New York, New York, United States
Let’s talk about solutions not problems.
Responsible for the AI/ML technical relationship across enterprise customers in the NE region. Working on solving complex problems in the financial industry, and media & entertainment industry. Authored the AI strategy approach to working with Data Provider Partners Principal AI Architect across strategic deals
Currently dedicating 20% of my time to a project focused on developing a new framework for simplifying technical assets discovery, product feature requests, and unlocking new revenue opportunities across BQML, aiming to make advanced analytics more accessible to all users. This initiative allows me to explore innovative approaches and contribute to the future evolution of BigQuery ML.
Working with Startups to build and scale their products and businesses with AWS
Worked with customers and partners to help them adopt Stripe at scale across their organizations. Responsible of Stripe’s Global System Integrators (GSI) partners technical relationship; Accenture, Deloitte, PwC, and Capgemini. Authored Stripe’s technical strategy across GSI partners. This includes motions to accelerate partner internal enablement, how to co-deliver customer implementations across regions, and new mechanisms to create close collaborations with adjacent Stripe’s technical teams such as Service Teams, Proserve, and Training & Certification. Collaborated with internal and external product teams to align roadmaps between Stripe services and GSI vertical solutions; Deloitte’s Converge Suite and Nimble, Accenture REACH and CIP solutions, PwC Banking Suite Worked closely with GSI leaders across verticalized practices to define co-marketing, GTM, and post-implementation strategy. Increased awareness and utilization of Stripe services across Payments, Insurance, and Banking practices.
Working with customers across various industries and geographies on Machine Learning based recommender systems. My responsibilities include: Advising customers on how to best leverage User-Item Interactions data to create custom models using Amazon Personalize to solve for personalized recommendations (online/batch), items re-ranking, and similar items recommendations. Create curated content to showcase AWS’s platform AI/ML capabilities, architectural best practices, and sample solutions.
Working with customers across various industries and geographies on Machine Learning based recommender systems.
Worked with Global System Integrators (GSI) Partners across various industries and projects. My main focus in this role was to provide architectural guidance to GSI Partners on topics such as Serverless, Machine Learning, AR/VR, Data Engineering, IVR systems, Application Development, and DevOps.
Development of an AWS Lex bot used to aid our Service Desk team. The bot identifies a user and opens a call record or a self-service incident in ServiceNow using Amazon Connect. This has a direct impact in the amount of time a service desk agent spends per call. Developed web applications using Angular, Amazon Cognito, S3, Cloud Front, API Endpoints, and Lambda Functions for the backend. These pages vary from admin portals to static content pages. Constant development of micro services using Lambda Functions for our IOT and Chat Bots solutions Contributed to the development of Alexa skills connected to ServiceNow used to create self-service incidents, get information, and request assistance from the Service Desk team Developed a mobile application using NativeScript (Angular 2 and TypeScript) used for our internal Fitness Solution