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Hi, I’m Eugene Harris, a Senior Machine Learning Engineer with 12+ years of experience spanning backend engineering, financial SaaS systems, and production-grade AI platforms. I’ve delivered supervised models, real-time inference pipelines, and scalable ML workflows across healthcare and fintech domains. I enjoy translating complex business processes into reliable AI solutions, architecting cloud-native architectures on AWS, and ensuring HIPAA-compliant, auditable deployments. I also explore LLM-powered tools to augment clinical and operational decision-making while maintaining safety and governance.…Hi, I’m Eugene Harris, a Senior Machine Learning Engineer with 12+ years of experience spanning backend engineering, financial SaaS systems, and production-grade AI platforms. I’ve delivered supervised models, real-time inference pipelines, and scalable ML workflows across healthcare and fintech domains. I enjoy translating complex business processes into reliable AI solutions, architecting cloud-native architectures on AWS, and ensuring HIPAA-compliant, auditable deployments. I also explore LLM-powered tools to augment clinical and operational decision-making while maintaining safety and governance.

Eugene Harris

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Eugene Harris, a Senior Machine Learning Engineer with 12+ years of experience spanning backend engineering, financial SaaS systems, and production-grade AI platforms. I’ve delivered supervised models, real-time inference pipelines, and scalable ML workflows across healthcare and fintech domains. I enjoy translating complex business processes into reliable AI solutions, architecting cloud-native architectures on AWS, and ensuring HIPAA-compliant, auditable deployments. I also explore LLM-powered tools to augment clinical and operational decision-making while maintaining safety and governance.…Hi, I’m Eugene Harris, a Senior Machine Learning Engineer with 12+ years of experience spanning backend engineering, financial SaaS systems, and production-grade AI platforms. I’ve delivered supervised models, real-time inference pipelines, and scalable ML workflows across healthcare and fintech domains. I enjoy translating complex business processes into reliable AI solutions, architecting cloud-native architectures on AWS, and ensuring HIPAA-compliant, auditable deployments. I also explore LLM-powered tools to augment clinical and operational decision-making while maintaining safety and governance.

Available to hire

Hi, I’m Eugene Harris, a Senior Machine Learning Engineer with 12+ years of experience spanning backend engineering, financial SaaS systems, and production-grade AI platforms. I’ve delivered supervised models, real-time inference pipelines, and scalable ML workflows across healthcare and fintech domains.

I enjoy translating complex business processes into reliable AI solutions, architecting cloud-native architectures on AWS, and ensuring HIPAA-compliant, auditable deployments. I also explore LLM-powered tools to augment clinical and operational decision-making while maintaining safety and governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior ML Engineer at Headway

October 1, 2022 - Present

Designed and operated a real-time healthcare AI platform in a HIPAA-regulated production environment. Built end-to-end AWS-based AI architecture, real-time inference workflows with XGBoost, LightGBM, and PyTorch, and ensured reproducible training pipelines with full prediction traceability. Implemented a Retrieval-Augmented Generation (RAG) based GPT-4 clinical assistant grounded in approved internal medical documentation, with output validation, retrieval confidence thresholds, and response gating to mitigate hallucinations. Established model governance, SHAP-based explainability, and compliance-aligned monitoring. Deployed secure, containerized inference services on Kubernetes, built automated retraining and deployment workflows, and implemented data drift and feature stability monitoring to prevent silent performance degradation.

Machine Learning Engineer at BlackLine

July 1, 2018 - October 1, 2022

Built supervised ML models to automate transaction matching within BlackLine’s financial reconciliation platform. Engineered structured financial features, extracted and preprocessed data from PostgreSQL, and implemented model normalization, encoding, and robust evaluation. Deployed models via backend REST APIs with batch and near real-time inference, and partnered with backend teams to monitor performance and address data drift.

Senior Python Engineer at BlackLine

April 1, 2015 - July 1, 2018

Implemented a rule-based reconciliation engine to match transactions between GL and sub-ledger datasets. Developed multi-attribute matching logic and wrote optimized SQL JOIN queries for high-volume data. Ensured transactional integrity with ACID updates and integrated ERP data from SAP and Oracle for validation and normalization.

Python Developer at Achieve

August 1, 2011 - April 1, 2015

Developed backend modules for a payment automation platform handling recurring ACH and card transactions. Implemented payment scheduling, retry mechanisms, and optimized SQL queries for updating balances and transaction records. Integrated external payment gateway APIs and maintained batch processing jobs.