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Artificial Intelligence

2024


Revolutionizing Online Gaming: AI-Driven Matchmaking for Hike's Rush Platform

As the leader of the Machine Learning team at Hike Limited, I spearheaded the development of an innovative AI-driven matchmaking system for Rush, Hike’s real-money gaming network. Our goal was to create a fair, engaging, and highly personalized gaming experience by automatically matching players based on their skill levels, gaming behavior, and overall user experience.

AutoInspect and AutoSpray: ML-Driven Precision in Industrial Robotics

As we enter 2024, I’m excited to share the remarkable progress we’ve made at Orangewood Labs with our AutoInspect and AutoSpray solutions. These innovative systems represent a significant leap forward in applying machine learning and computer vision to industrial robotics, particularly in the realms of quality control and precision manufacturing.

2023


Ensuring Trust in the Metaverse: AI-Powered Malicious Reporting Detection for Hike's Vibe

As the leader of the Machine Learning team at Hike Limited, I spearheaded the development of a sophisticated AI system to detect and mitigate malicious reporting within the Vibe metaverse. This project was crucial in maintaining a safe, trustworthy environment for users to interact and connect in virtual spaces.

Optimizing Social Connections: AI-Driven Matchmaking for Hike's Vibe Metaverse

As the leader of the Machine Learning team at Hike Limited, I led the development of a sophisticated AI-driven matchmaking system for Vibe, Hike’s innovative metaverse friendship network. Our goal was to create meaningful connections by optimally selecting users for virtual rooms, enhancing the overall social experience in the metaverse.

2022


Enhancing User Expression: ML-Powered Vernacular Sticker Keyboard at Hike

As the lead of the Machine Learning team at Hike Limited, I spearheaded the development of an innovative, AI-driven vernacular sticker keyboard. This project aimed to revolutionize user expression by intelligently suggesting stickers based on multilingual inputs, including Hinglish, Tamil English, and various other language combinations.