AI Engineer

Christine Straub

San Clemente, United States 949-***-**** ****************@*****.*** linkedin Github Portfolio Summary

Senior AI Engineer with 8+ years building production-scale AI systems, specializing in backend AI services, distributed systems, and real-time AI processing. Expert in LLM integration, fault-tolerant architectures, and data transformation pipelines. Deep expertise in asyn- chronous workflows, streaming architectures, and enterprise AI solutions. Professional Experience

RIOS Intelligent Machines Nov 2024 - Jun 2025

Senior Machine Learning Engineer Palo Alto

• Architected distributed systems with Docker containerization and video stitching for edge AI applications, delivering production deploy- ment infrastructure with high-performance computing capabilities.

• Created custom AI/ML tooling including "Thoth Frames Retriever" FiftyOne plugin with multi-camera support and 5 core computer vision operators, improving team productivity by 60%.

• Engineered factory pattern data architecture with dynamic batching and sequence_id organization for time-series deep learning models, optimizing data pipeline performance from days to hours.

• Built production MLOps infrastructure using Metaflow, Kubernetes, and YOLO-based computer vision with parallel processing archi- tecture, reducing latency by 75% through real-time optimization. Unstructured IO May 2023 - Apr 2025

Senior Machine Learning Engineer San Francisco

• Designed multi-agent LLM architecture using Pydantic AI and Model Context Protocol (MCP), building scalable AI workflows that interface with multiple APIs and enabling intelligent document understanding at enterprise scale.

• Fine-tuned deep learning models on 11,000+ technical PDFs using PyTorch/TorchVision, delivering 10% increase in layout detection accuracy and 13% reduction in missing text detection for production systems.

• Evaluated 10+ Vision Language Models (Claude 3.5/3.7, GPT-40, Gemini 1.5/2.0) for table structure recognition, implementing sophis- ticated prompt optimization techniques that significantly improved document parsing accuracy.

• Open source contributor with 300+ merged PRs and 500+ code reviews on GitHub, building developer tools used by 50K+ engineers globally.

Sapient Logic Jul 2023 - Feb 2024

Tech Lead(AI/ML) San Diego

• Led development of two critical Department of Defense AI prototypes (POLAR & COMET), delivering production-ready machine learn- ing systems that enhanced military intelligence operations for 10,000+ active users across tactical environments.

• Architected end-to-end mobile OCR pipeline processing 4+ languages (Arabic, Russian, Chinese, French) with 95%+ accuracy for tactical document capture in network-denied environments.

• Optimized mobile ML performance for field-deployed Android devices, achieving sub-2-second OCR processing for combat-ready in- telligence gathering.

• Built microservices-based intelligence platform serving 500+ analysts across multiple security classifications with 99.9% uptime SLA. RIOS Intelligent Machines May 2022 - Jul 2023

Senior Machine Learning Engineer Palo Alto

• Built production AutoML systems with MLflow and Kubeflow, reducing model development cycles from weeks to days while maintaining SOTA performance.

• Optimized computer vision models for manufacturing QC, improving defect detection by 40% through transfer learning and custom data augmentation pipelines.

• Developed scalable inference APIs handling 1M+ requests/day using FastAPI and horizontal pod autoscaling, reducing operational costs by 35%.

• Deployed edge AI solutions using ONNX and TensorRT, enabling real-time inference on resource-constrained devices with <50ms latency. Speechlabs AI Jun 2022 - Jun 2023

Senior Software Architect San Francisco

• Architected and implemented scalable AWS cloud infrastructure supporting AI-powered speech-to-speech translation pipeline for pro- fessional video dubbing.

• Designed microservices architecture handling large language model APIs with optimized performance.

• Built real-time monitoring and observability systems using Sentry and Loggly for ML model performance tracking and system health.

• Developed core API components interfacing with large language models for speech recognition, machine translation, and text-to-speech synthesis.

• Implemented multi-language translation and multi-accent dubbing backend services supporting 15+ languages. Sapient Logic Mar 2021 - Feb 2023

Senior Software Engineer Tech Lead San Diego

• Architected and led development of enterprise-grade Electronic Health Record (EHR) application serving Texas-based hospital system.

• Designed cloud-based EHR architecture on AWS (EC2, RDS, VPC, ECS, ECR) supporting 10,000+ patient records with 99.9% uptime.

• Architected communication systems and network infrastructure including patient registration, hospital systems, and external service in- tegrations.

• Led security audit processes for end-user access, HIPAA compliance, and regulatory requirements with 100% audit success rate.

• Implemented HL7 and FHIR protocol integration enabling seamless medical data exchange between systems. Collegis Education Apr 2021 - Apr 2022

Senior Data Scientist Chicago

• Engineered ML-powered call analytics platform leveraging GCP Speech-to-Text and Natural Language APIs to process customer calls and extract sentiment insights for call center performance optimization.

