* Significantly contributed to the design and implementation of the foundational service of dialogs (conversational AI) within the conversation assistant in order to allow ongoing dialog with users to closely mimic human conversation.

* In addition to previous role's responsibilities, take on further leadership in developing product features, driving vision, and determining component architecture.

* Own high-priority epics, taking them from concept to completion in collaboration with designers, product managers, and fellow developers.

* Full stack web development for IBM Business Analytics products, including common components utilized across products, and development for the IBM Cognos Analytics product. Utilized technologies such as Java, Rasa NLP Core, and NPM.

* Made a conversation component entirely accessible for industry standards by making it conform to the web content accessibility guidelines (WCAG) by implementing keyboard navigation, high contrast and screen readability.

* Collaborated closely with UX in the development of requirements and delivered presentations on new features to the rest of the department.

* Maintained a high focus on quality, by both participating in and submitting code reviews as well as actively seeking feedback from design and development.

Worked in a team of technical and business interns to develop an idea to address a real-world challenge confronting part of IBM's offerings and then turned it into a real product. Also, showcased the solution to IBM's executives, business partners and clients within an extremely tight deadline. The internship culminates in a proof of concept and detailed business case of the solution to the real-world problem.