Grad @ Carnegie Mellon University
ML & Big Data Researcher
Graduate Student at Carnegie Mellon University.
Applied research engineer with 4 years of work experience in Machine Learning/ Big Data and a proven track record of developing large-scale data systems, including implementation of Machine Learning at Scale solutions in the E-Commerce & CyberSecurity industries.
Developed an Indian Sign Language and Recognition System (ISLAR) for spreading awareness and helping the deaf and mute community in India. This effort got featured in multiple publications/blogs/newsletters including getting covered by Google in a youtube video.
Delivered 50+ keynotes/sessions/demonstrations covering various topics on Machine Learning.
Areas of Expertise: Information Retrieval, Product Ranking, Real-time Data platforms, Computer Vision, Natural Language Understanding, Big Data Systems.
The evil that men do lives after them; the good is oft interred with their bones Julius Caesar (Act III, Scene II)
Carnegie Mellon University
Specializing in Information Systems.
Senior Data Scientist
Applied research engineer at the Search Science Team focussing on Information Retrieval, Natural Language Processing, Conversational systems, and Visual algorithms at Lowe's.
Google Developer Expert (Machine Learning)
Selected as a machine learning expert for research and development of tensorflow package.
SDE-I (Data Platform)
Part of Data platform team which comes under CPE. The work is mostly concentrated on various big data technologies
Software Engineer (TFA)
Initially part of Traffic flow analyzer team and worked on TFA product for data collection and aggregation
Symbiosis Institute of Tech
B. Tech (CSE)
Completed my Bachelor's of Technology with specialization in Computer Science.