Jordan Natan Hochenbaum
About
Jordan Natan works in the following industries: "Telecommunications", "Internet", "Higher Education", "E-learning", "Information Technology & Services", and "Professional Training & Coaching". Jordan Natan is currently Engineering Manager, ML/AI at BetterUp. In Jordan Natan's previous role as a Professor at California Institute of the Arts, Jordan Natan worked in Greater Los Angeles Area until Jan 2021. Prior to joining California Institute of the Arts, Jordan Natan was a Chief Technology Officer at Nirveda Cognition, Inc. and held the position of Chief Technology Officer. Prior to that, Jordan Natan was a Strategic Advisor, Co-founder at Kadenze Inc. from Jan 2018 to Jan 2020. Jordan Natan started working as Chief Technology Officer / Executive Vice President / Co-founder at Kadenze Inc. in Valencia, California. in Mar 2018. From Sep 2013 to Mar 2018, Jordan Natan was Chief Creative Officer / Vice President Engineering / Co-founder at Kadenze Inc., based in Valencia, California.. Prior to that, Jordan Natan was a Data Scientist / Researcher (Capacity Engineering) at Twitter, based in San Francisco Bay Area from Jun 2013 to Dec 2013. Jordan Natan started working as Mobile Experience at Nokia in Nokia Research Center, Hollywood in Dec 2009.
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Jordan Natan Hochenbaum's current jobs
Conversational Analytics, Assessments, and all things Machine Learning/AI.
Jordan Natan Hochenbaum's past jobs
I teach software engineering (Python, C++, JavaScript), machine learning, DSP, generative graphics and art, and music production, mixing, and composition.
Developed enterprise Document Intelligence Platform powering multiple products serving customers in finance, legal, real estate, and more. Brought 3 products to market on top of the platform in under 1 year. Responsibilities: Plan/execute all aspects of the company’s technical vision and strategy; Lead engineering and product development across Web Engineering (application development, Infra/DevOps), and Data Science/machine learning teams; Establish engineering policies, objectives, streamline internal operations, and procedures; Establish and put into practice strict data protection and privacy policies and procedures; Serve on executive team with other officers to drive a cohesive business development effort; Lead the development and adoption of new technologies that yield competitive advantage and increase operational efficiencies; Principal inventor in patent applications and IP generation for the company.
Ideation and execution of strategic initiatives resulting in two SaaS products with high penetration rate; (1) Award-winning AI-powered B2B Learning Management System adopted by world class customers across multiple verticals from K-12, higher education, to corporate training; (2) B2C online learning platform bringing together 40 of the world’s premier institutions from the US, Europe, and Asia. Customers and partners include top-tier institutions and brands such as Stanford, Princeton, University College London, Adobe, Autodesk, Unity 3D, to name a few. Lead engineering and worked with R&D to develop more than 100 machine learning/AI based automatic grading and feedback tools for media-rich assignments (image, video, audio, documents). Worked closely with key executive team to ensure strategic alignment across departments, define and execute patent strategy, adapt business model and product to market, and open up new opportunities and verticals. Built, managed, and scaled multiple teams starting with 4 originating co-founders to 50+ employees. Point person/leader in all areas of product from R&D strategy through to design, and engineering. Played key leadership role in adapting sales and marketing strategy.
Developed machine learning and statistical models for real-time anomaly detection in the cloud. Algorithms deployed in production by various stakeholders throughout the organization to monitor tens of thousands of metrics spanning low-level system metrics (CPU, memory, utilization, etc), to user behavior from millions of active users per month. Applications ranging from automatic scaling of infrastructure based on the learned utilization of a specific service (thus reducing significant overhead and saving thousands), automatically detecting SPAM accounts and abuse, patterns in user behavior, & more. Algorithm open-sourced to attract top talent, and has now been used and or referenced as a benchmark by industry leaders like BNP Paribas, Databricks, Deloitte, Google, Netflix, and Yahoo, to name a few.
Real-time augmented reality (AR) for interactive location-based media experiences. Developed large-scale multitouch interface to interact with companion AR mobile app experience utilizing computer vision, real-time machine learning based pattern recognition for immersive narrative AR experiences.