Gabriel Preda

About

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐢𝐬 𝐭𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐭, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞. As a 𝟐× 𝐊𝐚𝐠𝐠𝐥𝐞 𝐆𝐫𝐚𝐧𝐝𝐦𝐚𝐬𝐭𝐞𝐫 (𝐍𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 & 𝐃𝐚𝐭𝐚𝐬𝐞𝐭𝐬) and 𝐆𝐨𝐨𝐠𝐥𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐭 (𝐀𝐈/𝐌𝐋, Cloud AI), I bridge the gap between experimental R&D and enterprise-grade systems. Currently, I am a Principal Data Scientist at 𝐄𝐧𝐝𝐚𝐯𝐚. 𝐖𝐡𝐚𝐭 𝐈'𝐦 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐫𝐢𝐠𝐡𝐭 𝐧𝐨𝐰: - 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: Orchestrating autonomous systems with 𝐀𝐃𝐊/𝐀𝟐𝐀. - 𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐈 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: Implementing 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐆𝐞𝐦𝐦𝐚, and 𝐌𝐞𝐝𝐆𝐞𝐦𝐦𝐚 on 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝. - 𝐀𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐥𝐞 𝐀𝐈: Deploying local/on-device models to reduce costs and latency. - 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Scaling MLOps from "it works on Kaggle" to "it works in Production." 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 "𝐇𝐨𝐰-𝐓𝐨": Through my book, “Developing Kaggle Notebooks,” and my 𝐌𝐞𝐝𝐢𝐮𝐦 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬, I share deep-dives into the "Modern AI Stack." I don't just share what works—I share the real-world failures and how to fix them. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐚𝐧𝐝 𝐎𝐧-𝐃𝐞𝐯𝐢𝐜𝐞 𝐀𝐈.

Experience

• Endava (12 yrs 11 mos)
  • Principal Data Scientist
    Jul 2021 - Present · 5 yrs 1 mo

  • Lead Data Scientist
    Sep 2017 - Jun 2021 · 3 yrs 10 mos

  • Senior Project Manager
    Jul 2017 - Dec 2018 · 1 yr 6 mos

• Lecturer at University POLITEHNICA of Bucharest
  May 2005 - Jan 2015 · 9 yrs 9 mos

• Telmap (later acquired by Intel) (Bucharest, Bucharest, Romania)
  • Group Manager
    Sep 2012 - Sep 2013 · 1 yr 1 mo

  • Team Lead
    Feb 2010 - Sep 2012 · 2 yrs 8 mos

• Co-founder and Business Development Manager at Kisano Medical Systems
  Oct 2010 - Mar 2012 · 1 yr 6 mos

  Pay-per-use, open-source based PACS-extension for hospitals, telemedicine, teleradiology

• Co-founder and General Manager at Advantec Solutions
  Sep 2005 - Mar 2011 · 5 yrs 7 mos

  Research & R&D for software solution for multiphysics & medical imaging