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Manraj Singh Mondair

NA

Manraj Singh Mondair
  • NA

    Graduates 01/06/2028

  • Computer Science, Management Science

    Stanford University

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Education

  • University/College: Stanford University
  • Major: Computer Science, Management Science
  • Minors: Mathematics
  • Start Date: 24 September 2024

Work Experience

Project Management Intern

Bank of America NA

Oversaw a $7.8M expansion campaign for The Boys & Girls Club of Fresno County, securing 6+ corporate partnerships. Spearheaded regional conference, leading cross-functional teams & stakeholders creating seamless engagement for 100+ attendees. Presented socio-economic reform proposals at the USA Capitol, receiving recognition from the Speaker of the House.

Skills:
  • .NET
  • C++
  • GNU Octave
  • Matlab
  • Matplotlib
  • Python
  • PyTorch
  • R
  • R Shiny
  • Swift
  • TensorFlow

Software Developer

Harvard Medical School & McLean Hospital NA

Developed an interactive recruitment dashboard to optimize the management of 800+ patient databases for trauma research. Built a patient data management system using R Shiny & API, improving research efficiency and data accessibility tools. Participated in a project that received $3.2M in NIH/NIMH funding.

Skills:
  • .NET
  • C++
  • GNU Octave
  • Matlab
  • Matplotlib
  • Python
  • PyTorch
  • R
  • R Shiny
  • Swift
  • TensorFlow

Artificial Intelligence Researcher

Argonne National Laboratory NA

Contributed to the development of Aurora generative AI, a scientific research-focused GPT model. Collaborated with Intel on a $500M federally funded project for a multi-year, international AI research initiative. Trained generative AI neural networks on quantum computing literature using Python.

Skills:
  • .NET
  • C++
  • GNU Octave
  • Matlab
  • Matplotlib
  • Python
  • PyTorch
  • R
  • R Shiny
  • Swift
  • TensorFlow

Computer Science Researcher

Princeton University NA

Conducted a computation usage study by interviewing 300+ renowned researchers to assess computational research practices. Synthesized datasets for the identification of optimal computational tools. Presented a 12-page IEEE publication at the SC24 international conference.

Skills:
  • .NET
  • C++
  • GNU Octave
  • Matlab
  • Matplotlib
  • Python
  • PyTorch
  • R
  • R Shiny
  • Swift
  • TensorFlow

Equal Employment Opportunity

  • LGBTQ: NA
  • Ethnicity: NA
  • Disability: NA
  • Veteran: NA
  • First-generation College Student: NA
  • Pell Grant Eligibility: NA
  • Work Authorization: NA
  • Visa Sponsorship: NA

Personal Information

  • Experience Time

    NA

  • Gender

    Select Gender

  • Age

  • Currently pursuing

    Certificate

  • Languages

    NA

Skills

NA

Career Interest

Open to Different Industries

No

Location Type:

NA

Location:

NA

Employment Type:

NA

Industry:
NA

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