Gyanit Singh

CTO

San Jose, California, United States17 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in large-scale machine learning algorithms.
Founded eBay's Shop Science center of excellence.
Pioneered advancements in information retrieval.

Stackforce AI infers this person is a Machine Learning Expert in E-commerce and Data Science.

Contact

gyanit@gmail.com LinkedIn

Skills

Core Skills

Machine Learning

Other Skills

AlgorithmsApache PigArtificial IntelligenceBig DataCClickstream MiningComputer ScienceData MiningDeep LearningDistributed SystemsHBaseHiveInformation RetrievalJavaLarge Language Models (LLM)

About

I'm interested in building teams focused on developing and deploying large-scale machine learning algorithms. My personal research focuses on large scale classification problems, query log mining, natural language processing, text mining, and deep learning. For an updated list of my publications, please visit my Google scholar page https://scholar.google.com/citations?hl=en&user=tewtPuMAAAAJ

Experience

Ebay

3 roles

Senior Manager, Machine Learning

Promoted

Aug 2015 – Oct 2018 · 3 yrs 2 mos

I founded and run of Shop Science center of excellence in buyer experience org.
We are teams of engineers, statisticians and machine learning researchers.
Key area of focus are on (a) user generated content (ranking and spam/fake/profanity classification of product reviews, guides and collections), (b) user signaling and recommendation systems (c) product comparison features and (d) information extraction and summarization from unstructured data.
Under my leadership, my team applied cutting edge natural language processing (NLP), deep learning and other machine learning approaches to deliver value for users and generate revenue for product.
We are Hiring contact me.

Natural Language ProcessingDeep LearningMachine Learning

Staff Machine Learning Engineer

Sep 2013 – Sep 2015 · 2 yrs

Founding member of ebay Data Labs.
Drove internal tools, data driven analysis and visualization usage to make strategic business decisions.
Inventory on-boarding via supply-demand gap tool which analyzed internal and external demand and supply identifiers to locate gap and make recommendations to sellers.
Cross border trade channel optimizations, a tool which crunched 17 years of transaction data and let users issue visual queries via a dashboard.
Led a team of data scientist and engineers focused on user personalization (Gender/Brand/Sports & Music affinities), leading to incremental revenue via marketing campaigns.

Machine Learning, Senior Research Scientist

Sep 2008 – Sep 2013 · 5 yrs

Data science lead at eBay Research Labs (http://labs.ebay.com/people/gyanit-singh).
Pioneered research in null searches domain in information retrieval, leading to various publications, patents and search engine enhancements.
Built the next generation of Related Search Algorithm Suites, leading to significant improvements in engagement metrics and (double digit) in CTR.
As tech lead of Mobius Project drove the effort to deploy an in-house data processing stack on eBay's first Hadoop cluster (thousand of machines).
Designed and built SQL like language for mobius query language (MQL) used internally
to process session logs in Hadoop.
We also open sourced Mobius Java API (https://github.com/gysingh/openmobius)

Limewire llc

Software Engineer Intern

Jun 2006 – Sep 2006 · 3 mos · Gurgaon, India

Key goal for me was to build user graph based operations at scale and speed.

University of waterloo

Summer Intern

May 2005 – Jul 2005 · 2 mos · Waterloo, Ontario, Canada

I was research intern in the Networks Lab under Prof. Srinivasan Keshav. I worked on building a network software deployment system in mono (open source C#). Key goal was to use it for large scale deployment for various experiments on Planet Lab.