Hi! My name is Gharib Gharibi, Founder and CEO of Archia.io -- the fastest most secure runtime for building and deploying AI Agents, seamlessly and safely. Before Archia, I worked as an EVP, Director of Applied Research at TripleBlind, where I developed Blind Learning and over 30 algorithms and tools for privacy-preserving ML.
Certified Deep Learning Instructor at Nvidia Deep Learning Institute
[ Google Scholar | LinkedIn | Twitter ]
December: Served as a PC member for the 5th AAAI workshop on Privacy-preserving AI
November: Guest speaker at the UMKC Hack-A-Roo competition.
November: Enjoyed a 45-minute discussion with Tobias Macey on the ML Podcast about building privacy-preserving AI systems.
October: Joined a panel discussion on the challenges and opportunities of Generative AI at UMKC, Rise and Shine event.
September: Guest at the AI Leadership Insights show with Mike Vizard: Training trustworthy AI
August: Talked about Trustworthy AI and LLMs at the eSpeaks podcast with James Maguire.
June: A new patent on trustworthy multimodel AI is allowed.
May: our demo paper was accepted at AMIA Clinical Informatics Conference. Blind Learning: Facilitating Data Access for Informatics Innovators while Protecting Providers Information
April: Served as a reviewer for AMIA 2023 Annual Symposium.
April: A Guest speaker at Blue Valley High School, talked about "Real World Applications of Math".
March: A new patent allowed for privacy-preserving descriptive statistics on decentralized data.
March: Guest at the People of Product podcast. Talked about privacy, LLMs, and AI.
Feb: Guest speaker at KAUST Innovation Center. Topic: Adopting AI In Small and Medium Enterprises.
Jan: Served as a reviewer for the 2023 AMIA Clinical Informatics Conference.
Jan: Updated my website bio :)
December: Another patent was issued for privacy-preserving Blind Learning with secure enclaves.
August: Our work on facilitating and accelerating secure multi-party computation for medical applications has been accepted to AMIA 2022.
July: Presented an online workshop on "Adopting AI in Small and Mid-size Enterprise" at KAUST.
July: Three of my students (2 Master's and 1 PhD degrees) defended their thesis successfully at UMKC
June: Served as an IBA member representing TripleBlind at the NSF-Center for Big Learning
May: Submitted a patent on privacy-preserving methods with secure enclaves.
April: Our tool demo paper "An Automated Framework for Distributed Deep Learning--A Tool Demo" is accepted at the ICDCS 2022.
March: Serving as an external reviewer for AMIA 2022 Annual Symposium
Jan: Excited to serve as a PC member at the Data/Tool Showcase Track, MSR'22.
Jan: Serving as a reviewer for the ICML 2022 conference.
Vanguard Young Alumni Award, UMKC
2nd Place in the DeepFake challenge, RJI, UM System
Research-A-Thon Travel Award, UDICA, UMKC
Balaji Travel Award, SCE, UMKC
First place, Research-A-Thon, UMKC
First Place, Regnier Venture Creation Challenge (RVCC), Regnier Institue for Entrepreneurship and Innovation
Startup Audience Award, Regnier Venture Creation Challenge (RVCC), Regnier Institue for Entrepreneurship and Innovation
SCE Student Organization of the Year, UDICA, UMKC
First place, Entrepreneurship Quest Competition, University of Missouri System