Christine Straub
Irvine,CA
Summary
Innovative Full-Stack Artificial Intelligence Engineer / Machine Learning Engineer with 7+ year’s experience in application design, development, testing and deployment. . Experienced in Software Engineering, Generative AI, Deep Learning, Machine Learning, Natural Language Processing, Data Engineering and Computer Vision.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Senior Machine Learning Engineer
Unstructured IO
San Francisco, CA
05.2023 - Current
- Implemented Full-Page OCR (vs Individual-Block OCR).
- Implemented supplementing document layout detected by layout detection model with elements from the Full-Page OCR.
- Worked on Vision Model Development for document understanding, ensuring a deep focus on accurately interpreting and processing textual and visual information. Take charge of training object detection models, such as YOLO and DETR, to enhance the system's ability to identify and categorize objects within documents accurately.
Lead Software Engineer (AI /ML/Software Engineer)
Sapient Logic
San Diego, CA
07.2023 - 02.2024
- Developed a system to provide an Optical Character Recognition (OCR) capability to ingest locally taken pictures or documents for use in Common Operational Picture (COP) updates, or detailed reporting.
- Developed a system to utilize the results of the OCR capability or other ingested foreign language material if translate from French, Arabic, and Chinese into English.
- Design and Develop Collections Requirements Management – The system is expected to provide the ability to manage intelligence collection in a semi-automated manner in which the collections manager is able to quickly validate returns from collection assets and distribute to the customer.
Machine Learning Ops | Machine Learning Engineer
RIOS Intelligent Machines
Palo Alto, CA
05.2022 - 07.2023
- Built and deployed AI-powered end-to-end robotic work cells that integrate within existing workflows to help enterprises automate their entire factories, warehouses, or supply chain operations.
- Designed, prototyped, trained and delivered machine learning models to revolutionize manufacturing, supply chains, e-commerce, and other industrial applications.
- Worked on Data ETL (extract, transform and load) tasks which includes extracting image data from compressed formats and transforming data for ingestion into training pipelines.
Senior Software Architect
Speechlab AI
San Francisco, CA
06.2022 - 06.2023
- Build core components of the API to access large language models.
- Wrote APIs and backend services to support multi-language translation and multi-accent dubbing.
- Designed data models, implemented backend logic, and wrote APIs to implement the Paywall system by integrating the Paddle platform.
Natural Language Processing Engineer
PlusOne Communications
Salt Lake City, UT
03.2020 - 05.2023
- Deployed Call Segmentation and Sentiment Analysis models using BERT.
- Researched, prototyped (from research papers), built features and optimized(hyper-parameter tuning) the state-of-the-art machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN etc., using scikit-Learn, Keras, TensorFlow on CPU/GPU environments for student text-classification.
- Automated sentiment analysis performed using Google Natural Language API and Vader.
Senior Software Engineer Technical Lead
Sapient Logic
San Diego, CA
05.2021 - 02.2023
- Designed, Architected, Develop and Lead a team to build Electronic Healthcare Record (EHR) application for patient registration and patient management [ HIPPA Compliant].
- Architected EHR’s Communication System, Network, Patient Registration System, Hospital Registration & other External Services.
- Supervised implementation and deployments of HIPAA regulatory compliance requirements such as: Authentication, Auto Log-off, Adit & Alerts, Encryption, Hosting & Infrastructure & Authorization.
Artificial Intelligence Specialist
Upwork
San Francisco, CA
01.2018 - 02.2023
- Designed, Managed, and built end-to-end AI systems combining different techniques as needed, including ML, Computer Vision, NLP, Robotics, Chatbots, Recommendation Engines, Trading Bots.
- Designed predictive maintenance model that reduced equipment downtime by 40%, saving the company $$ monthly.
- Implemented a Natural Language Processing Solution to a developed model that predicted the context of the ATT&CK framework data with 94% accuracy; resulting in reduction of false-positives in vaccine mis-identification by 50%.
- Worked with 70+ clients in Upwork.
Natural Language Processing Engineer
Soul Machines
San Francisco, CA
11.2021 - 06.2022
- Built a Conversational bot using Rasa Chatbot Engine.
- Designed and built requisite services for Dominique, a digital teaching assistant built by Soul Machines for Bill O'Connor's Innovation class at Maryville University.
- Built chatbot models that can understand the intent of the user, learn from it, respond intelligently, and perform actions if required with an efficient learning mechanism with RASA and Google Dialogflow CX.
Google Data Engineer
Collegis Education
Chicago, IL
05.2021 - 04.2022
- Provided assessment of potential roadmaps for cloud technologies with a focus on Synapse on-prem infrastructure and Measurement Enablement GCP infrastructure.
- Deployed Call Segmentation and Sentiment Analysis models using BERT.
- Developed Python scripts for extracting data from web services API's and loading into databases.
- Extracted audio calls from phone burner, converted to text using Cloud Speech to Text and performed sentiment analysis using Cloud Natural Language API.
