Sheallika Singh

Machine Learning Engineer

San Francisco, California, United States9 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning technologies.
Led development of large scale personalization models.
Strong academic background in Mathematics and Data Science.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions for B2C applications.

Contact

Skills

Core Skills

Machine LearningDeep LearningComputer VisionNatural Language ProcessingData Science

Other Skills

DNNGenerative AILarge Language Models (LLM)Python (Programming Language)CRC++Microsoft ExcelMicrosoft OfficeMatlabSQLLinuxPublic SpeakingLaTeXAlgorithms

About

As a Staff Machine Learning Engineer at Linkedin, I help lead efforts around large scale personalization models, and sequential learning for recommender systems. Prior to this, I was a Senior Machine Learning Engineer at Uber ATG (later Aurora) and played my role in making self driving cars a reality. I am an alumni of Columbia University where I did my Masters degree, and also Indian Institute of Technology, Kanpur where I did my undergraduate studies in Mathematics and Scientific Computing. I have a strong background and interest in the field of Machine Learning, Statistics and their applications to everyday life. I want to harness the power of technology to positively impact a larger section of society.

Experience

9 yrs 4 mos

Total Experience

1 yr 10 mos

Average Tenure

4 yrs

Current Experience

Staff Machine Learning Engineer

Jun 2022 – Present · 4 yrs · Sunnyvale, California, United States

AI and Machine Learning. Improving Recommendations and Ranking Models

Deep LearningDNNGenerative AILarge Language Models (LLM)Machine Learning

Aurora

Senior Machine Learning Engineer

Jan 2020 – May 2022 · 2 yrs 4 mos · United States

Joined as part of acquisition of Uber ATG. Using Computer Vision and ML techniques to accelerate self-driving development.

Deep LearningDNNMachine LearningComputer Vision

Uber advanced technologies group

Machine Learning Engineer

Feb 2018 – Jan 2021 · 2 yrs 11 mos · San Francisco Bay Area

Using Computer Vision and ML techniques to accelerate self-driving development.

Deep LearningDNNComputer VisionMachine Learning

Netflix

Computer Vision Research Intern

May 2017 – Aug 2017 · 3 mos · Los Gatos, California

Deep LearningDNNComputer Vision

Columbia university in the city of new york

Graduate Teaching Assistant

Jan 2017 – Mar 2018 · 1 yr 2 mos

Course Assistant for COMS W4995 Applied Machine Learning - Spring 2017
Course Assistant for COMS 4771: Machine Learning - Fall 2018
Course Assistant for EECS 6893: Big Data Analytics - Fall 2018
Hold weekly office hours for lecture content explanation and assignment consultation
Grade course assignments and exams

Deep LearningMachine Learning

Agolo

Natural Language Processing Intern

Jan 2017 – May 2017 · 4 mos · Greater New York City Area

Extracting Relations From Large Plain-text Collections:
Extract patterns of sentence in which input Organisation-Founder relationship occurs in newspaper articles text data
Extract Organisation-Founder relationship for organisations which are not well known using these patterns
Goal is to develop Automated Information Retrieval model

Deep Learning

Fuzzy logix

Data Science Internship

May 2015 – Jul 2015 · 2 mos · Bangalore, India

Interned under the guidance of Mr. Partha Sen (CEO and Chief Vision Officer, Fuzzy Logix) on the development of ensemble models for various data mining algorithms used in statistical classification. Fuzzy Logix based in Charlotte, New Carolina (USA) is an analytics software and professional services company that provides effective new generation in-database analytic solutions.

Deep Learning