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Blake Martin

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Houston, Texas, United States
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Starting at USD60/hour
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Timeline

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Résumé

Jobs verified_user 0% verified
  • Tempus AI
    Lead/Senior AI Engineer
    Tempus AI
    Feb 2019 - Nov 2025 (6 years 10 months)
    Developed and scaled precision-medicine and clinical decision support platforms by leading a cross-functional team of 6 engineers to deliver a Databricks-centric AI/ML and GenAI platform supporting oncology, diagnostics, and real-world evidence workflows for 10,000+ clinical and research users.Improved API performance by 35% and sustained 99.9% uptime by architecting scalable Python ML services using Django, FastAPI, and the Databricks Lakehouse, supporting high-throughput genomic, clinical, and outcomes data processing.Reduced pipeline failures by 30% and increased data reliability by 40% by designing end-to-end healthcare ML pipelines covering ingestion, validation, feature engineering, cohort aggregation, and regulated model promotion us
  • Plaid
    Senior Machine Learning Engineer
    Plaid
    Feb 2015 - Dec 2018 (3 years 11 months)
    Reduced API latency by 30% by developing AI-enabled Python services using Django and FastAPI, deployed on AWS ECS, EC2, and Lambda and integrated with Databricks ML workloads.Built and enhanced core FinTech data-access and risk platforms by developing AI-enabled Python services powering secure bank connectivity, transaction enrichment, and financial analytics for millions of end users.Reduced API latency by 30% by developing high-performance Django and FastAPI services deployed on AWS ECS, EC2, and Lambda, integrated with Databricks ML workloads.Scaled financial analytics and reporting by designing Databricks Lakehouse architectures with Delta Lake on S3, optimizing batch Spark jobs and incremental transaction processing.Improved model repr
  • Knewton
    Software Engineer
    Knewton
    Aug 2012 - Jan 2015 (2 years 6 months)
    Built adaptive learning platform services by developing backend systems in Python (Django) and Node.js that powered Knewton's personalized recommendation engine for content sequencing and mastery-based learning.Supported large-scale learner personalization by implementing data pipelines and APIs that ingested assessment results, interaction events, and content metadata to drive real-time recommendation updates.Enabled real-time student, instructor, and partner workflows by designing RESTful APIs for course delivery, learner progress tracking, analytics, and third-party LMS integrations.Improved platform scalability and reliability by optimizing backend services supporting millions of learner interactions across web-based educational product
Education verified_user 0% verified
  • Texas State University
    Bachelor of Computer Science
    Texas State University
    Jan 2008 - Jan 2012 (4 years 1 month)