieval
Strong data preprocessing for messy multi-format sources (PDF, Excel, internal docs)
Orchestrated reliable ETL pipelines across SQL DBs, APIs, and files using Airflow and Azure Data Factory
Implemented data quality validation, dependency management, retries, and monitoring/alerts to reduce pipeline failures
Defines success metrics and evaluates ML/LLM systems with structured testing and production monitoring (Power BI)
Pragmatic model iteration: pivoted from logistic regression to Random Forest with feature engineering to improve performance
Translates business stakeholder needs into ML solutions and delivers results via accessible dashboards
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