About
Natalie Olivo, Machine Learning Engineer
Some of the greatest insights are buried in many different sources of unstructured data. I've dedicated my career to providing transparency to our ever connecting world.
I am a 12 year experienced Data professional whose focus has been on taking small startups from 0 to 1 in terms of ML integration. While juggling the many hats required to "make it work" in scrappy environments is exciting, I have more recently relished in the opportunity to specialize as a Machine Learning Engineer and see my efforts reach unicorn scale. I've worked on innovative products that have won awards, shaped industries, and made history. I have specialized knowledge in extracting information from large amounts of text, and I'm currently making strides into computer vision and creating art with Diffusion Models.
Resume
Professional Summary
AI/ML Engineer with 8+ years of experience designing and deploying scalable machine learning systems, data pipelines, and AI-powered solutions across government, insurance, and supply chain sectors. Proven track record of architecting enterprise-scale ML frameworks, building agentic AI systems, and leading cross-functional technical initiatives.
Core Technical Skills
Machine Learning & AI
Cloud & Infrastructure
Data Engineering
Development & MLOps
Specialized Tools & Languages
Professional Experience
Artificial Intelligence Engineer
Omada | Nov 2024 - Present
Alicante, Valencian Community, Spain · Hybrid
- Scaled an event-driven service from experimental collaborative filtering prototype, exposing anomaly detection capabilities as RESTful tools for LLM chatbot agent
- Collaborated with SMEs to generalize anomaly scoring for diverse organizational models and implemented configurable hierarchical scoring separating data-driven clustering from customer-defined groupings, maintaining mathematical validity through proper vector normalization
- Skills: Mathematical Programming · Agentic Architecture · AI Product Development · sklearn
Data Engineer Lead
Progressive Insurance | Jan 2024 - Jul 2024 (7 mos)
Cleveland, Ohio, United States · Remote
- Architected service orchestration platform implementing patterns that later formalized as MCP and LangGraph: built standardized interface layer coordinating legacy and novel services (LLM APIs, template systems, feedback collection, data storage) through plugin architecture, composition workflows, and interchangeable components
- Served 22K users with production reliability while enabling researchers to swap LLM providers and prompts via configuration, reducing iteration cycles from months to days
- Skills: Microservices · AI Software Development · API Development
Data Science Consultant - Top Secret Clearance
Various | Apr 2023 - Jan 2024 (10 mos)
Cleveland, Ohio, United States · Remote
- Supplemented existing image segmentation pipeline with jurisdiction classification by first extracting plate features scraped from public sources (scrapy), indexing those features, and performing nearest neighbor search - similar to RAG but for images
- Leveraged existing tools to create drift detection tool, which established benchmarks and alternative processing for non-ideal image-capture conditions
- Delivered rapid prototyping and repeatable patterns with customized CI/CD pipelines
- Skills: PyTorch · Edge Deployment · ONNX · Supervised Fine Tuning · Strategy · Software Deployment
Machine Learning Engineer II
Interos Inc | Jan 2022 - Oct 2022 (10 mos)
Arlington, Virginia, United States
- Architected and scaled an orchestrator coordinating ML models, human validation, and knowledge graph ingestion
- Built information parsing framework for multi-modal document processing (PDFs, images, tables), implementing entity matching, data normalization, and deduplication across diverse document formats and sources
- Crafted features which supported re-training of models, research tooling, and governance using version control, CI/CD pipelines, and thoughtful database schema and API design
- Clients: NASA, DOD, Mastercard, MassMutual, Delta
- Skills: RLHF · Event-Driven Architecture · Huggingface · AWS Textract · AWS GroundTruth · PySpark · CI/CD · Kubernetes
Machine Learning Engineer
Interos Inc | Oct 2019 - Jan 2022 (2 yrs 4 mos)
Arlington, Virginia
- Shipped DAGs that automate key information discovery: scraping company websites, routing proposals to Human-in-the-Loop validation, and storing verified relationships as structured data
- Created a rigorous unit-testing framework enabling reliable simulation of external dependencies and catching issues previously only observed in production
- Led a monthly ML research reading group focused on emerging methods and foundational papers
- Skills: FastAPI · EDA · Docker · pytest · Prefect Dataflow Automation
Machine Learning Engineer
SoKat.co / Dovel Technologies | Nov 2018 - Sep 2019 (11 mos)
Washington D.C. Metro Area
- Contractor for Grant Solutions of The Department of Health and Human Services to create and support 2-time Government Innovation Award winning product Recipient Insight
- Engineered a distributed PySpark pipeline on EMR with AWS Batch orchestration, an internally managed precursor to what AWS Glue later standardized
- Created a TF-IDF-powered entity-resolution tool used to match DUNS and EIN identifiers to organization name and address
- Skills: SQL · Feature Engineering · Random Forest · AWS Batch · PySpark · Tableau · Terraform
Featured Projects
CuyaCourts
Jan 2023 - Dec 2023
A database of Cuyahoga County's Criminal Court Case docket, available for download. Inspired by Harvard's Caselaw Access Project. A community asset to support educational content on data literacy and technology.