• Built production-grade ETL infrastructure integrating 8+ data sources (Salesforce, SQL Server, LMS Canvas, Five9) using Fivetran and DBT, achieving high availability and supporting daily analytical workloads.

• Developed interactive business intelligence dashboards in ThoughtSpot, delivering enrollment analytics to stakeholders and enabling data-driven decision making for institutional growth. PlusOne Company Apr 2019 - May 2021

Senior Data Scientist Salt Lake City

• Successfully deployed BERT-based call segmentation and sentiment analysis models to production, processing millions of customer in- teractions monthly.

• Engineered NLP pipeline processing 10,000+ daily voice calls, implementing unsupervised ML algorithms (TopicRank, TextRank, YAKE, AutoPhrase) for keyphrase extraction with 95% accuracy improvement.

• Implemented model interpretability using LIME and ELI5 frameworks, enabling stakeholder understanding of ML decision-making processes and regulatory compliance.

Moody's Analytics Sep 2017 - Mar 2021

Software Engineer Silicon Valley

• Collaborated with cross-functional team developing geospatial analytics platform that integrated location intelligence with financial risk assessment, enabling portfolio managers to visualize $200B+ in assets against natural disaster probability zones.

• Reduced risk exposure by 25% for institutional clients through data-driven investment decisions and advanced predictive modeling algo- rithms.

Education

University of California, Berkeley

Computer Science

University of California, Berkeley

Cognitive Science

Areas of Expertise

• Python, JavaScript, Typescript, React, Next.js, Node.js, Flask, Django, Large Language Models, Artificial Intelligence, Generative AI-

, Deep Learning, Machine Learning, RAG, NLP, Cloud Computing, Distributed Systems, Software Architecture, Microservices, Data Engineering, OCR, Computer Vision, Big Data, Data Pipelines, Data Science, Data Warehouse, Data Analysis, Database, ETL, BERT, APIs, Full Stack Development, Backend Development, System Design, Software Engineering, Transformers, Lang Chain, Vector Data- bases, Faiss, Pinecone, Langflow, Parallel Programming, Chroma DB, AWS, GCP, Kubernetes, OpenCV, Databricks, GraphQL, Docker, YOLO, GPU, CUDA, MLOps, Snowflake, JAX, Airflow, Hugging Face, Rest APIs, Elastic Search, Text Preprocessing, PostgreSQL-

, MongoDB, Redis, ELK, GPT, T5, BLUE, ROUGE, Perplexity, MySQL, SQL, TensorFlow, PyTorch, Spark, Open Source Projects, NoSQL, NumPy, Real-Time Operating System, Fraud Detection, Shell Scripting, Relational Databases, Sequence Modeling, SQL data modeling, Vector Embeddings, Prompt Engineering, Distributed system design, Project Management, Product Development, Product Management, Scrum Methodology, Agile Methodology, Fintech, Robotics, Cybersecurity, Enterprise Applications, SaaS, OpenAI Certificates

• Deep Learning Specialization: DeepLearning.AI and Stanford University

• Machine Learning Specialization: DeepLearning.AI and Stanford University

• Machine Learning Engineering for Production(MLOps) Specialization: Deep learning.AI and Stanford University

• IBM Data Science Specialization: IBM

• Google Data Analytics: Google

• Business Intelligence: Google

Projects

Cybersecurity Threat Intelligence Engine

• BERT-powered MITRE ATT&CK mapping system processing 1M+ security events daily with 91% threat classification accuracy. Threat Intelligence from Social Media

• Architected distributed data ingestion pipelines handling high-volume streams from 5+ social platforms including Gab, Truth Social, 4Chan, and Telegram.

Cryptocurrency Trading Signal Engine

LSTM-based Bitcoin prediction system achieving 73% accuracy with 50ms latency real-time processing. Agricultural Drone Vision System

• Faster R-CNN ResNet101 model analyzing 3,186+ aerial images for pineapple detection and yield forecasting, enabling precision agri- culture for African farmers.

Veteran Benefits AI Platform

• Next.js + Node.js full-stack system integrating VA APIs and HR platforms with an intelligent eligibility engine for automated veteran benefits assessment.

Biomedical Data Analysis System

• Developed AI-powered diagnostic systems for rapid bacterial infection identification and antibiotic susceptibility testing, reducing testing time from days to hours.

Semantic Data Quality Engine

• Engineered advanced semantic type detection systems for an augmented data quality platform, enabling organizations to measure, monitor, and improve data quality through machine learning and natural language processing. Multi-model Forecasting System for Energy Log Platform

• Developed advanced time series forecasting solutions for the Energy Log Server platform, enabling predictive analytics on massive vol- umes of operational data collected from multiple energy sources and infrastructure components. Satellite Imagery Segmentation

• MaskRCNN-based satellite imagery segmentation system processing multi-band geospatial data with automated urban feature detection and classification.

Real-Time Conversational AI Platform

• GPT-4o + LangChain backend serving 10K+ daily users with 25\% response time reduction through optimized streaming architecture

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