Call for submissions: Platform Engineering meet-ups

Share your journey of building platforms that power engineering teams

📍 Upcoming meet-up

👉 9 May, Bangalore (registrations open)

The next meet-up will be hosted at InMobi Technologies, Bangalore.

SnehashisManas

👉 Register to attend: http://has.gy/3sCn


📢 Speak at upcoming editions

We’re now accepting submissions for:


🏦 June (Mumbai)

Platform Engineering for Agentic Workloads in FinTech

Why this theme matters

AI is rapidly moving from copilots to autonomous agents that reason, decide, and act.

In FinTech, this unlocks use cases like:

  • Fraud investigation agents
  • Autonomous reconciliation systems
  • Intelligent underwriting and compliance monitoring

But most platforms today are still built for:

  • dashboards
  • batch pipelines
  • human-in-the-loop workflows

This meet-up explores how platform engineering must evolve to support:

  • real-time, event-driven AI systems
  • auditable and compliant decision-making
  • reliable and observable agent behavior

Suggested topics

  • Designing platforms for agentic workloads
  • Real-time data + event-driven architectures for AI
  • Memory, context, and state management for agents
  • Observability for AI decisions and actions
  • Governance, compliance, and auditability in FinTech
  • Cost and reliability of LLM-powered systems
  • Safe deployment patterns: guardrails, rollbacks, human-in-loop
  • Reference architectures for AI-native FinTech platforms

🤖 July (Bangalore)

AI and Platform Engineering

  • 🗓 Date: Saturday, 4 July
  • 🕒 Time: 3:00 PM – 5:00 PM
  • 📍 Venue: To be announced

👉 Interested in hosting this edition?
Reach out at info@hasgeek.com or +91 7676332020

Why this theme matters

AI is part of everyday engineering workflows.

  • 85% of platform engineers already use AI
  • But most struggle to scale it beyond individual productivity
  • AI workloads are moving onto shared production platforms

This creates new platform challenges:

  • Non-deterministic systems
  • GPU scheduling and utilization
  • Cost management for inference
  • Guardrails, moderation, and safety
  • Observability for prompts, outputs, and drift

This meet-up focuses on how teams are making AI:
👉 operable, reliable, and production-ready

Suggested topics

  • Platforms for LLM and AI workloads in production
  • Model serving, inference pipelines, and GPU orchestration
  • Guardrails, safety systems, and moderation layers
  • Cost control and optimization for AI workloads
  • Observability for AI systems (prompts, outputs, drift)
  • Standardizing AI usage across teams
  • Kubernetes and infrastructure patterns for AI systems

🌐 About Platform Engineering meet-ups

Platform engineering is one of the fastest-growing disciplines in technology—and Bangalore is at the center of this shift.

Launched in November 2025, these meet-ups happen once every two months and bring together practitioners building and operating platforms at scale.

This is a space for:

  • real-world stories
  • hard-earned lessons
  • systems that have actually been tested in production

🧑 ⚖️ Curated by

  • Bharadwaj Embar — Engineering Manager, Nutanix
  • Talina Shrotriya — Senior Engineering Manager, Couchbase
  • Vivek Pemavat — Principal Engineer, Acceldata

💡 What we’re looking for

We invite case studies and experience reports across:

  • Platform foundations: Kubernetes, ECS, Nomad, VMs, hybrid models
  • AI/ML workloads on platforms: pipelines, GPU management, scaling infra
  • Provisioning & lifecycle management at scale
  • Internal Developer Platforms (IDPs): adoption, impact, lessons
  • Platform as a product: developer adoption, success metrics
  • Reliability & observability as capabilities
  • Cost efficiency & FinOps
  • Security by design

👉 Strong preference for real systems, real trade-offs, and real outcomes.


🎤 Format

Each meet-up features:

  • 1 in-depth talk (30–40 mins)
  • 2–3 demos / flash talks (10 mins each)

📩 Submit your proposal

👉 Submit your talk/demo: http://has.gy/s2wz


🤝 For sponsorships & partnerships

📧 info@hasgeek.com
📞 +91 7676332020


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