Jacob Stewart
@jacobstewart
Hands-on engineering leader building scalable AI systems and cloud-native automation.
What I'm looking for
I lead cross-functional AI and engineering teams to translate research into production systems, specializing in LLMs, RAG pipelines, multimodal models, and cloud-native microservices. I combine a full-stack background in React/Angular frontends with Python-based backends (Django, Flask, FastAPI) and robust MLOps to deliver measurable impact across industries.
My work includes architecting distributed training and serving pipelines, establishing MLOps and observability practices, and reducing AI compute costs through dynamic orchestration. I prioritize reproducibility, governance, and collaboration with academic and enterprise partners to accelerate R&D and drive production adoption of advanced AI solutions.
Experience
Work history, roles, and key accomplishments
Head of Engineering, AI R&D
Swarmauri
Jan 2023 - Aug 2025 (2 years 7 months)
Led architecture and engineering of large-scale AI systems, deploying RAG pipelines and distributed training to accelerate research throughput by 40% and reduce AI compute spend by 24%.
Cloud Automation & AI Engineer
Cisco
Jun 2019 - Aug 2022 (3 years 2 months)
Engineered cloud automation and predictive AI systems for network optimization, improving operational response times by 33.3% and embedding ML pipelines into DevOps workflows.
Full Stack Engineer
Lion Oval
Jan 2014 - Feb 2018 (4 years 1 month)
Built production web applications and integrated AI components such as recommendation engines and predictive analytics, deployed via AWS with CI/CD and caching for scalability.
Education
Degrees, certifications, and relevant coursework
Texas A&M University
Bachelor's Degree, Political Science
2009 - 2011
Completed a Bachelor's Degree in Political Science at Texas A&M University from August 2009 to May 2011.
Blinn College
Associate's Degree, Sociology
2007 - 2009
Completed an Associate's Degree in Sociology at Blinn Junior College from August 2007 to May 2009.
Tech stack
Software and tools used professionally
D3.js
Chart.js
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Pandas
MySQL
PostgreSQL
MongoDB
Node.js
Django
Next.js
Figma
Adobe XD
Redis
Terraform
Jira
AngularJS
JavaScript
HTML5
ES6
PHP
TensorFlow
PyTorch
MLflow
scikit-learn
FastAPI
Grafana
Prometheus
GraphQL
Elasticsearch
WordPress
Ansible
cPanel
pytest
Hugging Face
LangChain
Weights & Biases
Pinecone
Ray
Scale AI
Availability
Location
Authorized to work in
Job categories
Skills
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