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Ujjwal Gupta

Senior Software Engineer

New Delhi, Delhi, India8 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Natural Language Processing.
  • Experience with privacy-centric measurement in advertising.
  • Strong background in research and academic assistance.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AdTech and NLP applications.

Contact

Skills

Other Skills

Deep LearningMachine LearningNatural Language Processing (NLP)ProgrammingPython (Programming Language)

Experience

Google

3 roles

Senior Software Engineer

Promoted

Nov 2024Present · 1 yr 4 mos

Software Engineer III

Nov 2021Oct 2024 · 2 yrs 11 mos

  • Google Ads - Privacy Centric Measurement using Conversion Modeling

Software Engineer II

Aug 2020Oct 2021 · 1 yr 2 mos

  • Google Ads - Privacy Centric Measurement using Conversion Modeling

Indian institute of technology, delhi

3 roles

Undergraduate Teaching Assistant

Aug 2019Jul 2020 · 11 mos

  • Intro. to Computer Science (COL 100)
  • Prof. Prem Kalra and Prof. Huzur Saran (August 2019 - November 2019)
  • Prof. Subhashis Banerjee and Prof. Subodh Sharma (January 2020 - July 2020)

Undergraduate Research Assistant

Aug 2019Jul 2020 · 11 mos

  • Bachelor Thesis Project on "Open Knowledge Graphs for Extractive Multi-Document Summarization"
  • Theme - Natural Language Processing
  • Advisor - Prof.Mausam
  • Co-Advisor - Prof. Parag Singla

Undergraduate Research Assistant

Oct 2017Sep 2019 · 1 yr 11 mos

  • Theme - Improved Diagnosis of Parkinson's Disease using Handwriting Data
  • Field - Computational Biology
  • Advised by Prof. Deepak Joshi

Google

Software Intern

May 2019Jul 2019 · 2 mos · Bengaluru, Karnataka, India

  • Interned in the Google Pay team. Developed ML models to automate the user bill paying pipeline and improve user experience. Built an app in Android Studio with on-client analysis and inference.

Singapore management university

Research Assistant

May 2018Jul 2018 · 2 mos · Singapore

  • LiveLabs Urban Innovation Platform, School of Information Systems,SMU
  • Theme - Non-Intrusive Monitoring of Gym Exercise
  • Developed Machine Learning models to classify exercise reps according to its quality achieving over 90% accuracy in subject dependent study.

Education

Indian Institute of Technology, Delhi

Bachelor in Technology — Computer Science and Engineering

Jan 2016Jan 2020

Greenfields Public School - Dilshad Garden

Class 1-12

Jan 2004Jan 2016

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