About

Rishikesh (ऋषिकेश) is a seasoned AI Engineer and researcher with over 7 years of experience in the field. With a strong background in Software engineering, Data Science, and Deep Generative Modelling, he is well equipped to drive innovation and business success. Currently, he serves as the Co-Founder and CTO at Deepsync Technologies, a company focused on using machine learning techniques to generate human-like speech from text inputs. Prior to co-founding Deepsync Technologies, Rishikesh honed his skills at Nucleus Software and Humonics Global, where he spent 2.5 years as a software engineer and 1 year as a data scientist, respectively. At Humonics Global, he worked on an end-to-end speech engine for their chatbot, using state-of-the-art machine learning technologies like Wavenet, DeepSpeech, DeepVoice, SimpleRNN, and GAN. He also worked on building a knowledge graph from unstructured text data, face recognition engine with liveness detection, and an automatic question and answer generation system for reading comprehension tasks. Rishikesh's expertise is not limited to his professional work. He is deeply committed to staying current with the latest techniques and technologies in the AI field. He is also actively involved in the open-source community, making valuable contributions that further advance the state of AI. Rishikesh holds a Bachelor of Technology (BTech) in Electronics and Instrumentation Engineering from NIT Silchar. He completed his AISSCE in Mathematics and Computer Science from Kendriya Vidyalaya Shaktinagar. His tech stack includes Senior Software Engineer, AI, Data Scientist, Research Scientist, Software Engineer, ML, Neural Networks, Reinforcement Learning, and GAN.