President of Replit
Ideas brought to life. A look at the products, companies, and creative works built from the ground up.
AI agent platform from Replit designed to automate end-to-end app creation and repair; Michele is listed as architect/Principal Investigator and public spokesperson for the product launch and subsequent v2 updates.
Low-latency AI code repair system announced at Replit Developer Day; Michele served as Principal Investigator on the project.
Replit's code model released to the community (announced/released at Replit Developer Day); Michele is credited on Replit/public materials for the model.
Contributed to code-generation capabilities related to Google's PaLM family (work while at Google Labs / Google X).
A collection of articles, interviews, and viral content where achievements have been shared.
Formal validation from the top. A showcase of official awards, grants, and government acknowledgements.
Aliens of Extraordinary Ability. The highest level of priority for U.S. permanent residency.
Publicly credited as PI on Replit's Code Repair announcement and roadmap work.
Source: Replit / Replit Developer Day
Led product and research efforts behind Replit Agent, cited in press and conference talks as a company milestone.
Source: Replit
Multiple peer-reviewed publications in web data, crowdsourcing, and ML on graphs; contributions to community datasets and code research (Open Graph Benchmark, papers with Jure Leskovec and others).
Source: Academic community (Semantic Scholar / Google Scholar listings)
Key roles that defined the journey.
Leads Replit's AI strategy and productization (agents, code models, developer tools). Publicly credited for Replit Agent, Code Repair, and model releases; frequent spokesperson in interviews and conferences.
AI applied to Source Code, Large Language Models
AI applied to Source Code, Large Language Models
Co-founder of sindice.com, later evolved into siren.io
Academic foundation and learning journey.
Postdoctoral Research Fellow, Artificial Intelligence
Doctor of Philosophy (PhD), Computer Science
Thesis title: "MEM0R1ES: Memory-based Information Systems"
Master of Science (MSc), Applied Computing and Information Technology
Grade: with Research HonoursGrade: with Research Honours Thesis title: "Scalability solutions for the Web of Data" Full tuition scholarship
Connect and explore.