Try for free
Engineering AI-Powered Data Products
Event PAST

Engineering AI-Powered Data Products

03 August Online

Join this event

🎟️ Register / View Event Details

About this event

Blending Software, Data, and AI with Radovan Bacovic

​As artificial intelligence reshapes the modern data stack, the strict boundaries between Data Engineers, Analytics Engineers, and Data Scientists are rapidly blurring. To build truly impactful AI-driven data products, today’s professionals must blend traditional software engineering best practices with cutting-edge data and AI ecosystems.

​Radovan Bacovic will share his insights from over 20 years in the data world regarding how to navigate this fast-paced landscape. We will break down how to implement AI responsibly using industry-standard engineering practices, the power of open-source tooling, and why connecting backend data to frontend visual applications using Streamlit is becoming a critical skill.
​
​He’ll cover:

  • ​Two Decades in Data: Industry Evolution and Lessons from the BJJ Mat
  • ​The Blurring Boundaries of Traditional Data Roles
  • ​Implementing AI in the Modern Data Stack Using Engineering Best Practices
  • ​Building with Open Source and Streamlit

​
​About the Speaker:
​Radovan Bacovic is a Staff Data Engineer who lives, enjoys, and codes in Novi Sad, Serbia.

​Part of the Data giants ambassador program: Snowflake Squad member and dbt spotlight member.

​An experienced data engineer and “wannabe” the best bad conference speaker. He is always eager to discover new data technologies in a rapidly changing environment. He has a profound background in application development at large international companies worldwide. He strongly advocates for the open-source community and the open-core approach.

​Undoubtedly, he is a fervent data geek who is delighted to share his extensive experience with a broader audience.

​He was trapped in the Data world for 20 years.

​Passionate Brazilian Jiu-Jitsu practitioner.

Join our Slack: https://datatalks.club/slack.html

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support