Shubhra Chandra

Machine Learning Engineer

Mountain View, California, United States16 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning applications.
Led engineering for Alexa's dialog management innovations.
Proficient in building scalable intelligent systems.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI/Voice Technology and Data Science.

Contact

Skills

Core Skills

Machine LearningDeep Learning

Other Skills

PythonLarge Language Models (LLM)Tensor FlowApache SparkRecommender SystemsCollaborative FilteringStatistical ModelingData StructuresScalaC++Data MiningBig DataAlgorithmsHiveR

About

Apply machine learning and deep learning to solve data science problems and build scalable intelligent systems using distributed computation frameworks. Interests: Machine Learning, Deep Learning, NLP, LLMs, Foundational Models

Experience

16 yrs 1 mo

Total Experience

2 yrs 3 mos

Average Tenure

4 yrs 8 mos

Current Experience

Google

Machine Learning Engineer

Sep 2021 – Present · 4 yrs 8 mos · Mountain View, California, United States

Large models for Ads Safety

Deep LearningMachine LearningPythonLarge Language Models (LLM)Tensor Flow

Amazon

Machine Learning Engineer

Oct 2017 – Sep 2021 · 3 yrs 11 mos · San Francisco Bay Area

Working on Alexa Conversations as one of the lead engineers to build a deep learning based approach to dialog management that enables skill developers to create natural, human-like voice experiences on Alexa.
My focus is specifically on Dialog Simulator which is one of the key science innovations behind Alexa Conversations
https://www.amazon.science/blog/science-innovations-power-alexa-conversations-dialogue-management

Machine LearningDeep Learning

Ebay

Machine Learning Engineer(MTS)

Jan 2016 – Sep 2017 · 1 yr 8 mos · San Francisco Bay Area

Use Machine Learning for price prediction for incoming inventory on eBay

Machine Learning

Chartboost

Machine Learning Engineer

May 2014 – Dec 2015 · 1 yr 7 mos · San Francisco Bay Area

Focussed on using Machine learning and data science to solve problems in Ad targeting, ranking and relevance

Machine Learning

Facebook

Data Science Intern

Oct 2013 – Jan 2014 · 3 mos

Performed large scale statistical analysis and derived useful insights for several features in the advertiser segment that were extremely valuable in the business and decision making process.