Founding
Plurall AI & product
Founder, Plurall AI: multimodal deepfake detection for enterprise; PennApps Best Blockchain Project-winning AI and blockchain application. Code on GitHub.
4+ years · industry, research & founding
Sandra Cai
Founding Plurall AI for trustworthy media in an AI-native world—the same standard of proof I apply to markets, infrastructure, and public research.
4+ years as an operator: founding Plurall AI; quant infrastructure at Vigil Markets; blockchain finance research at Microsoft Research Asia; cloud engineering at JD.com; independent equity and macro research; and award-winning AI and blockchain builds.
Technical education: NYU CS; minors in Mathematics and BEMT—coursework in ML, NLP, systems, and security to back the operating track above.
Markets & quant · Research · AI & trust
SandraGPT
Ask what you want to know
Plurall AI, work, research, trading comps, background, or say hi.
Try
Answers are matched from on-site notes—not a live model. Press / to focus. For anything else, email me.
Accelerating work that ships
Plurall AI and a cross-section of experience: quant pipelines, institutional research, cloud scale, and product engineering.
Quant
Markets & crypto infrastructure
Quantitative Researcher at Vigil Markets (Nuveaux Trading): Python crypto volume analysis, counterparty risk, underwriting cost, assembly-level optimizations, and on-blockchain clearinghouse risk mapping.
Institutional
Research & cloud
Blockchain financial research at Microsoft Research Asia; private cloud infrastructure at JD.com, from protocol questions to systems at scale.
Independent research & markets
Written on my own time: equity pitches, open-source quant work, Bayes, and AI macro—alongside founding work on synthetic-media trust. More on LinkedIn and Medium; essays on Substack.
- AVAV investment thesis. Twelve months of work on AeroVironment: fundamentals, positioning, defense-sector tailwinds. Read on Perplexity →
- Inside the Ban (Jane Street × India): open-sourced quantitative autopsy of the two-legged strategy and SEBI enforcement (July 2025); repo and thread on LinkedIn. LinkedIn post →
- Theorem of Wisdom (Bayes): white paper on Bayes' theorem for rational decision-making; open on GitHub, announced on LinkedIn. Also presented related work at NYU URC (1,000+ attendees). LinkedIn post →
- AI & macro (Medium): Oscar should be given to AI · Hawkish vs. dovish…
- Trading: reported #1 result on the Duke Fintech Trading Competition scoreboard (risk-adjusted / Sharpe-style rules; see live board). Live scoreboard → · Winner, Phoenix Trading Competition (crypto, New York Tech Week 2023).
Academic
NYU CS with minors in Mathematics and BEMT. Coursework spans algorithms through ML, NLP, operating systems, and security—supporting depth for the operating track above.
Perspective
Rigor as
infrastructure
Whether it is a clearinghouse model, a synthetic-media check, or a stock pitch, I care about assumptions you can defend—and the engineering to test them.
Three things I believe
Show the work
Claims need data, mechanism, and a path to being wrong, in markets and in code.
Systems and incentives
Microstructure, risk, and infrastructure: the same clarity whether you are reading a tape or a log line.
Ship and iterate
Research informs builds; builds stress-test research. Public writing keeps both honest.