I am a versatile AI/ML and full-stack engineer with over 10 years of experience delivering end-to-end AI solutions. I specialize in NLP, computer vision, and large language models, and I design scalable architectures using Python and TypeScript. I deploy models on AWS, GCP, and Azure and automate pipelines with CI/CD to ship reliable software. I enjoy turning research into production, collaborating with cross-functional teams, and building tools that help users derive actionable insights from data. I value clean design, observability, and security in ML systems, and I am passionate about mentoring others and sharing knowledge.

Brian Edward Van Nostrand

I am a versatile AI/ML and full-stack engineer with over 10 years of experience delivering end-to-end AI solutions. I specialize in NLP, computer vision, and large language models, and I design scalable architectures using Python and TypeScript. I deploy models on AWS, GCP, and Azure and automate pipelines with CI/CD to ship reliable software. I enjoy turning research into production, collaborating with cross-functional teams, and building tools that help users derive actionable insights from data. I value clean design, observability, and security in ML systems, and I am passionate about mentoring others and sharing knowledge.

Available to hire

I am a versatile AI/ML and full-stack engineer with over 10 years of experience delivering end-to-end AI solutions. I specialize in NLP, computer vision, and large language models, and I design scalable architectures using Python and TypeScript. I deploy models on AWS, GCP, and Azure and automate pipelines with CI/CD to ship reliable software.

I enjoy turning research into production, collaborating with cross-functional teams, and building tools that help users derive actionable insights from data. I value clean design, observability, and security in ML systems, and I am passionate about mentoring others and sharing knowledge.

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Experience Level

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

English
Fluent

Work Experience

Senior Machine Learning Engineer at Integral Ad Science
September 1, 2022 - Present
Led development of AdGPT, a custom LLM solution enabling natural language querying over building data via gRPC and GraphQL; designed end-to-end pipelines with Haystack for document retrieval and OpenAI-based answer generation; built a GraphQL generation module translating natural language questions into GraphQL queries using ontology-based entity recognition and prompt engineering; implemented custom vector search with PGVectorStore and integrated with PostgreSQL for scalable document retrieval; architected backend services using gRPC and FastAPI; deployed and monitored microservices with custom logging and tracing systems; managed model feedback loops, user scope access controls, and taxonomy normalization logic for improved LLM accuracy and security. Also contributed to Anaxi Chatbot workflow and AdContext NLP Optimizer projects to enhance analytics, NLP pipelines, and caching.
Full Stack AI Engineer at Innowise Group
October 1, 2020 - September 1, 2022
Built Healthcare Q&A frontend with React.js; developed backend using FastAPI; integrated AI models (BERT, GPT, LLaMA) for real-time Q&A; connected to PostgreSQL and Redis for structured data and caching; containerized with Docker; collaborated to integrate fine-tuned BERT and RAG pipeline into the system.
AI/ML Engineer at AnatomizeTech
December 1, 2016 - October 1, 2020
Designed AI-driven chatbots using Microsoft Bot Framework; built NLP pipelines with spaCy and NLTK; enhanced language understanding with Word2Vec and BERT; added multilingual support; built RESTful APIs using Django and deployed on AWS EC2; implemented Transformer model using PyTorch for domain-specific tasks.
Machine Learning Engineer at BD (Becton, Dickinson and Company)
January 1, 2014 - December 1, 2016
Designed ML models for disease prediction and medical diagnostics; built CNNs for medical image classification with transfer learning; developed NLP pipelines to analyze clinical notes and extract structured medical entities; implemented Faster R-CNN for object detection; on-site in San Diego.
Intern at Genalyte
June 1, 2013 - December 1, 2013
Developed image classification and object detection models using MATLAB and CNN frameworks; preprocessed and annotated medical imaging datasets; deployed a prototype system that improved biomarker detection accuracy.

Education

Master’s degree at University of California
January 1, 2014 - December 1, 2014
Bachelor’s degree at University of California
September 1, 2009 - June 1, 2013
Master’s degree at University of California
January 1, 2014 - December 1, 2014
Bachelor’s degree at University of California
September 1, 2009 - June 1, 2013
Master's degree in Computer Science and Engineering at University of California
January 1, 2014 - December 1, 2014
Bachelor's degree in Computer Science and Engineering at University of California
September 1, 2009 - June 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Media & Entertainment, Professional Services, Life Sciences