droidconIN 2016 The Art of Scaling Mobile Apps - Tips, Tricks and Strategies learned on App with 20M+ DownloadsGO-JEK is Indonesia’s largest startup, growing 900X in the 18 months since launch. GO-JEK’s platform powers the Indonesian equivalents of Ola, PayTM, Swiggy, Grophers, Zomato, Dunzo and UrbanClap - all using a SINGLE app, and at comparable scale. GO-FOOD alone already does more daily orders than all Indian food tech startups combined. more
Section: Full talk (40 minutes)
Technical level: Advanced
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Submit a talk on data Realtime System Uptime Tracking for 2M req/min@GO-JEK, we serve more than 3M+ customers daily. This involves rigorous discipline around system reliability and availability. One of the tools that helps us achieve this goal is our Realtime System Uptime Tracking. more
Technical level: Intermediate
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Open Source AI Hackathon 2024 Bodhilib - An OSS multi-language, performant, plugin architecture based, composable LLM libraryBodhilib Bodhilib is an Open-Source, performant, plugin architecture based, composable LLM library. more
Category: AI tools/SDK innovation
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February 2024 Rustacean Meetup Bodhilib - An OSS multi-language LLM libraryBodhilib https://github.com/bodhisearch/bodhilib Bodhilib is a multi-language LLM library. The core components of bodhilib are written in Rust. Currently provides Python bindings using PyO3. more
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Advancing multimodal and agentic AI: systems, storage & scalability Challenges in building Multi-Platform on device AI ApplicationsDescription Developing cross-platform AI applications presents unique challenges, especially when aiming to provide consistent experiences while leveraging native capabilities. This session explores the architectural decisions behind Bodhi App, an open-source platform that enables users to run LLMs locally. I’ll share our experience using the Tauri framework—combining Rust’s performance with web … more
Type of session: 10 mins Lightning talk/demo
I am submitting for: Blr OSAI meetup in April 2025
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The Fifth Elephant 2025 Annual Conference ML in a Box - a Birds of Feather sessionMachine Learning makes one think of large datacenters and high end hardware. But is it possible to run effective ML workloads on your laptop or your homebrew setup? What type of hardware and devices can you put together and wring some ML juice out of it? Join this Birds of Feather session to find out! more
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