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Resume
My Resume.
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Professional summary
AI, MLOps, and operational software experience.
AI engineer with 6 years of experience designing and deploying scalable machine learning and MLOps pipelines.
Skilled in Python, AWS SageMaker, Databricks, Spark, and PyTorch for building and operationalizing models.
Built low-latency inference services and led cross-functional teams to deliver end-to-end AI solutions.
Skills
Technical depth across model building, systems design, and deployment.
Languages
Python, TypeScript, JavaScript, SQL
Frameworks
Flask, FastAPI, React, Node.js
Machine Learning
PyTorch, XGBoost, Random Forest, PEFT tuning, embeddings, feature engineering, conversational AI, deep learning, reinforcement learning
Data and MLOps
Databricks, Spark, ML pipelines, automation, model training, deployment
Cloud and DevOps
AWS SageMaker, EC2, S3, Neptune, GCP, Docker, CI/CD, Azure Cloud, Git
Other
API design, systems design, workflow automation, CA Real Estate Salesperson License, JIRA
Experience
Applied AI and systems work across biotech and manufacturing.
Allogene Therapeutics
Scientist
- Designed internal MLOps pipelines on Azure Cloud for classification, regression, and clustering.
- Trained models using PyTorch, Random Forest, and XGBoost, applying deep learning techniques to improve accuracy.
- Built automated pipelines using AWS, Databricks, Pandas, and Spark with version control in Git.
- Tuned a GPT-4 conversational AI model using PEFT.
- Led process development efforts on the Datalake Engineering Team.
- Executed DOE programs to generate standardized datasets.
Allogene Therapeutics
Senior Associate Scientist
- Led Benchling implementation and automation roadmap.
- Built ML prototypes using reinforcement learning for early predictive systems.
- Served as SME for automated processing systems.
- Upgraded pipelines and data flows across three sites.
- Built internal dashboards and analytics tools.
Bristol Myers Squibb
Manufacturing Associate II
- Improved operational workflows for commercial CAR T manufacturing.
- SME for Xuri Wave bioreactor and SOP optimization.
- Built scheduling systems for cross-shift operations.
- Wrote validation and process transfer documentation.
Kite Pharma
Cell Therapy Specialist
- Led deviation reduction and data centralization projects.
- Redesigned batch record flows to support digital transition.
- Built cloud automation tools using Power Automate and integrated workflows tracked via JIRA.
Education
University of California, Davis
Jan 2012 - Jan 2016UC Davis
Bachelor of Arts, Plant Molecular Biology
Selected for the scientific foundation that now informs my work across AI, systems, and automation.
Text version
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DEVIN OTTO Los Angeles, CA | 310 971 1108 | [email protected] | linkedin.com/in/devinjotto Professional Summary AI engineer with 6 years of experience designing and deploying scalable machine learning and MLOps pipelines. Skilled in Python, AWS SageMaker, Databricks, Spark, and PyTorch for building and operationalizing models including fine-tuned GPT-4. Built low-latency inference services and led cross-functional teams to deliver end-to-end AI solutions. Skills Languages: Python, TypeScript, JavaScript, SQL Frameworks: Flask, FastAPI, React, Node.js Machine Learning: PyTorch, XGBoost, Random Forest, PEFT tuning, embeddings, feature engineering, Conversational AI, Deep Learning, Reinforcement Learning Data and MLOps: Databricks, Spark, ML pipelines, automation, model training and deployment Cloud and DevOps: AWS SageMaker, EC2, S3, Neptune, GCP, Docker, CI/CD, Azure Cloud, Git Other: API design, systems design, workflow automation, CA Real Estate Salesperson License, JIRA Experience Allogene Therapeutics Aug 2023 - May 2025 Scientist South San Francisco, CA Designed internal MLOps pipelines on Azure Cloud for classification, regression, and clustering Trained models using PyTorch, Random Forest, and XGBoost, applying deep learning techniques to improve accuracy Built automated pipelines using AWS, Databricks, Pandas, and Spark with version control in Git Tuned a GPT-4 conversational AI model using PEFT Led Process Development efforts on the Datalake Engineering Team Executed DOE programs to generate standardized datasets Allogene Therapeutics Feb 2021 - Aug 2023 Senior Associate Scientist South San Francisco, CA Led Benchling implementation and automation roadmap Built ML prototypes using reinforcement learning for early predictive systems Served as SME for automated processing systems Upgraded pipelines and data flows across three sites Built internal dashboards and analytics tools Bristol Myers Squibb Sep 2019 - Jan 2021 Manufacturing Associate II Seattle, WA Improved operational workflows for commercial CAR T manufacturing SME for Xuri Wave bioreactor and SOP optimization Built scheduling systems for cross shift operations Wrote validation and process transfer documentation Kite Pharma Feb 2018 - Sep 2019 Cell Therapy Specialist El Segundo, CA Led deviation reduction and data centralization projects Redesigned batch record flows to support digital transition Built cloud automation tools using Power Automate and integrated workflows tracked via JIRA Education University of California, Davis Bachelor of Arts, Plant Molecular Biology Jan 2012 - Jan 2016