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Morgan Mastrangelo

@morganmastrangelo

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Seasoned AI/ML Engineer specializing in Generative AI solutions.

United States

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What I'm looking for

I am seeking a role that fosters innovation in AI, encourages collaboration, and offers opportunities for professional growth.

I am a seasoned AI/ML Architect with over 6 years of experience in designing full-stack, cloud-native AI solutions. My specialization lies in Generative AI, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a proven track record of developing scalable AI microservices and architecting prompt optimization pipelines, operationalizing AI in regulated, real-time systems.

At Drivingo, I played a pivotal role in developing an enterprise-scale multi-agent Generative AI platform, integrating advanced models and automating high-frequency operational decisions. My efforts in scaling RAG systems significantly reduced hallucination rates and boosted factual recall. I also spearheaded the development of a model lifecycle management platform, improving operational velocity and enhancing observability pipelines to capture critical model metrics.

Previously, as an AI Platform Engineer at Novatio Solutions, I directed the implementation of a cloud-native AI platform on GCP, processing vast amounts of structured and unstructured data. My experience includes building modular ETL pipelines, developing full-stack AI solutions, and ensuring compliance with industry standards. I am passionate about leveraging AI to drive innovation and efficiency in various domains.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Drivingo

May 2023 - Present (3 years 1 month)

Participated in developing an enterprise-scale multi-agent Generative AI platform, integrating GPT-4o, Claude, and Bedrock models with orchestrated reasoning workflows. Scaled Retrieval-Augmented Generation (RAG) systems using vector databases and semantic chunking strategies, reducing hallucination rates by 43% and boosting factual recall by 38%. Spearheaded the development of a model lifecycle m

Generative AI Pinecone Faiss MLFlow fastAPI Kubernetes Azure GCP RAG

AI Platform Engineer

Novatio Solutions

Jul 2018 - Apr 2023 (4 years 9 months)

Directed the end-to-end implementation of a cloud-native AI platform on GCP, leveraging BigQuery, Dataflow, Vertex AI, and Airflow for processing and serving over 10TB of data monthly. Developed full-stack AI solutions with FastAPI and GraphQL backends, embedding fine-tuned transformer models for tasks such as sentiment analysis and supply chain optimization. Engineered a distributed model deploym

GCP BigQuery Dataflow Vertex AI Airflow fastAPI GraphQL BERT Kubernetes

Machine Learning Intern

Google

Jan 2017 - May 2018 (1 year 4 months)

Collaborated with Google Brain researchers on optimizing NLP transformer architectures for large-scale text classification, contributing to improvements that led to a 10% increase in model accuracy. Enhanced data preprocessing pipelines for massive unstructured datasets using Apache Beam and TensorFlow Datasets, reducing I/O bottlenecks and decreasing model preparation latency by 30%. Participated

NLP Transformer Architecture Apache Beam Tensorboard Summarization

Education

Degrees, certifications, and relevant coursework

University of Calabria

Master’s Degree in Computer Science, Computer Science

Activities and societies: Dissertation: Advanced Techniques in Natural Language Processing and Large Language Models

Completed a Master's degree focusing on advanced computer science concepts. Specialized in Natural Language Processing and Large Language Models, culminating in a dissertation on these topics.

University of Calabria

Bachelor of Science in Computer Science, Computer Science

Obtained a Bachelor of Science in Computer Science, building a strong foundation in the field. This degree provided the essential knowledge for further specialization in advanced computing topics.