Software Engineering in the AI Era: Data, ML & Platform Systems

Software ate industries. AI is now eating software

The rise of AI is undeniably real. An existential crisis looms on what it even is to build software anymore. The consequences are real: IT services and GSIs are downsizing. The Big 5 are downsizing. Everyone. Entire job functions are now being eliminated. If you are a software developer and you haven’t experienced it so far, you’re either living in a parallel universe.
If you’re a job seeker in these interesting times (or looking to transition to a less redundant role), we persuade you to attend this session.

📅 When: April 4 2026 | 10:00am - 01:00pm
📌 Where: 43 Workspace and Events

⚠️ Action Required: Please fill out this form to confirm your seat:
- https://platformatory.io/events/2026-04-software-engineering-ai-era/confirmation/
Seats are limited and will be allocated on a first-come, first-served basis.

🕒 Schedule -

• 10.00 am - 10.30 am: Welcome & Registrations
• 10.30 am - 11.30 am: Keynote: Engineering the AI Era (Data & Platforms)
• 11.30 am - 12.00 pm: Open Q&A: Careers & Architecture
• 12.00 pm - 1.00 pm: Lunch & Networking

🎙️Talk Spotlight -
Building the Modern AI Stack: From Data Pipelines to Production Platforms Speaker: Pavan Keshavamurthy, Co-founder & CTO, Platformatory

About the talk: In this session, Pavan will draw from his 15+ years of experience including building massive data infrastructures and distributed systems to explain how the roles of Data, ML and Platform engineers are converging.

Key takeaways:

• The Golden Triad: How to succeed as a software engineer in an AI-driven future.
• The Tech Stack: How technologies like Kubernetes, Kafka, and Spark integrate into the AI era.
• Job Security: Career choices that offer rock solid growth in the industry.

This session offers a rare opportunity to learn from a leader who has built and scaled tech businesses from the ground up.

About the Data and AI Forum -
Data & AI Forum brings together students and practitioners interested in making their career in Data and AI. We organize meetups, technical discussions and talks with experts working on real world systems.
A place to learn, share ideas, and meet others building in the field.

See you there!