Natural Language Processing

As the Head of AI & Platform at Orangewood Labs, I’m thrilled to share the groundbreaking progress we’ve made with RoboGPT, our innovative solution that’s set to transform the robotics industry. By leveraging the power of Large Language Models (LLMs), we’ve created a voice and text-enabled interface for high-level planning with collaborative robots (cobots), eliminating the need for manual programming and accelerating low-level cognition.

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.

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 we continue to develop NomNom, our intelligent recipe chatbot, we’re excited to share some of the technical details behind its implementation. At its core, NomNom combines advanced Natural Language Processing (NLP) techniques with a robust RDF-based knowledge graph to deliver a seamless, conversational recipe search experience.

In the rapidly evolving world of artificial intelligence and natural language processing, we’re excited to introduce NomNom, a cutting-edge chatbot that’s set to transform the way people search for and discover recipes. By leveraging the power of Resource Description Framework (RDF) and knowledge graphs, NomNom is bringing a new level of intelligence to culinary exploration.

As AAHIT (Advanced Artificial Human Intelligence Technology) continues to revolutionize mobile search for emerging markets, it’s time to take a closer look at the technology powering this innovation and the impressive growth metrics it has achieved.

As we continue to develop NLPCaptcha, we’ve encountered and overcome several technical challenges. Today, I want to share some insights into these challenges and how we’ve addressed them using Python and various NLP techniques.

As an early founding engineer I’m excited to share our journey in developing NLPCaptcha, a revolutionary technology that’s set to transform both web security and digital advertising.

The Problem We’re Solving #

Traditional CAPTCHAs, while effective in distinguishing humans from bots, have become a source of frustration for users. They often involve deciphering distorted text, which can be time-consuming and irritating. Moreover, they represent a missed opportunity for website owners and advertisers.