Neeraj Varshney

AI Researcher

Palo Alto, California, United States2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Developed innovative applications for major tech companies.
PhD in NLP with a perfect academic record.

Stackforce AI infers this person is a skilled NLP and Machine Learning expert in the E-commerce and Software Development industries.

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Skills

Core Skills

Natural Language Processing (nlp)Machine Learning

Other Skills

Large Language Models (LLM)Deep LearningWeb Question AnsweringChat Recommendation SystemContext PredictionApplication DevelopmentBERTPyTorchTransformersBig DatapythonC++Operating SystemsJavaMicrosoft Outlook

About

Applied Scientist at Amazon working in Natural Language Processing. Ph.D. from Arizona State University. https://nrjvarshney.github.io/

Experience

Amazon

Applied Scientist II

May 2024 – Present · 1 yr 10 mos · Palo Alto, California, United States · On-site

Developing Shopping Assistant 'Rufus' for Amazon

Natural Language Processing (NLP)Large Language Models (LLM)Deep LearningMachine Learning

Tencent americas

Natural Language Processing Research Intern

May 2023 – Aug 2023 · 3 mos · Bellevue, Washington, United States · On-site

Detecting and Mitigating Hallucinations of Large Language Models - https://arxiv.org/abs/2307.03987

Natural Language Processing (NLP)Large Language Models (LLM)Deep Learning

Amazon

Applied Scientist Intern

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

Web Question Answering for Alexa

Natural Language Processing (NLP)Web Question Answering

Microsoft

2 roles

Software Engineer

Jul 2018 – Jul 2019 · 1 yr

• Worked towards developing a machine learning driven chat recommendation system aimed at augmenting user engagement with the product Microsoft 'Teams'.

Machine LearningChat Recommendation System

Intern

Jan 2018 – Jun 2018 · 5 mos

Samsung r&d institute

Summer Intern

May 2017 – Jul 2017 · 2 mos · Bangalore

Developed a 'context prediction' application incorporating features based on device events (e.g app usage, location) and sensor data (proximity sensor).

Valuefirst digital media pvt. ltd.

Summer Intern

May 2016 – Jul 2016 · 2 mos · Gurgaon, India

Worked on developing an android productivity application that can keep track of time spent on apps installed on a device and apprise the user with a daily report.
The app gives an option to set a time limit on the usage of applications and alerts the user when the app usage exceeds the limit. Hence, keeps the users informed about the time invested on mobile.

Context PredictionApplication Development