
Siddhant Garg developed core features for the Gauge repository, focusing on real-time personalized content feeds and robust data management using Swift, SwiftUI, and Firebase. He engineered a dynamic feed system with live updates by integrating real-time listeners and onChange-driven logic, enabling immediate personalization for users. Siddhant implemented an end-to-end ranking algorithm with recency-based scoring and decay rates to optimize post relevance, and refactored category data modeling for safer, more consistent storage and UI rendering. His work included persistent user engagement tracking and session-based topic reordering, resulting in scalable, reliable data workflows that improved content relevance and future extensibility.

April 2025: Delivered key Gauge features across ranking, categorization, and personalization, strengthening content relevance and data integrity. Implemented an end-to-end ranking system with next-best-post computation and recency-based scoring, refined decay rates, and stabilized post ordering. Refactored Post Categories data storage, mappings, and UI with safety checks to ensure robust reordering. Launched User Personalization and Engagement Tracking with persistence, session-based topic/stage reordering, and Firebase-backed storage for categories and topics. Addressed stability through merge-conflict fixes and Category Safety Check, improving reliability of category workflows. Overall, these changes drive more relevant content, higher engagement, and scalable data models for future growth.
April 2025: Delivered key Gauge features across ranking, categorization, and personalization, strengthening content relevance and data integrity. Implemented an end-to-end ranking system with next-best-post computation and recency-based scoring, refined decay rates, and stabilized post ordering. Refactored Post Categories data storage, mappings, and UI with safety checks to ensure robust reordering. Launched User Personalization and Engagement Tracking with persistence, session-based topic/stage reordering, and Firebase-backed storage for categories and topics. Addressed stability through merge-conflict fixes and Category Safety Check, improving reliability of category workflows. Overall, these changes drive more relevant content, higher engagement, and scalable data models for future growth.
March 2025 (Gauge - gtiosclub/Gauge) delivered a Dynamic Real-Time Feed with Personalization and resolved a data-consistency bug in post categories. The work enabled live, personalized content updates, improved data integrity, and laid groundwork for scalable real-time features. Key commit references: 92819041d255ae848bafbbcfb5fc39180759e34d (added listeners for subcollections and wrote getNext function) and 2a06b54d7501ecae1b78f607c67458c5e7cc0d59 (onChange function), plus 5804921fd8a6f011ff6941342cb50ab53bdf21a3 (Fixed bug in createPost).
March 2025 (Gauge - gtiosclub/Gauge) delivered a Dynamic Real-Time Feed with Personalization and resolved a data-consistency bug in post categories. The work enabled live, personalized content updates, improved data integrity, and laid groundwork for scalable real-time features. Key commit references: 92819041d255ae848bafbbcfb5fc39180759e34d (added listeners for subcollections and wrote getNext function) and 2a06b54d7501ecae1b78f607c67458c5e7cc0d59 (onChange function), plus 5804921fd8a6f011ff6941342cb50ab53bdf21a3 (Fixed bug in createPost).
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