Machine Learning

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.

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.

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.

In the dynamic world of peer-to-peer (P2P) marketplaces, effective communication between traders is crucial for successful transactions. As an engineering consultant who recently led the integration of AI into a trade chat system for a major P2P platform, I want to share insights on how artificial intelligence can transform user interactions, enhance safety, and streamline the trading process.

Dipankar Sarkar has a history of launching and advising tech start-ups, with expertise in blockchain, machine learning, microblogging, and more. Their ventures have attracted investor interest, user engagement, and media attention, showcasing their ability to innovate and lead.

D. Sarkar is a proficient researcher in machine learning, cryptography, and distributed systems, with numerous publications and patents to his name. With a book on Nginx web server under his belt, Sarkar’s research papers span across federated learning and continuous optimization. Sarkar holds a Masters from Arizona State University in Computer Science with a specialisation in Cyber-Security and a B.Tech from the Indian Institute of Technology. Notable achievements include being awarded for the best project at IIT Delhi’s Open House and an excellent academic performance by Eta Kappa Nu - the engineering honor society of IEEE.

This is a detailed professional portfolio of an individual with more than 14 years in the tech industry. Their accomplishments span across driving multimillion-dollar businesses, scaling consulting operations, filing patents, and publishing machine learning research. The individual has a robust consulting history, working with top companies across India in different capacities. In addition, they have a substantial employment background in senior engineering roles. The individual’s experience is further broadened by their participation in numerous internships.

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.

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.

As a Machine Learning Consultant at Hike Limited, I worked on the development of cutting-edge computer vision models for Hikemoji, a project aimed at generating cool avatars directly from users’ selfies.