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Ashwin Paranjape

Co-Founder

Stanford, California, United States11 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Natural Language Processing and dialogue systems.
  • Led a team to develop a successful social chatbot.
  • PhD from Stanford with a focus on AI research.
Stackforce AI infers this person is a leader in AI and Natural Language Processing with a strong research background.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Deep Learning

Other Skills

Dialogue SystemsNeural GenerationChatbot DevelopmentKnowledge Base PopulationNLP TechniquesAlgorithm DevelopmentData AnalysisImage ProcessingPyTorchPythonProgrammingAlgorithmsMachine LearningComputer VisionC++

About

AI Lead at Samaya AI, defining and executing our AI strategy. Previously CS PhD at Stanford advised by Prof. Chris Manning in the NLP group working on open-domain dialogue systems.

Experience

11 yrs
Total Experience
7 yrs 8 mos
Average Tenure
3 yrs 7 mos
Current Experience

Samaya ai

2 roles

Founding AI Lead

Promoted

Feb 2025Present · 1 yr 3 mos · Mountain View, California, United States

Founding NLP Scientist/Engineer

Oct 2022Feb 2025 · 2 yrs 4 mos · Mountain View, California, United States

Stanford university

7 roles

Co Lead Alexa Prize Team - Chirpy Cardinal

Sep 2019Jun 2020 · 9 mos

  • Managed a team of 10 students to develop a social chatbot that was used by hundreds of thousands of users via Alexa Devices. We used neural generation for empathetic and informative conversations. We designed our bot was a scalable research platform, allowing our first time team to win 2nd place in the competition.
Natural Language Processing (NLP)Neural GenerationChatbot Development

PhD Student @ NLP Group

Promoted

Sep 2016Jan 2023 · 6 yrs 4 mos

  • I work with Prof. Christopher Manning on building open-domain dialogue agents.
Natural Language Processing (NLP)Dialogue Systems

Graduate Research Assistant @ PhD Rotations

Sep 2016Jun 2017 · 9 mos

  • I worked with Prof. Christopher Manning, Prof. Tim Roughgarden and Prof. Moses Charikar for 3 quarters in my first year of rotations

Graduate Research Assistant @ NLP Group

May 2016Jul 2016 · 2 mos · United States

  • I worked with NLP group on Knowledge Base Population (KBP) task. In particular on the participating team for TAC-KBP challenge. KBP involved pipelining many smaller tasks like POS-Tagging, Parsing etc. I analyzed mane places in the pipeline where simple fixes could improve overall performance.

Graduate Research Assistant @ SNAP

Jan 2016May 2016 · 4 mos · United States

  • Working with Prof. Jure Leskovec and Austin Benson, we developed and evaluated new algorithms to count temporal motifs, and analyzed temporal datasets like email, messages, bitcoin transactions etc. using these counting methods to discover interesting insights. This work was published in WSDM 2017.
Knowledge Base PopulationNLP TechniquesNatural Language Processing (NLP)

Graduate Teaching Assistant @ CS231N

Sep 2015Dec 2015 · 3 mos · United States

  • Teaching assistant for Natural Language Processing course at Stanford taught by Prof. Christopher Manning. Apart from my usual duties I also created a new assignment and a tutorial for it.
Algorithm DevelopmentData Analysis

Graduate Research Assistant @ SNAP

Sep 2014Sep 2015 · 1 yr · United States

  • Working as a research assistant in SNAP group with Prof. Jure Leskovec and Robert West, my aim was to propose and evaluate methods for introducing useful links in Wikipedia articles. In our first work, people played a game to go from a source article to a target article, and we introduced paths based on analyzing these traces. In our second work, we used passively collected server logs to analyze the most valuable links to add. These works were published in WWW 2015 and WSDM 2016.
Natural Language Processing (NLP)

Microsoft

Research Intern

May 2013Jul 2013 · 2 mos · United States

  • I worked with Brian Guenter on applying deep neural networks for processing of RAW images. I learned from scratch and implemented convolutional neural networks for CPU using C#
Deep LearningImage Processing

Institute of science and technology austria

Research Intern

May 2012Jul 2012 · 2 mos · Austria

Education

Stanford University

Doctor of Philosophy - PhD — Computer Science

Jan 2016Sep 2022

Stanford University

Master's degree — Artificial Intelligence

Jan 2014Jan 2016

Indian Institute of Technology, Bombay

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2010Jan 2014

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