S

Shreya Singh

Software Engineer

San Francisco, California, United States8 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Natural Language Processing.
  • Led key projects at Google DeepMind and Microsoft.
  • Strong background in Recommender Systems and Applied ML.
Stackforce AI infers this person is a Senior ML Engineer specializing in AI and E-commerce solutions.

Contact

Skills

Core Skills

Machine LearningNatural Language ProcessingRecommender Systems

Other Skills

CC++CSSData leadDocument understandingEval leadHTML5HadoopJavaJavaScriptMicrosoft OfficeMySQLOpenCVPHPPersonalization

About

I am a Senior ML Engineer at Google DeepMind. I currently work on Gemini in Chrome (Chrome Agents) quality and evals. Previously, I lead quality and evals for two key Gemini post-training pillars - Tool-Use and Extensions, and Multi-turn dialog. My past projects at Google: (1) Lead evals for the Gemini Dialog pillar at Vertex AI Foundation Modeling team in Google Cloud AI. (2) Built NLP-powered solutions for document processing like classification, splitting and entity extraction at Document AI modeling team, Google Cloud AI I hold a Master's in Computer Science from Stanford University. My area of specialization is GenAI Evals, Natural Language Processing, Applied ML and Recommender Systems. Prior to Google, my work experience consist of: 1. Applied Scientist intern at Microsoft, Redmond in the Visual Studio Data Science team where I worked on building a Neural Code Search prototype using StackOverflow data powered by Deep Learning and IR techniques for C# Language. 2. ML Engineer in the Machine Learning team at Myntra (Walmart group) for two years where I was extensively involved in Personalization and Recommender Systems with the primary focus on building Personalized Size Recommendation System. I am always very excited to talk about anything related to Applied ML, Generative AI and women empowerment. Hit me up if you have an exciting idea/opportunity to discuss!

Experience

8 yrs 7 mos
Total Experience
2 yrs 2 mos
Average Tenure
4 yrs 11 mos
Current Experience

Google deepmind

Senior Software Engineer/Tech lead @Gemini

Jul 2021Present · 4 yrs 11 mos · Sunnyvale, California, United States · On-site

  • Gemini 1.0 and 1.5 papers
  • Gemini App Reasoning, Planning and Extensions, Eval lead
  • LLMs for Google Cloud (Vertex AI Foundation modeling team), Eval and Data lead
  • ML for Document understanding (Document AI), Modelling lead
Machine LearningEval leadData leadDocument understandingNatural Language Processing

Stanford university

2 roles

Graduate Teaching Assistant | Section lead

Apr 2021Jun 2021 · 2 mos

  • Graduate Teaching Assistant for CS 329T: Trustworthy Machine Learning

Graduate Research Assistant

Sep 2019Apr 2021 · 1 yr 7 mos

  • Working on Online pedagogy training in Prof. John Mitchell's group

Microsoft

Data and Applied Scientist Intern

Jun 2020Sep 2020 · 3 mos · Redmond, Washington, United States

Myntra

Machine Learning Engineer

Jul 2017Aug 2019 · 2 yrs 1 mo · Bengaluru Area, India

PersonalizationRecommender Systems

Samsung electronics

Summer Intern

May 2016Jul 2016 · 2 mos · Bengaluru Area, India

  • Worked on Distributed Video Analytics for producing summarization videos. Used opencv for Video Analytics along with Apache Hadoop for implementing a new model for distributed decoding of videos.
OpenCVHadoop

Iit bombay

Summer Research Intern

May 2015Jul 2015 · 2 mos · Mumbai Area, India

  • Research work on 'Reconstructing Macroeconomics using Statistical Physics'. The field of macroeconomics widely ignores the microeconomic fluctuations and the behavior of all the economic agents comprising an economy. It mostly deals with only one representative agent which represents the whole community. Hence, by using the concepts of statistical physics, I aimed at bridging the gap between macro and micro-economics, so as to make macroeconomics more reliable. The second part of the project dealt with analyzing the depression and the behavior when the economy is trapped in an 'Uncertainty Trap'. The project was concluded by doing a case study on the 'Greece Debt Crisis' .

Education

Stanford University

Master of Science - MS — Computer Science

National Institute of Technology Karnataka

Bachelor’s Degree — Information Technology

Stackforce found 100+ more professionals with Machine Learning & Natural Language Processing

Explore similar profiles based on matching skills and experience