I'm a hands-on, friendly engineer who leads data-driven AI initiatives. I specialize in building production-ready AI/ML solutions, scalable data pipelines, and retrieval-augmented generation systems, while guiding cross-functional teams to deliver measurable business impact. I enjoy turning complex analytics into practical, auditable results and mentoring others along the way.

Justin Wade Blankenship

I'm a hands-on, friendly engineer who leads data-driven AI initiatives. I specialize in building production-ready AI/ML solutions, scalable data pipelines, and retrieval-augmented generation systems, while guiding cross-functional teams to deliver measurable business impact. I enjoy turning complex analytics into practical, auditable results and mentoring others along the way.

Available to hire

I’m a hands-on, friendly engineer who leads data-driven AI initiatives. I specialize in building production-ready AI/ML solutions, scalable data pipelines, and retrieval-augmented generation systems, while guiding cross-functional teams to deliver measurable business impact. I enjoy turning complex analytics into practical, auditable results and mentoring others along the way.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Data Analyst & Gen AI Team Lead at Forcepoint
September 20, 2025 - Present
Led development of a Gen AI-powered enterprise chatbot using LLMs and retrieval-augmented generation, reducing manual support workload by 45%. Designed and implemented RAG pipelines with FAISS, improving answer relevance by 35% and reducing hallucinations. Fine-tuned transformer models on domain-specific datasets, increasing response accuracy by 25%. Built scalable ETL pipelines processing 10M inferences. Optimized inference latency by 30% through pruning and embedding strategies. Managed and mentored a data team of 6 data scientists and ML engineers in Agile delivery cycles. LLM & Computer Vision Engineer.
LLM & Computer Vision Engineer at Scale AI
March 20, 2021 - Present
Developed LLM-based semantic search engine handling 1M requests with sub-second latency. Built NLP pipelines for text classification and entity recognition using transformer models. Designed interactive dashboards and reporting tools to support data-driven decision-making. Contributed to Agile development cycles, delivering AI-driven client solutions within tight deadlines.
Data Scientist
April 1, 2018 - Present
Developed machine learning models for predictive analytics, forecasting, and business intelligence applications. Built data pipelines and automation scripts using Python and SQL for large-scale data processing. Implemented NLP solutions for sentiment analysis, document classification, and text mining. Designed interactive dashboards and reporting tools to support data-driven decision-making. Contributed to Agile development cycles, delivering AI-driven client solutions within tight deadlines.

Education

Master of Science in Information Technology and Management at University of Texas at Dallas
January 11, 2030 - August 1, 2012
Bachelor of Science in Business Analytics and Artificial Intelligence at University of Texas at Dallas
January 11, 2030 - May 27, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment, Education