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.
Experience Level
Expert
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Intermediate
Intermediate
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Intermediate
Intermediate
Intermediate
Intermediate
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Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Data Analyst & Gen AI Team Lead at Forcepoint
September 20, 2025 - PresentLed 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 - PresentDeveloped 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 - PresentDeveloped 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, 2012Bachelor of Science in Business Analytics and Artificial Intelligence at University of Texas at Dallas
January 11, 2030 - May 27, 2026Qualifications
Industry Experience
Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment, Education
Experience Level
Expert
Expert
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Expert
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Expert
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Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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