The Victory Podcast with Travis Cody
The Victory Podcast with Travis Cody

Naz Quadri on Pragmatic AI, LLM Pitfalls & Scaling Decision-Making in Private Equity

23 February 2026 1:02:03 Travis Cody

Listen to episode

About this episode

In this episode of The Victory Show, Travis Cody sits down with Naz Quadri—CTO and Partner at Princeton Equity Group—to unpack what “pragmatic AI” actually means in the real world (and why most companies are using the wrong tools). Naz shares his journey from mathematician to early voice-recognition pioneer in 2000, to building enterprise AI/data infrastructure across Goldman Sachs, UBS, Morgan Stanley, Bloomberg, and JP Morgan. He explains why LLMs don’t “think,” why they’re dangerously convincing, and how executives keep asking, “Why can’t ChatGPT just do it?”—even when it’s the wrong hammer for the job. They also break down the AI adoption curve (and why it’ll be slower than the hype), how token pricing quietly blows up costs, why “piecemeal AI” becomes a trap, and the frameworks Naz uses to help investors and operators move faster without getting snookered by buzzwords.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Victory Podcast with Travis Cody. 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.