Product strategist and technologist working across AI, data, financial infrastructure, and human behavior.
With more than 10 years in digital media, Web3, and marketing, plus formal training in data science and machine learning, I combine analytical thinking, curiosity, product strategy, and creativity to make complex ideas accessible to everyday people.
Selected Work
Products, platforms, and developer tooling across Ethereum and Polkadot.
03 Projects-

A decentralized content management system (CMS) at the intersection of media, blockchain, and creator economics, built from 0→1 as founder.
-

Led global marketing for Moonbeam, an Ethereum-compatible smart contract platform, including the “Moonrise Points” airdrop campaign.
-

Digital assets and developer tooling — ApeWorX builds Ape, an open-source Python framework for smart contract development.
Connecting builders, institutions, and policymakers shaping the future of crypto and fintech.
02 Projects-

Delegate to the Women of Color in Blockchain Congressional Briefing, sharing industry perspectives with Senate staff ahead of crypto market structure legislation.
-

Built the Center’s Bitcoin ecosystem partnerships, secured a six-figure sponsorship from Block, and organized Block’s first closed-door meeting with Rep. Warren Davidson.
Where my work is heading: data science, machine learning, and the human side of AI.
03 Projects-

An AI reading companion that makes a single Web3 article accessible to four audiences: fashion enthusiasts, entrepreneurs, developers, and investors. Built into Violet Verse with v0; winner of a Vercel hackathon in Miami (2026).
-

Writer and reviewer on RLHF and evaluation projects for leading frontier AI labs, contributing expertise in marketing, sales, business, and new media.
-

Applied Python, SQL, statistics, machine learning, and analytical methods to real-world datasets. Now building Project Athena.
About Melissa
I bring products to life and build their fan bases, working with developers and consumers across tech, fashion, beauty, and entertainment, and I measure what drives their behavior with data and revenue-focused metrics.
I have a B.A. in Political Communications from The George Washington University and have spent years helping build the foundations of mainstream and independent digital media. As a writer and editor, I managed content teams at AOL.com, The Huffington Post, and Gawker Media. On the brand marketing side, I led deal flow for advertising campaigns, expanded reach through content creation, and advised founders on go-to-market strategy.
As a product strategist, writer, and technologist, my mission is to capture the spirit and personality of culture through emerging technology. I believe this work can change how people build, work, and make decisions for the better.
Over the last several years, that curiosity has led me to venture-backed startups in AI, fintech, and blockchain. I’ve built two blockchain products and worked alongside dozens of developers and technical communities, including women-led DAOs and NFT projects such as Rug Radio, World of Women, and The Clinic NFT. That work has spanned everything from decentralized infrastructure and open payments to AI and human-generated training data.
I’m currently completing a 10-month Data Science & Machine Learning certification, where I’m developing a stronger foundation in Python, SQL, statistics, machine learning, and data analysis. The program sparked my current research using regression models to study model behavior.
- FocusProduct · Data · AI
- BackgroundMedia · Marketing · Web3
- EducationB.A., The George Washington University
- TrainingData Science & ML
- Experience10+ years
- Interested inPM · AI · Data infra · Fintech
- Emailmelissa@melwrites.com
- Media
- Marketing
- Web3
- Products
- Payments
- AI
- Human data
- ML
- Analytics
Areas of Focus
Product Strategy
Product discovery · Roadmaps · GTM · User research · Product storytelling
Data & Analytics
Python · SQL · Statistics · Regression · Data visualization · Machine learning
AI & Emerging Technology
AI systems · Human feedback · Training data · Model evaluation · AI safety
Financial Infrastructure
Open payments · Digital assets · Blockchain · Fintech · Programmable money
Technical Communication
Research translation · Technical writing · Executive thought leadership · Developer audiences
Building & Experimentation
0→1 products · Prototyping · Technical communities · Growth experiments
What I’m Thinking About
-
Are startups becoming the new banks?
What happens when financial infrastructure becomes software?
-
Who gets paid when human expertise becomes training data?
The economics and ethics of turning human knowledge into AI infrastructure.
-
Can creators become better AI contributors?
What happens when domain expertise — not just technical expertise — becomes part of the AI development pipeline?
-
What can regression actually tell us about human behavior?
My data science training left me fascinated by what regression models can reveal.
Résumé
A full copy of my résumé is available as a PDF. A quick verification keeps it out of reach of automated scrapers — it takes a second and doesn’t ask you to solve puzzles.
Prefer email? Request a copy