AI-Accelerated Development, Self-Healing CI/CD Loops & Adaptive Tests. A decade of experience building hard-tech systems. Now an AI Engineer teaching teams how to ship faster with tools that actually work in production.
Based on implementations at Balena and teams trained. Measured outcomes, not projections.
Production-tested techniques from someone who builds AI systems daily, not just talks about them.
AI Engineer @ Command Code · Founder, Mixster · Ex-Balena
Vipul builds neuro-symbolic AI agents at Command Code that learn developer preferences and coding styles. Previously, he led product and engineering at Balena, where he built Leviathan—the first open-source Hardware-in-the-Loop testing system for IoT. It reduced OS release cycles from 6 weeks to 3 hours and delivered $250K+ in annual savings.
Over the past decade, he has delivered 127+ technical sessions at conferences including GDG DevFest, OpenSSF India, Open Source Summit (Europe & Japan), PyCon India, and Mozilla Festival. He has contributed to open source since 2016, completed Google Summer of Code twice, and helped grow GitTogether Delhi to 5,000+ members.
Master AI assistants (Copilot, Claude, Cursor) for writing, refactoring, and debugging real code with tests.
Create test frameworks that adapt when UI changes. Generate test suites from requirements.
Integrate AI into your pipelines. Automate code review, security scanning, and quality gates.
Get a roadmap for rolling out AI tools with clear metrics to measure success.
Every participant completes a hands-on capstone project using their own codebase or a provided sample. You don't just learn concepts—you build something real that proves immediate ROI to your team.
"Vipul's LLM evals talk was thoughtful, relevant, and deeply technical. His leadership in the GitTogether community reflects his commitment to fostering collaboration."
Tech Lead - India, Tech Mahindra
Structured progression from fundamentals to implementation. Every session includes working code you take home.
Understand where AI coding tools actually are today. Benchmark your team's readiness and identify quick wins.
This is where you write code. Watch a complete feature built live, then build one yourself with AI assistance.
Build test frameworks that don't break when your UI changes. Especially valuable for teams drowning in flaky tests.
Turn what you learned into an action plan. Build a realistic adoption roadmap for your specific team.
"HUGE gratitude to Vipul for being the most supportive and incredible mentor. An amazing GitHub Copilot talk from beginner to advanced level."
GitHub Campus Expert · Engineering @ Soti
Everything included in the base workshop.
The learning doesn't stop when the workshop ends
Send your team size, tech stack, and challenges. I'll respond with a customized plan.