Senior Software Engineer
Inxeption
San Francisco, CA
04.2021 - 12.2021
- Developed a set of utility and internal websites for the company, enabling the end users (both internal and external) to get instant price estimates for shipping services, such as FTL, LTL and Domestic shipments
- Deployed and managed containerized web applications using Docker and Amazon ECS service which reduced deployment time from 1 week to 2 days, and reduced development and maintenance costs by 50%
Artificial Intelligence Engineer
Sapient Logic
Sapient Logic, San Diego
01.2021 - 05.2021
- Utilized Python and Natural Language Processing libraries to developed model that predicted the context of the ATT&CK framework data with 94% accuracy; resulting in reduction of false-positives in vaccine mis-identification by 50%
- Developed advanced machine learning models to detect threats, with 90% accuracy in predicting malicious activities, and automated the deployment of ML models on production servers
- Built UIs (React.js) to visualize aggregation results of the machine learning model that classifies cyberattack techniques based on the MITRE ATT&CK framework.
Software Engineer
Moody's Analytics - RMS
Silicon Valley, CA
09.2017 - 04.2021
- Worked productively with Product Team to understand requirements and business specifications around Portfolio Management, Analytics and Risk.
- Designed, Developed, and Tested Location Intelligence Products and other Insurance products.
- Tested and debugged software components to ensure optimal performance and quality assurance.
Student Instructor
UC Berkeley
Berkeley, CA
08.2015 - 12.2017
- In association with IEEE, taught students in building a 'micro mouse' autonomous vehicle, CS61A Lab Assistant.
Software Product Management Intern
Moody's Analytics - RMS
Silicon Valley, CA
06.2017 - 09.2017
- Building machine learning-based models for data analysis and visualization on spark and zeppelin.
- Resourcefully performed multiple statistical analyses on the company’s datasets and based on their results proposed important changes to the data-processing pipeline.
Software Design Engineer Intern
SAP - Concur
Bellevue, WA
06.2017 - 08.2017
- Designed and implemented programs to detect and prevent fraudulent activities, resulting in a 2% reduction in number of incidents of fraud.
Undergraduate Researcher
UC Berkeley's AUTOLAB
Berkeley, CA
08.2015 - 08.2016
- Research in Robotics and Automation Sciences led by Professor Ken Goldberg and Pieter Abbeel.
Education
Bachelor’s of Arts (B.A) - Computer Science
University of California - Berkeley
01.2017
Bachelor’s of Arts (B.A) - Cognitive Science
University of California - Berkeley
01.2017
Skills
- Python
- Generative AI
- Deep Learning
- Machine Learning
- Model Development
- Time-Series Analysis
- Algorithm Development
- Data Analytics
- Statistical Analysis
- Computer Vision
- Natural Language Processing
- Optical Character Recognition
- Predictive Modeling
- Artificial Neural Networks (ANN)
- Recommendation Systems
- JavaScript / Electron / React
- AWS / GCP
- MySQL / NoSQL
Certification
- Generative AI Fundamentals - Machine Learning & AI, Google Cloud, 2023
- Deep Learning Specialization, Stanford University, DeepLearning AI, 2023
- Machine Learning Specialization, Stanford University, DeepLearning AI, 2023
- Google Business Intelligence Specialization, Google, 2023
- Google Data Analytics Specialization, Google, 2023
- IBM Data Science Specialization, IBM, 2023
- Neaural Networks, Stanford University, DeepLearning AI, 2023
- AI For Everyone, DeepLearning AI, 2023
- Cloud Digital Leader, Google Cloud, 2023
- Certified Scrum Product Owner (CSPO), Scrum Alliance, 2020
Timeline
Lead Software Engineer (AI /ML/Software Engineer)
Sapient Logic
07.2023 - 02.2024
Senior Machine Learning Engineer
Unstructured IO
05.2023 - Current
Senior Software Architect
Speechlab AI
06.2022 - 06.2023
Machine Learning Ops | Machine Learning Engineer
RIOS Intelligent Machines
05.2022 - 07.2023
Natural Language Processing Engineer
Soul Machines
11.2021 - 06.2022
Senior Software Engineer Technical Lead
Sapient Logic
05.2021 - 02.2023
Google Data Engineer
Collegis Education
05.2021 - 04.2022
Senior Software Engineer
Inxeption
04.2021 - 12.2021
Artificial Intelligence Engineer
Sapient Logic
01.2021 - 05.2021
Natural Language Processing Engineer
PlusOne Communications
03.2020 - 05.2023
Artificial Intelligence Specialist
Upwork
01.2018 - 02.2023
Software Engineer
Moody's Analytics - RMS
09.2017 - 04.2021
Software Product Management Intern
Moody's Analytics - RMS
06.2017 - 09.2017
Software Design Engineer Intern
SAP - Concur
06.2017 - 08.2017
Student Instructor
UC Berkeley
08.2015 - 12.2017
Undergraduate Researcher
UC Berkeley's AUTOLAB
08.2015 - 08.2016
Bachelor’s of Arts (B.A) - Computer Science
University of California - Berkeley
Bachelor’s of Arts (B.A) - Cognitive Science
University of California - Berkeley
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