# Morgan Mastrangelo

Morgan Mastrangelo is a remote worker on Himalayas, Senior AI/ML Engineer at Drivingo, based in United States.

Source: https://himalayas.app/@morganmastrangelo

```text
Seasoned AI/ML Engineer specializing in Generative AI solutions.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | United States |
| Authorized to work in | United States |
| Job categories | AI ML Engineer, AI Architect, Machine Learning Engineer, Data Scientist, DevOps Engineer, ML Software Engineer, AI Engineer, AI ML Engineering Manager, Senior ML Engineer |
| Skills | AWS, Vertex AI, Lang Chain, LLaMA 2, BERT, RAG, Pinecone, Faiss, Node, Django, Flask, fastAPI, Hasura, PostgreSQL, GraphQL, REST APIs, Docker, Kubernetes, Terraform, NodeJS, GitHub Actions, Apache Spark, Airflow, Databricks, BigQuery, Dataflow, MLFlow, React, TypeScript, Angular, Tailwind, Google Cloud Platform, Stackdriver, Prometheus, Grafana, Apache Beam, GuardRails, GitHub, SQL, TensorFlow, OpenTelemetry, Azure, Datadog |
| Website | https://morganmdev.com |

## What I'm looking for

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

## About

```text
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

### Senior AI/ML Engineer (current)

Drivingo. May 2023 - Present

```text
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
```

Skills: Generative-AI, Pinecone, Faiss, MLFlow, fastAPI, Kubernetes, Azure, GCP, RAG

### AI Platform Engineer

Novatio Solutions. Jul 2018 - Apr 2023

```text
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
```

Skills: GCP, BigQuery, Dataflow, Vertex-AI, Airflow, fastAPI, GraphQL, BERT, Kubernetes

### Machine Learning Intern

[Google](https://himalayas.app/companies/google). Jan 2017 - May 2018

```text
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
```

Skills: NLP, Transformer-Architecture, Apache-Beam, Tensorboard, Summarization

## Education

### 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

```text
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

```text
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.
```

## Tech stack

- Apache Spark
- Microsoft Azure
- Google Cloud Platform
- Stackdriver
- GitHub
- Kubernetes
- GitHub Actions
- PostgreSQL
- Gmail
- Node.js
- Django
- Tailwind CSS
- Databricks
- Terraform
- TensorFlow
- MLflow
- FastAPI
- Grafana
- Prometheus
- OpenTelemetry
- Datadog
- Hasura
- GraphQL
- Airflow
- Apache Beam
- GuardRails
- Amazon Web Services (AWS)
- SQL

To contact Morgan, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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