Hema Sai Charan Kothamasu

21 NOVEMBER, 2026

BANGALORE

( SPEAKER )

Lead Software Engineer | Developer Tooling, Mobile & Frontend

Inspectro

Hema Sai Charan Kothamasu (a.k.a. HemAndroid) is a 🚀 seasoned engineer with 13 years of experience across Android (Kotlin), Flutter (Dart), and — more recently — frontend developer tooling.

He is currently 🛠️ building Inspectro, a developer tooling product for frontend engineers—component inspection, click-to-source, live style and prop editing, network and performance insights, and in-editor debugging.

He is the 👨‍💻 Organiser of Flutter & FlutterFlow Hyderabad Communities, where he empowers developers through technical sessions, mentorship, and hands-on community events.

As a 🎙️ technical speaker at GDG Hyderabad, Flutter & AI Community, he has delivered impactful talks on secure mobile architecture, cross-platform development, observability, and dev tooling at conferences, devfests, and hackathons.

He's also a 📚 technical reviewer for Packt books, ✍️ tech blogger, and a committed mentor across universities and startups.

Hema's sessions blend deep technical insights with real-world use cases, making him a trusted voice in the developer community.

Unconference Roundtable

Tracking the Unpredictable: Monitoring AI Costs and Performance

Adding cloud-based AI to a Flutter app is exciting, but monitoring it in production is a massive headache. Unlike standard APIs that give predictable success or error codes, AI models are completely unpredictable. The core tension lies in tracking a system that changes constantly: two users can ask the same question, but the app might use vastly different amounts of data, run at different speeds, and cost different amounts of money each time, making it incredibly hard to spot real performance bottlenecks before your API bill spikes. This roundtable is a practical space for developers to discuss how they keep an eye on AI features after they go live. We will step away from basic app analytics to look at the broad challenge of tracking AI telemetry, managing usage tokens, and measuring the actual quality of AI responses. Join us to share what tools and metrics you use to keep your AI-powered apps fast, reliable, and affordable.

Session

Beyond Crashlytics: Building Autonomous Incident Intelligence for Flutter

This session explores how Flutter applications can automatically detect failures, collect runtime context, enrich incidents using AI-powered analysis, and trigger workflows without developer intervention. We’ll demonstrate a Flutter app that intentionally breaks through network failures, navigation issues, and runtime crashes while a background intelligence layer captures logs, screenshots, route history, and metadata, generates AI-assisted insights, creates Jira tickets, assigns owners automatically, and notifies teams in real time. Instead of manually investigating failures, what if your app could start solving them before you even opened the logs?