Alex Brufsky

Lead Software Engineer

2022 - Current

Software Development Engineer I Intern

2021 - 2021

- Aided the Amazon Fraud Detector “AFD” team of Amazon Web Services in developing new business logic for Amazon customers to view performance of machine learning (“ML”) based fraud models using Java - Implemented customer facing component (React / NodeJS) of batch ingestion feature, allowing customers to quickly import historical event data--both fraudulent and legitimate--for quicker model training leading to faster model implementation - Expanded a backend system to asynchronously vend large batches of ML fraud prediction results to customers using python. - Managed multiple continuous integration pipelines for releasing new features to production accounts and fixed blocked pipelines by modifying broken integration tests to ensure clear pathways from development to production • Coordinated with project managers, application security, and technical writers to design and release four features in two months

Technical Venture Partner

2017 - 2021

- Responsibilities include: developing due diligence plans, reviews of managers’ documented procedures, attending onsite and offsite meetings, preparing written analyses of managers’ business and operational capabilities - Develops knowledge and keeps abreast of dynamic changes with respect to industry standards and best practices impacting operational due diligence especially in technical fields - Review and monitor audited financial statements and ongoing operational developments at investment manager firms

Executive Secretary

2019 - 2021

- Non-profit organization that guides young entrepreneurs and future innovators by empowering them with the essential experience, mentorship, and resources to grow their startups exponentially. - Communicate objectives between the board, management, and members. - Ensure notice compliance to donors in accordance with bylaws.

Machine Learning Engineering Intern

2020 - 2020

- Optimized and automated tech support processes using machine learning techniques. - Used IBM Watson and the python programming language to create an artificial intelligence powered chatbot for helping clients troubleshoot problems and onboarding new clients more efficiently.

Chief Operating Officer

2017 - 2020

- Managed the executive team using the AGILE development framework. - Pitched the company to investors and attracted over 50k of deal flow and increased company exposure (Won Startupalooza Boston 2019). - Worked with the CTO to design a graph database (neo4j) recommendation algorithm for group matching. - Helped meet specific custom-coded client needs and developed solutions for clients.

Vice President of Finance

2019 - 2020

- Managed 1.7MM worth of assets and 50k of monthly cashflow (income and expenditures). -Raised over 26k for the NAACP through social media marketing and over 100k for the Autism Alliance of Michigan by hosting a campus-wide sports event with over 500 participants. - Wrote monthly reports on use of funds, income, and predicted future roadblocks.

Product Engineering Lead

2018 - 2020

- Designed, developed, and deployed a proprietary platform (React / NodeJS) and managed a developer team. - Wrote and implemented a design specification for a public API, frontend admin experience, and load-capable, machine-learning based backend for a high frequency algorithmic bidding application. - Manage a team of engineers using the AGILE development framework.

Lead Developer

2016 - 2018

- Responsible for the quick development of complement iOS applications to websites for clients of Alex King Creative, a website consulting and creative agency specializing in community engagement. - Used the swift programming language to translate provided design briefs into well-written and extendable code. Many of the clients were podcasters and had similar needs, so code was adapted.

iOS Software Engineer

2014 - 2015

- Designed and Developed a custom iOS application in swift to track bodily measurements, eating habits, and inform a better lifestyle. - Worked with the executive team to designate a minimum viable product to soft launch. - Communicated with the backend developer to ensure a scalable, seamless user experience.