Ben Humphrey Email & Phone Number

Boston, MA, US

Independent machine learning model inference service provider, software engineer, and AI researcher, focusing in image generation, and large language models.

London, England, GB

• Responsible for active development and maintenance of various Security Operation services (in-house analysis tools):
• Facilitate the planning and creation of additional services to the security operation stack.
• Refactor, optimize, and maintain existing architecture.
• Created a hyper-performant authorization/permission module for internal applications.
• Analysis tools for ATP, threat actor identification, IOC extraction, email/url scanning, analyst dashboards and management pages, automated zendesk api connections, etc.Winner of Mimecast 2019 Pet Project (40.
• Project was a streamlined email analysis application that refactored existing workflow reducing average analyst time to process a message by 90%

Detroit, Michigan, US

• Responsible for maintenance of existing codebase, code owner for search (Algolia, ElasticSearch), microservice creation, and API development.
• Created numerous services from inception to completion focusing on highly scalable performance. (Go, Node.JS)
• Helped build, enhance, and maintain existing services and core app. (Go, NodeJS, Ruby, PHP)
• Exceled in researching and rapidly implementing new third-party systems and technology to further scalability and effectiveness of existing applications.

Dallas, Texas, US

• Responsible for mitigating customer risk via development and providing analysis for malicious email-based threats, focusing on phishing and malware.
• Mentored and oversaw analyst team, providing one-to-one training and assistance.
• Developed ML Distributed Random Forest URL Classification Engine to predict malicious URLs (Java, H20.ai)
• Developed internal analyst reporting dashboard to provide management with live chart generation, automatic report exporting, and statistic analysis. (Ruby/Rails, ReactJS, NodeJS)
• Developed over 200 content (email/attachment body) filters aimed to proactively prevent spam, ranking the highest in effectiveness at the company. (Perl)
• Developed internal false-positive reporting tool to rework the current analyst workflow, allowing better coverage of false-positives, resulting in a net-decrease. (Ruby/Rails)

Computer Science

Computer Science