Techlahoma Foundation

04/21/2026

Meet us at Gitwit for the 2026 200OK Developer Conference!

Grab your discounted ticket before it’s too late!!

04/10/2026

Techlahoma President Jalen Byford brought real talk to the room, sharing his presentation on Enterprise AI transformation and pulling back the curtain on his own AI strategy at Humana.

03/31/2026

Join the fun by volunteering in one of our committees!

03/20/2026

Increase your company’s brand visibility by sponsoring an event! Have questions about ROI? Send us a message and we’d be happy to help 💛

03/10/2026

Thanks to this kid (and some of his friends), we get to serve our community in the best way. 💛🦬

03/06/2026

Just a couple of kids serving Oklahoma’s tech community 💛🦬

02/24/2026

We’re excited to recognize Techlahoma Ambassador Luigi Polvani this month for the impact he’s made in our community!

Over several years, Luigi has taken real initiative in building connections in OKC.

What started as interest has turned into consistent, well-attended gatherings because he’s been willing to organize, follow through, and bring people together.

That kind of leadership doesn’t always show up loudly, but it makes a lasting difference.

Thank you, Luigi!

02/21/2026

Tulsa, we love you 🦬

02/19/2026

Happening Today!

🚀 Level up your machine learning career in big tech (and learn how GenAI safety actually works in the real world)!

Join us for February’s Expert AMA: Machine Learning in Big Tech with Maria Shaukat.

During this members only AMA, Maria Shaukat, a Machine Learning Engineer at LinkedIn specializing in Generative AI Safety, will share insights on building safe and responsible AI systems, her journey from graduate research to big tech, and what AI safety looks like inside enterprise environments. Whether you are an AI practitioner, aspiring ML engineer, or simply curious how major tech companies approach GenAI safety, this is your chance to ask questions, get real world perspectives, and learn from someone at the forefront of the field.

📅 Date: Thursday, February 19, 2026
🕓 Time: 12:00 – 1:00 PM CST
📍 Location: Virtual – Register to receive the event link - https://luma.com/9f8fqax9
🎟️ Cost: Free for all Techlahoma members *

About the speaker:
Maria Shaukat is a Machine Learning Engineer at LinkedIn working in Generative AI Safety. Her expertise spans deep learning, computer vision, graph neural networks, and reinforcement learning in real world systems. She earned her Master’s in Electrical and Computer Engineering from the University of Oklahoma, where her research focused on Graph Neural Networks and Reinforcement Learning for cellular network optimization.

Prior to LinkedIn, Maria interned at Intel Labs (Deep Reinforcement Learning) and at LinkedIn’s Knowledge Graph Team building Large Language Model applications. She is also a Professional Mentor for the U.S. Department of State’s TechWomen Program and has presented at venues including the Stanford Graph Learning Workshop. She is a recipient of the Google Generation Scholarship.

Registration priority: Due to limited capacity for live call participation, priority will go to Techlahoma Members first (thank you for supporting the community), then Techlahoma Slack members. If you cannot get a spot on the interactive call, we will be live streaming the full event on LinkedIn so everyone can still watch and learn.

About Event Join us for an exclusive conversation with Maria Shaukat, a Machine Learning Engineer at LinkedIn specializing in Generative AI Safety. During this…

02/17/2026

Coming up! This Thursday!

🚀 Level up your machine learning career in big tech (and learn how GenAI safety actually works in the real world)!

Join us for February’s Expert AMA: Machine Learning in Big Tech with Maria Shaukat.

During this members only AMA, Maria Shaukat, a Machine Learning Engineer at LinkedIn specializing in Generative AI Safety, will share insights on building safe and responsible AI systems, her journey from graduate research to big tech, and what AI safety looks like inside enterprise environments. Whether you are an AI practitioner, aspiring ML engineer, or simply curious how major tech companies approach GenAI safety, this is your chance to ask questions, get real world perspectives, and learn from someone at the forefront of the field.

📅 Date: Thursday, February 19, 2026
🕓 Time: 12:00 – 1:00 PM CST
📍 Location: Virtual – Register to receive the event link - https://luma.com/9f8fqax9
🎟️ Cost: Free for all Techlahoma members *

About the speaker:
Maria Shaukat is a Machine Learning Engineer at LinkedIn working in Generative AI Safety. Her expertise spans deep learning, computer vision, graph neural networks, and reinforcement learning in real world systems. She earned her Master’s in Electrical and Computer Engineering from the University of Oklahoma, where her research focused on Graph Neural Networks and Reinforcement Learning for cellular network optimization.

Prior to LinkedIn, Maria interned at Intel Labs (Deep Reinforcement Learning) and at LinkedIn’s Knowledge Graph Team building Large Language Model applications. She is also a Professional Mentor for the U.S. Department of State’s TechWomen Program and has presented at venues including the Stanford Graph Learning Workshop. She is a recipient of the Google Generation Scholarship.

Registration priority: Due to limited capacity for live call participation, priority will go to Techlahoma Members first (thank you for supporting the community), then Techlahoma Slack members. If you cannot get a spot on the interactive call, we will be live streaming the full event on LinkedIn so everyone can still watch and learn.

About Event Join us for an exclusive conversation with Maria Shaukat, a Machine Learning Engineer at LinkedIn specializing in Generative AI Safety. During this…