Eeshan C.

A Design Thinker, Product Manager and an AI Solutions Architect with 10+ years of building both B2B and B2C data first products and apps, big data solutions and machine learning algorithms. Versatile experience working with big brands, startups and emerging unicorns.

Proficiencies:

• Product Strategy & Roadmap
• Product Market fit & Competitor Research
• Product Design
• Wire-framing, UX and usability research
• Rapid prototype development
• Product refreshes
• Agile project management - Scrum, Kanban & XP; wearing the Product Owner & Scrum Master hats
• Creating Epics, User Stories, acceptance criteria
• Very familiar with deployment strategies, clouds and technical architectures across AWS, Azure & GCP; across monolithic to microservices architectures; and across RDBMS to noSQL and graph databases (from my data sciences background)
• Modern PM tools: Jira, Trello, Asana, Aha! and more.
• Native comfort with SQL, R and other data and analysis languages. (English too!)

Product Portfolio:
Auto AI, NashWorks (Enterprise AutoAI Platform)
As lead engagement architect, I led the design, development and delivery of a generic, fully automated AI platform for enterprises to plug in their data and deploy algorithms around predictive forecasting for demand & sales for a seed-stage startup. This platform is in the customer beta phase.

VIDULEARN, Cerebronics (Classroom Intelligence Platform)
As Product Owner, I led the platform design team towards building the next big classroom intelligence platform- fusing concepts of lecture capture and blended learning with advanced video processing technologies and state-of-the-art AI for content recognition and summarization to provide a holistic augmented classroom experience for students and teachers.

MYNTELLIGENCE, NashWorks (Marketing Intelligence Platform)
As Lead Product Manager, I led the buildout of a new-age cross channel marketing intelligence platform integrating visual campaign management, automated & custom analytics, AI driven optimization recommendations and multi-channel segmentation capabilities from conception to launch and helped the client hit $500k annualized revenues within the beta phase.

VIDEOTELLIGENT, Cerebronics (Video Resyndication Platform)
As Product Architect, I led the design and development of a nordic video resyndication platform aimed at creating a marketplace for content creators, publishers, consumers and advertisers to come together in a three-way syndication platform with multiple AI assisted virality driven commercial models.