Bryan Cabrera
@bryancabrera
Software engineer specializing in LLM pipelines, NLP systems, and scalable data architectures.
United StatesWhat I'm looking for
I am a software engineer focused on building LLM-driven NLP systems and scalable data architectures, with hands-on experience implementing production APIs, RAG pipelines, and real-time processing platforms. At LexisNexis I led delivery of Enigmia Core, reducing operational costs by 70% while improving processing speed through advanced LLM and NLP techniques.
I have designed and deployed RAG chatbots, automated model evaluation pipelines on AWS Batch, and built ETL and spatial analytics pipelines using Airflow and BigQuery. I collaborate cross-functionally, document technical workflows, and prioritize operational readiness, scalability, and rapid prototyping to drive product improvements and client satisfaction.
Experience
Work history, roles, and key accomplishments
Software Engineer
LexisNexis Risk Solutions
Jan 2023 - Present (3 years 2 months)
Directed development of Enigmia Core, a real-time reputation measurement platform that reduced operational costs by 70% and improved processing speed using LLM and NLP techniques; built FastAPI APIs and LangChain pipelines to enable client integrations and faster iteration.
Software Engineer
Northrop Grumman
Mar 2022 - Sep 2022 (6 months)
Designed and deployed a RAG-based chatbot and internal observability tools, automated LLM evaluation via an AWS Batch pipeline, and fine-tuned domain models to improve response relevance and production reliability.
Associate Software Engineer
Northrop Grumman
Oct 2020 - Mar 2022 (1 year 5 months)
Built ETL pipelines with Apache Airflow and spatial models using cloud data warehouses to estimate urban litter, optimize vehicle routing, and analyze retail hotspots using SQL and spatial statistics.
Education
Degrees, certifications, and relevant coursework
Florida Atlantic University
Bachelor of Science, Computer Science
2015 - 2019
Completed a Bachelor of Science in Computer Science with coursework and projects in software engineering, data processing, and algorithms.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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