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

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 participants):• Project was a streamlined email analysis application that refactored existing workflow reducing average analyst time to process a message by 90%• Project featured a heavy amount of integration with other services, providing a singular point-of-access for analystsResponsible for a new service based on Pet Project win:• Took service to production in 3 months, as well as meeting a development leap to integrate and provide a solution for a new product offering that was being released at the time that was able to leverage our pet project platform.• Act as a service owner for the service, and lead development.• Actively integrate with new teams and services to further enhance service including machine-learning research and implementation.Responsible for development to internal RSPAMD plugins enabling cross-service communication between internal systems:• Rebuilt legacy plugins from the ground-up.Technologies:PythonJavascriptReactJSDjangoDocker/PodmanElasticSearchRedisZendeskKubernetesRSPAMDClickhouseJenkinsBlackduckSonarqubeGitlabFocus:In-house analysis tools to determine and extract IOCs from URLs, emails, and attachments. In addition, tools to display these IOCs with actionable items for analyst decisions, automated zendesk connections for ticket management (custom fields, ticket status, etc), and query-able APIs/DBs.

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.

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)