Shalini Pandey

AI Researcher

Sunnyvale, California, United States6 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Structures.
Proven track record in optimizing complex systems.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on social impact and AI research.

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Skills

Core Skills

Machine LearningData StructuresGraph TheoryLanguage Models

Other Skills

AlgorithmsKnowledge GraphsStatistical ModelingCC++JavaProgrammingHTMLResearchPythonLinuxMatlabEnglishSQLMySQL

About

Seasoned ML Engineer and Tech Lead with impact-oriented mindset. I have a passion for working on products that customers find valuable and useful. Having worked with cross-functional teams, I deeply appreciate the value of diverse opinions and how they contribute to the creation of excellent products.

Experience

6 yrs 7 mos

Total Experience

2 yrs 3 mos

Average Tenure

5 yrs

Current Experience

Facebook

2 roles

Research Scientist

Jun 2021 – Present · 5 yrs

Spearhead a transformative initiative at Facebook, collaborating with economists and data scientists to redefine long-term advertiser value.
Pioneered optimization of ranking stack to handle multiple generative creatives.

Machine LearningData StructuresAlgorithms

Software Engineer Intern (PhD)

Aug 2020 – Nov 2020 · 3 mos

As part of Social Impact Machine Learning group, developed a model for generating graph-based embeddings of entities in the Charitable Giving Platform using the interactions graph. Further used the model to improve various downstream tasks including, invitee recommendation, "charity of interest" recommendation and fundraiser donation conversion.

Machine LearningGraph TheoryData Structures

Microsof ai and research

Applied Scientist Intern

Jun 2020 – Aug 2020 · 2 mos

Investigated the capability of language models to capture facts and relation knowledge. For this I compare TuringNLG model with state-of-the-art knowledge graph based model for QnA task. Additionally, I built a facts-aware language model by extracting factual statements grounded with knowledge graph and continue train the language model with those statements.

Language ModelsKnowledge GraphsMachine Learning

Technicolor

AI Research Intern

Jun 2018 – Aug 2018 · 2 mos · United States

Built a model to profile different users based on their TV watching behavior. The model consists of a hidden semi markov model with users as latent variables and channels and duration as observed variable.

Machine LearningStatistical Modeling