As both a practitioner and educator, Ted Hruzd has worked to optimize low latency and ultra low latency trading applications for competitive advantage with some of the most prominent trading and cryptocurrency firms in the world including HSBC, Citigroup, Alpha Point, NK Securities, JP Morgan, Bahu-Tech, Deutsche Bank, Edg.io and many others. From 2015 onwards, Ted has focused on AI use cases - from the early applications of recurrent neural networks for predicting prices and fill rates to anomaly engine detection to back test market downturns. Currently focused on emerging Generative AI and it’s balanced application with more traditional AI, Ted is the founder and CEO of AI Fit LLC, continuing his work directly with financial services and trading firms and also is sharing his expertise as an NYU Fintech Certificate instructor.  

I have extensive experience optimizing electronic trading applications for competitive advantage.

 

Sum of prior / related skills, from present to 1983:

• Founder and CEO of AI Fit LLC April-2020 – present
  Clients included HSBC, prop trading firms NK Securities, Bahu-Tech, full stack crypto exchange provider & management Alpha Point, Cisco, Edg.io (formerly LimeLight Networks)

• Citigroup Institutional Clients Group - VP – Low Latency Architect
  JP Morgan – VP – Architect, Electronic Trading Infrastructure 

• Deutsche Bank – VP – Ultra Low Latency Market Data Engineer, then 3rd Level Production Support

• Arca Exchange – Senior Capacity Planner and Performance Architect

• Instinet – Internet Systems Manager

• Optimark – Manager of SA’s for Dark Pool QA environment

• SIAC – NYSE subsidiary – Programmer, SA, then manager of 9 SA’s for 6 years

Also in academic space:

• NYU – Instructor - FinTech Certificate (2017 – present)

• Ultra Low Latency Architectures for Electronic Trading (taught 10 - 8 week courses) 

• Algo Trading (taught 3 – 8 week courses)

• Rutgers University – School of Innovation (2017-2019)

• Taught 9 ML/AI classes each 4 hours live on prem in class with hands on programming

 As a visionary business and technology strategy executive, Alessandro Petroni has spent his career helping organizations navigate the complexities of emerging technologies giving him a unique blend of  expertise in software engineering, consulting, technical platform feasibility, sales, and go-to-market strategy knowledge.

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Alessandro has held executive leadership positions at top financial institutions, including Deutsche Bank and Merrill Lynch Bank of America, where he successfully implemented and scaled capital market platforms, rationalized middleware services, and built modular core banking modernization accelerators. He also directed global FinServ strategy at Red Hat and served as a board director at Linux Foundation Fintech Open Source community.

 

Alessandro is a recognized thought leader in the industry, having published numerous articles on technology for financial services and co-author the Wiley e-book “Open APIs for Financial Services.” 

 

He is a frequent speaker at both financial and technical industry events and conferences, sharing his expertise and insights on how to capitalize on the latest trends and innovations in technology.

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Currently is the CEO of BusinessMesh Inc, a business and technology consultancy firm focused on technology strategy development and AI solutions. 

 

He holds certifications in AI/ML from MIT and Business Strategy Specialization from Harvard Business School, and earned his MS in Computer Sciences from the University of Trento in Italy.

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Professional experience: 

• CEO BusinessMesh - executive AI advisor, AI GRC,  AI Algo Trading, Core banking modernization 

• Red Hat - Director, Global Head Technology & Strategy Financial services  

• Deutsche Bank - Global Director Platform Services 

• Merrill Lynch Bank of America - Senior Middleware Leader - Trading platforms, integration 

• TIBCO Software - Principal Solution Architect Financial Services

• University of Trento - Visiting professor and senior mentor