Technologies: Selenium · boto3 · SQLAlchemy ORM · PostgreSQL · AWS Lambda · AWS ECR · AWS RDS · GitHub Actions
Certifications
Data Integration and API Development for AI Applications
AWS Certified Cloud Practitioner
Advanced SQL for Application Development
Developing CI/CD Solutions with Azure DevOps
Introducing Semantic Kernel: Building AI-Based Apps
Education & Training
Immersive Data Science Bootcamp
General Assembly | Sep 2017 - Dec 2017 (4 mos)
Washington DC-Baltimore Area
- Participated in a 12-week, full-time, project-based training program focused on statistics, data analysis, visualization, and machine learning
- Completed project with Industry Partner which prescribed ways to drive tweet engagement using Tweepy, AWS Rekognition, Random Forest
- Won a blogging competition by conducting research on the Effectiveness of Humanitarian Aid using boosted tree-based models
- Skills: Experimental Design · SQL · Data Cleaning · Statistics · Feature Engineering · EDA
Bachelors of Science in Actuarial Science
Ball State University | Sep 2009 - May 2013
Muncie, Indiana
- Passed Society of Actuaries exams: Financial Mathematics (Aug 2011), Probability and Statistics (May 2012)
- Served as president of Gamma Iota Sigma, Risk Management and Insurance Professional Fraternity
- VP Finance for social sorority Alpha Chi Omega
Awards & Recognition
- Supported 2-time Government Innovation Award winning product (Recipient Insight)
- Won blogging competition at General Assembly for research on Effectiveness of Humanitarian Aid
- Interos Virtual Talent Show Winner - Live piano and vocal performance
Early Career Experience
Senior Vendor/Industrial Base Analyst
Pantheon Integrated Solutions, Inc. | Apr 2018 - Oct 2018 (7 mos)
Washington DC-Baltimore Area
- Applied data science solutions and strategies to the Department of Navy's VIRGINIA Class Program Office
- Established and incorporated machine learning capabilities to enhance program management support
- Created data pipelines for labor hour and material cost data from prime shipbuilders and sub-tier vendors
Actuarial Contractor
Lynchval Systems Worldwide Inc | Mar 2017 - Mar 2018 (1 yr 1 mo)
The Pension Benefits Guarantee Corporation (PBGC)
- Delivered an annual data scraping, collecting, and validation process for Pension Insurance performance projections
- Utilized the Department of Labor Form 5500 website, Visual Basic Macros, MS Excel to create a database for 450 Single-employer plans and 250 Multi-employer plans
- Automated checking and reasonability processes by writing Visual Basic macros
Actuarial Analyst
Willis Towers Watson | Jul 2013 - Jun 2016 (3 yrs)
Greater Boston
- Assisted in bulk lump sum offerings and accrued benefit computation projects
- Completed pension valuation work per PPA, PBGC and ASC guidelines
- Simplified reporting processes by automating and maintaining client specific spreadsheets
Actuarial Intern
Mercer | Jun 2012 - Aug 2012 (3 mos)
Louisville, Kentucky
- Specialized in the completion of annual IRS government forms for qualified retirement plans
- Assisted in producing actuarial valuation reports for defined contribution pension and post-retiree medical plans
- Generated and reviewed employee-specific pension calculations with proprietary software and plan documents
- Skills: Employee Benefits · Data Cleaning · Mathematics · Statistical Analysis · EDA · Exploratory Data Analysis · Mathematical Programming · Data Analytics · Relational Databases
Actuarial Intern
CNA Insurance | Jun 2011 - Aug 2011 (3 mos)
Chicago, Illinois
- Contributed to an ongoing Reserve Review for Professional Liability automotive, worker's compensation, property and general liability lines of insurance
- Analyzed past claims data to develop and justify loss development factors used to project future losses
- Collaborated with internal business divisions to compare different loss reserve development methods
- Skills: SQL · Employee Benefits · Data Cleaning · Mathematics · Statistical Analysis · EDA · Data Analytics · Relational Databases
Actuarial Intern
Swiss Re | May 2010 - Aug 2010 (4 mos)
Fort Wayne, Indiana
- Evaluated Life and Health reinsurance pricing with industry specific software
- Attended seminars and completed assignments over different aspects of actuarial work in Life and Health Reinsurance
- Skills: Employee Benefits · Data Cleaning · Mathematics · Statistical Analysis · EDA · Data Analytics · Relational Databases