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Michael Hafen
About
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Reno, Nevada, United States
Résumé
Jobs
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Senior AI/ML EngineerAlphaSenseSep 2024 - Jan 2026 (1 year 5 months)• Championed end-to-end delivery of developer-facing Gradient Platform features using
TypeScript, React, and GraphQL, shipping 6 core UI components and reducing developer
integration time by 42%.
• Spearheaded maintenance and performance improvements for Go microservices and GraphQL
API, increasing throughput by 35% and lowering p95 latency by 28% across production traffic.
• Architected Python model-serving endpoints with FastAPI and gRPC, enabling 24/7 inference
at 200+ requests per second and supporting rollbackable model deployments.
• Authored a TypeScript design system and Storybook-driven component library, increasing UI
reuse across 12 projects and cutting visual defects by 47%.
• Coordin- Deep Learning EngineerTempus AIAug 2023 - Jun 2024 (11 months)• Designed and optimized distributed training pipelines in Python using PyTorch DDP, cutting
full-epoch training time by 67% on 64-GPU clusters.
• Built React and TypeScript tooling to visualize model explanations and dataset distributions,
adopted by 18 clinicians weekly and improving diagnostic review speed by 31%.
• Optimized ETL into Snowflake and PostgreSQL for imaging metadata, reducing ingestion
latency by 73% while supporting 2 TB of daily data.
• Deployed models with Docker, Kubernetes, and MLflow, supporting continuous deployment of
14 model versions with automated rollback and canary strategies.
• Collaborated with UX and product teams to design research dashboards and standardized
com - Data ScientistVeritoneMay 2019 - Mar 2023 (3 years 11 months)• Led architecture and delivery of scalable model-serving platforms in Python, supporting 150+
models and handling 10,000+ daily inference requests with autoscaling.
• Engineered REST and GraphQL APIs in Go and Python to expose ML capabilities, increasing
enterprise feature adoption by 62% across customers.
• Developed ETL pipelines with Airflow and Kafka to process 50 million media events per month,
decreasing batch processing latency by 55%.
• Built data warehouses and analytics pipelines in Redshift and Snowflake to support
experimentation and reporting, reducing analytical query time by 70%.
• Orchestrated containerization and runtime strategy using Docker and Kubernetes, improving
node utili - FML EngineerFlexivJun 2017 - Feb 2019 (1 year 9 months)• Designed real-time control models and deployed Python inference services on embedded
Linux, improving robotic task accuracy by 21%.
• Implemented CI/CD for model releases using Jenkins and Docker, cutting release timelines
from weeks to 48 hours for edge deployments.
• Integrated telemetry and metrics pipelines using InfluxDB and Grafana to monitor model drift
across 30 robots, reducing downtime by 39%.
• Developed data capture and labeling pipelines with MySQL and Amazon S3, building a
600k-sample dataset to accelerate supervised training iterations.
• Refactored legacy codebase to Python 3, added type hints and static analysis with mypy,
raising static coverage to 87% and lowering runtime err - Junior ML EngineerHubSpotNov 2016 - Mar 2017 (5 months)• Assisted in developing recommendation models in Python, increasing click-through rates by
12% during pilot deployments.
• Supported REST API integrations for model scoring into internal tools using Flask, reducing
integration time by 66% for product teams.
• Created preprocessing pipelines with Pandas and PostgreSQL to normalize datasets for A/B
testing across 8 product teams.
• Collaborated closely with engineers to design feature stores and selection strategies, improving
model training throughput by 31%.
• Prototyped visualization widgets in React and plain JavaScript to help product managers
interpret model outputs during demos.
• Benchmark-tested model variants and reported clear metr
Education
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- Bachelor's Degree, Computer ScienceUniversity of Nevada, RenoAug 2012 - May 2016 (3 years 10 months)