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Varnith Chordia
Machine Learning Engineer at Snap
About
Varnith Chordia is an experienced Applied Scientist with a strong background in research and development of machine learning and artificial intelligence models. Currently employed at Amazon, he has previously worked as a Member of Technical Staff at PARC, a Xerox company, and as a Mentor at Springboard. Varnith holds a Master of Science degree in Statistics from Rutgers Graduate School of Education, where he focused on developing language models and deep learning techniques for natural language processing. He also holds a Bachelor of Engineering degree in Electrical, Electronics and Communications Engineering from Anna University. With over 7 years of relevant experience, Varnith has a proven track record of delivering innovative solutions in the areas of search, information retrieval, and data science. He is proficient in a wide range of technologies, including AWS, Sagemaker, Word2Vec, LLM, NLP, and Docker. Varnith is a skilled researcher and developer, with expertise in software engineering, text classification, and language models. He is passionate about exploring new technologies and approaches to solving complex problems, and is committed to delivering high-quality results that meet the needs of his clients and stakeholders. Overall, Varnith is a highly skilled and experienced Applied Scientist with a strong technical background and a proven track record of success. He is a valuable asset to any team and is committed to delivering innovative solutions that drive business value and improve user experiences.
Education Overview
Companies Overview
• snapchat
• amazon
• parc a xerox company
• springboard
• deep converse
• exl
• indian institute of management bangalore
Experience Overview
10 Years
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Skills
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Algorithms
Amazon Web Services (AWS)
Artificial Intelligence (AI)
AWS SageMaker
banking
Business Intelligence (BI)
Conversion Rate Optimization
Customer Service
Customer Support
Data Science
Data Scientist
Deep Learning
Docker
E-commerce
Education
Electronics
Information Retrieval
language models
Large language models (LLM)
Machine Learning (ML)
Natural Language Processing (NLP)
Research
Research Scientist
Retail
Sagemaker
SAN
Search
simulations
Software Engineer
statistics
Text Classification
Word2Vec
Contact Details
Email (Verified)
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