Strategic Growth Leader, Startup & Venture Expert
Resume:
Tango Down Tactical (Smart Wearable) Ann Arbor, MI
Business Operations Manager 1st Hire Apr 2015 - Mar 2018
● Developed business strategy and oversaw development of smart wearable powered designed for interactive gaming experiences Brian Derickson
EDUCATION
University of Michigan
General Studies, B.A. - College of Literature, Science, and Arts (LSA) Emphasis in business management, entrepreneurship, psychology, and organizational studies Ann Arbor, MI
Sep 2011 – Dec 2015
GOAL
Leverage unique skill set developed as an operator building/scaling early stage startups, investment analyst/associate, and as a business development executive at IBM to execute strategic initiatives that drive exponential growth EXPERIENCE
IBM Ventures (Corporate Venture Capital)
Investment Associate
New York, NY
Mar 2025 – Nov 2025
● Sourced, filtered, and evaluated over 500+ full stack enterprise AI and quantum startups (Seed - Series C) seeking potential investment out of IBM’s $600M corporate venture capital fund; performed in-depth competitive, market, and financial analysis used to write pre/post investment memos for investment committee review
● Organized leadership meetings with subject matter experts (SMEs) from IBM’s security, infrastructure, AI, governance, consulting, and quantum team to deeply understand each group's roadmap and identify key investment themes
● Managed investment pipeline from sourcing through execution; responsible for coordinating with deal leads and providing monthly reports used to communicate status of current pipeline and next steps with the Sr. VP of M&A at IBM IBM Research Research Investment Office (Intellectual Property) Business Development Executive
New York, NY
Apr 2024 – Mar 2025
● Partnered with distinguished engineers in IBM Research to commercialize quantum, AI, and semiconductor technologies which drove
$850M in annual revenue in 2024 (5% increase YoY)
● Provided quarterly analysis on public quantum computing companies to IBM Quantum executives which delivered insights and recommendations that helped shape global GTM strategy to expand market presence in EU, Middle East, and Asia
● Developed financial model and provided strategy recommendations to IBM’s Infrastructure team to guide discussions on whether to build, buy, or partner on AI inferencing chips; analysis was used to build business case for integrating organically developed AI chip into IBM Z mainframes to study cost and energy savings
● Elected co-chairman of a business resource group organized by the VP of Intellectual Property where I designed and launched new initiatives used by nearly ~100 IBMers to roll out GenAI tools, prevent burnout, and build camaraderie amongst the IP group
● Spearheaded cross-functional initiatives to modernize deal structure strategy and understand the current landscape of corporate investment research labs
LDV Capital (Venture Capital) New York, NY
Investment Analyst Sep 2021 - Mar 2024
● Sourced, filtered, evaluated 600 potential investment opportunities creating a pipeline of deep tech founders building businesses powered by visual tech (using AI to analyze images, videos, and light) across all industries
● Provided quarterly update reports used in GP letters to communicate fund metrics, and provide updates on portfolio companies
● Organized signature, invite only events for founders, investors, and tech experts to drive platform initiatives which contributed to 90% of investments executed each year
Matterhorn by Court Innovations (LegalTech/SaaS) Ann Arbor, MI Head of Implementations 8th Hire Mar 2018 - Sep 2021
● Led transformative initiatives supported by the executive team to revamp customer onboarding process, map customer workflows, prioritize new feature development, retrofit &migrate legacy implementations, and QA testing to boost operational efficiency
● Deployed over 200+ web applications that enabled 400,000+ legal disputes to be resolved entirely online in 23 states while supervising a team of four specialists
● Developed product requirements to automate internal tasks which reduced deployment times by two weeks and helped scale customer base from 30 to 150 customers
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