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Prior to 2019, the company was focused on digital marketing (see experience below); now, it's primarily focused on investments.• Developed an industry-leading digital marketing auditing process using a custom-written crawling and analysis framework, and completed audits for hundreds of organizations, ranging from Fortune 500 companies with millions of web pages to SMBs with thousands of pages. In many cases, the recommended solutions helped generate 2x-4x more organic search traffic (typically in 1-2 years).• Assisted organizations with the launch of various websites and web applications, and scaled many of them from $0 to $100K-$250K+/month in online revenue (typically in less than 3 years).• Collaborated with in-house marketing teams to devise comprehensive company marketing strategies, and helped manage the day-to-day implementation of marketing plans and calendars.• Helped organizations define key performance indicators (KPIs) for their various marketing channels, and used those metrics to implement scalable, data-driven monitoring and reporting systems for executive decision makers.• Worked with in-house marketing teams and outside agencies to create effective demand generation strategies that scaled lead acquisition funnels and systematically optimized conversion rates with A/B testing.• Provided marketing consulting services and training for hundreds of organizations, and successfully completed hundreds of white label engagements (e.g., audits, consulting, training, etc.) for more than a dozen external marketing agencies.

• Developed a complete marketing strategy, and continue to oversee and execute the day-to-day implementation of the marketing plan. These marketing activities directly contributed to a 20% year-over-year increase in revenue.• Defined key performance indicators (KPIs) for the company's digital marketing channels (e.g., SEO, SEM, social media, PPC, email, display, etc.), and developed a system that uses those metrics to constantly monitor and report on the effectiveness and return on investment (ROI) of the company's marketing campaigns.• Helped create the company's brand identity (e.g., logo, website, social media profiles, email marketing templates, etc.), and continue to ensure all marketing activities deliver brand consistent messaging.• Built a vibrant online community from scratch (0 to 10,000 fans and followers in less than 3 years), and continue to interact with that community to drive real world sales through online engagement.• Manage the company's public relations (PR), monitor online feedback through social media (e.g., Facebook, Instagram, Twitter, etc.) and review websites (e.g., Yelp, TripAdvisor, Google, etc.), and actively respond to customer complaints.

• Taught 2 upper level Computer Science courses: COSC401 Machine Learning and COSC425 Computer Forensics. The Machine Learning course was focused on the theory and implementation of popular statistical learning algorithms. The Computer Forensics course covered the social, legal, and technical aspects of cyber crime as well as forensic techniques used to combat those criminal activities.• Mentored 50 undergraduate students and advised on special projects for COSC401 and COSC425. This mentorship became particularly important after the tragic earthquake that struck Christchurch on February 22, 2011.

• Developed a system for automatically summarizing and visualizing online information sources using Latent Dirichlet Allocation (LDA) models and various other Information Extraction and Natural Language Processing techniques (the exact information sources and techniques are classified TS).• Designed, developed, and deployed the backend and frontend for a system that crawls online information sources and extracts, classifies, and stores sensitive attack surface information (the exact information sources, attack surface information, and techniques are classified TS).

• Implemented a large-scale, distributed social network crawling and storage framework using ZooKeeper for credential management, Gearman for job distribution, HBase for data storage, Quartz for scheduling, and custom-written crawlers for data collection.• Engineered an analytics platform on top of the collected social networking data that provided real-time social customer relationship management (CRM) information (e.g., most/least nurtured relationships, probabilistic topic clusters for existing relationships, new relationship discovery, etc.).• Provided custom analytics consulting for local companies (e.g., lead generation and analysis for real estate brokers) using social CRM data that was collected from the analytics platform.

• Created a scalable infrastructure for continuously crawling, classifying, and storing millions of social networking profiles on more than a dozen unique social networking communities (e.g., Twitter, Facebook, MySpace, etc.) using custom-written crawlers, Hibernate, and PostgreSQL.• Designed, developed, and managed Purewire Trust – an award winning online, portable reputation system for people, places, and things on the Web; the people component used social networking data and proprietary reputation models built along numerous dimensions (e.g., profile demographic data, relationship data, network interaction data, etc.). The service won a DEMOgod award at the 2009 DEMO conference.• Implemented a Twitter reputation service called TweetGrade that analyzed and evaluated more than 20 million Twitter user accounts.

• Examined the effectiveness of machine learning techniques (e.g., Naïve Bayesian, SVM, regression, clustering, boosting, etc.) for identifying and eliminating email, Web, and social spam.• Designed and implemented large-scale distributed systems that stored, analyzed, and classified millions of email, Web, and social identity objects.• Wrote and published more than a dozen academic articles on a range of information security topics, including Denial of Information attacks, phishing, social networking vulnerabilities, and spam.• Managed a total of 15 Undergraduate, Masters, and Ph.D. students in various research projects related to applied machine learning, data mining, and anti-spam technologies.

• Collected, logged, and analyzed billions of Gmail user behavioral transactions associated with Content Onebox (COB) entities.• Used the COB entity activity data to build a Logistic Regression model that was integrated into Gmail, improving Click Through Rates (CTRs) for COB entities by an order of magnitude.