TabFM: Zero-Shot Tabular Foundation Model
A zero-shot foundation model designed specifically for tabular data inference, featuring fine-tuning guides and high accuracy across diverse benchmark datasets.
Hi, I'm Pratik Date. I'm a software engineer specializing in mobile app development with Flutter & Dart, crafting native integrations, responsive UI architecture, and mobile systems engineering.
My primary work focuses on mobile application architecture—building smooth cross-platform experiences, optimizing performance, and integrating modern AI capabilities into mobile products.
I've engineered native skill runners (STAC), interactive desktop companion apps (Byte AI), and zero-shot tabular AI models (TabFM). I write technical essays on mobile engineering, Flutter performance, software architecture, and AI integrations.
A zero-shot foundation model designed specifically for tabular data inference, featuring fine-tuning guides and high accuracy across diverse benchmark datasets.
Technical analysis on fine-tuning open LLMs for custom Byte AI companion conversations, dataset curation, and why Apple Silicon unified memory makes M-series Macs fast for local QLoRA fine-tuning.
High-performance Dart native skill installation pipeline for STAC, enabling cross-platform modularity and fast execution.
Official certification issued by Unity Technologies and Google Play. Validates core competencies in Unity game development, C# object-oriented programming, real-time graphics, physics, state machines, and mobile performance optimization.
Selected as Ambassador for AE Global Summit ("Thinking About Thinking"), representing community tech initiatives and emerging developer systems.
Recognized for open-source contributions, teamwork, and building high-impact community developer tools during Hacksquad 2023.
iOS App Lifecycle vs. Android App Lifecycle: The Ultimate Architectural Guide & Bug-Fixing Playbook
Google’s TabFM: Why Zero-Shot Foundation Models Are Changing Tabular ML Forever