Daniel Pusateri
@danielpusateri
Senior Machine Learning Engineer building scalable AI platforms for risk analytics and production decisioning.
United StatesWhat I'm looking for
I’m a Senior AI/Data and Machine Learning Engineer with 10+ years of experience building scalable machine learning platforms, data products, and cloud-native distributed systems. I focus on applying machine learning, statistical analysis, and behavioral analytics to detect anomalies, automate decisioning, and support data-driven risk management across production environments.
I partner closely with Engineering, Product, Data Science, and Operations teams to build end-to-end data pipelines and production ML infrastructure. I’ve delivered fraud detection models, transaction analytics, user behavior analysis, and measurable improvements in reliability, monitoring, and decision quality.
Most recently at Sambanova Systems, I designed and deployed machine learning models for large-scale behavioral and transactional datasets, improving anomaly detection accuracy by 39% in production. I built automated decisioning systems that reduced false positives by 33%, developed real-time analytics pipelines with Python, Spark, Kafka, Airflow, and SQL, and optimized distributed inference on Kubernetes and AWS to decrease prediction latency by 42%. I also created model evaluation and regression testing frameworks that reduced production regressions by 46% and mentored engineers to improve deployment velocity by 35%.
Experience
Work history, roles, and key accomplishments
Designed and deployed machine learning models for large-scale behavioral and transactional anomaly detection, improving accuracy by 39% in production. Built automated decisioning systems and end-to-end pipelines (Python, Spark, Kafka, Airflow, SQL) to support real-time risk monitoring and reduced false positives by 33%.
Architected scalable backend services supporting production machine learning applications and intelligent decisioning for millions of requests. Built Python and Go microservices, REST APIs, and CI/CD pipelines to improve observability, reduce issue detection time by 41%, and increase deployment frequency by 38%.
Senior Data Engineer
Velvetech LLC
Feb 2018 - Dec 2021 (3 years 10 months)
Designed enterprise data platforms processing 8+ TB of financial, transactional, and behavioral data daily using Spark, Kafka, SQL, and Airflow. Built scalable ETL pipelines, automated data quality controls, and cloud-native infrastructure on AWS (Docker, Kubernetes, Terraform), improving pipeline accuracy by 47% and reducing monitoring-reported failures by 44%.
Developed full-stack enterprise applications supporting financial and operational business workflows using Java, Python, SQL, JavaScript, HTML, CSS, and REST APIs. Built backend services for telemetry and transaction events, optimized relational database performance (31% SQL efficiency improvement), and supported Agile delivery with automated testing and peer code reviews.
Developed internal automation utilities using Java, Python, SQL, JavaScript, HTML, and CSS to reduce repetitive engineering tasks by 34%. Supported backend API development, SQL optimization, and production support, and contributed to CI/CD automation and deployment validation to improve release consistency.
Education
Degrees, certifications, and relevant coursework
University of Illinois Urbana-Champaign
Bachelor of Science, Computer Science
2011 - 2015
Earned a B.S. in Computer Science at the University of Illinois Urbana-Champaign from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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