Assist clients with • Software technology strategy • Effective and ethical Artificial Intelligence (AI)/machine learning • Defining product vision • Establishing product development processes • Management of IT operations • Supervision of product development • Oversight of vendor relationships • Provide leadership and mentorship to product and engineering teams

• Oversaw product and engineering across six solutions covering multiple sectors in the financial services industry to advance their efforts through enhancements and new capabilities • Partnered with the solution leaders to ensure our products aligned with market demands • Mentored and guided product managers, designers, software and data engineers • Helped make the Banking practice the most successful in leveraging technology to support global clients

• Led the NY innovation hub of the firm • Grew the NY-based designers, product managers, and engineers by 5X. • Incubated new ideas and sat on internal venture capital committees to determine where we should invest • Helped define the people development model for technologists in the firm • Built assets across many practices, including Telecom, Retail, Chemicals, and Financial Services

Provide technical strategy and lead the teams building DailyClout's revolutionary BillCam

Provide technical strategy guidance to a new startup in the recruiting industry.

• Oversee the strategic direction of technology, research, data analytics and product development Page 2 of 4 • Conceived, designed, and lead the team building Intent Quality, a ground- breaking technology for determining a user’s intent based on a variety of signals across multiple devices over time. • Directed stretching the envelope of Neo4J as we built one of the largest graph databases globally, used for identity management across devices • Interviewed in articles and conferences regarding our Neo4J implementation, due to our large scale • Architected a system to ingest and process hundreds of millions of location signals daily, identifying the place they represent as part of our Intent Quality Engine using MongoDB • In 2012, migrated from co-located servers to AWS to reduce costs, utilizing several key AWS technologies such as SQS, S3, and DynamoDB • In 2016, to take advantage of systems like Big Query and to enable further cost advantages, migrated from AWS to Google Cloud, converting from SQS to PubSub and from S3 to GCS • Developed an internal library to simplify the use of either Google Cloud or AWS frameworks for applications with the same internal API in Ruby •Implemented NodeJS for our high-concurrency front-end cookie systems and our earlier ingestion of the Twitter firehose • Utilized Hadoop & Spark for some of our back-end processing • Leveraged MongoDB in a sharded cluster for our user profile DB • Direct the roadmap for our future efforts • Frequently involved in business development & client engagement • Manage, recruit, and mentor team members • Authored multiple articles on the industry

Responsible for overall technology team, strategic direction and best practices. Focused the team on concrete goals to advance the product, resulting in substantial scale increases.

• Responsible for overall strategy and execution of our search retargeting platform • Evaluated and selected key enabling technologies and developed systems to achieve high performance on low cost hardware running in a co-located data center • Built one of the first large scale sharded MongoDB clusters •Revamped backend system and collaborated on the technology on which a patent I co-invented is based utilizing Hadoop, MongoDB, NodeJS & Ruby running on Ubuntu • Managed, recruited, and mentored team building high-concurrency search retargeting system

• Responsible for product direction and execution of a best-of-breed web tool for managing data campaigns based on search retargeting using Ruby on Rails running on Ubuntu • Designed the concept and implementation of seedwords, which became the patented semantic engine for related terms