Rishab Gulati

Machine Learning Engineer at BioTrillion
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Contact Information
us****@****om
(386) 825-5501
Location
San Diego, California, United States, US
Languages
  • English -
  • Hindi -
  • Punjabi -

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Oct 2022 - Present

    • United States
    • Research Services
    • 300 - 400 Employee
    • Data Scientist
      • Jul 2019 - Sep 2022

      • Single Cell RNA-Seq Analysis of Peripheral Blood Mononuclear Cells (PBMCs) - Helped understand the interaction between HIV, CVD, and cholesterol lowering drugs (Statin) in terms of their genetic signature - Solved the problem of visualizing the cells by projecting them onto a 2-D space using UMAP dimensionality reduction on their 525 dimensional transcriptomes - Found 7 major cell types present in the data using Louvain Clustering algorithm - Created a pipeline for data preprocessing, dimensionality reduction, clustering and specific bioinformatics analysis using the Scanpy library in Python and Seurat in R. - Generated effective visualizations and plots to demonstrate the inflammatory effects of CVD on the gene signature of patients with HIV and its curability using Statin treatment • Other Projects - Currently working on building a similar pipeline for 3 other projects with different types of cells. • Major Technologies Used: Python, Scanpy, Pandas, Matplotlib, Seaborn, R, Seurat Show less

    • United States
    • Telecommunications
    • 200 - 300 Employee
    • Software Engineer
      • Nov 2018 - Jun 2019

      • Semantic Segmentation - Designed, implemented, and trained a model for Semantic Segmentation of indoor dataset using Transfer Learning in Tensorflow - Improved the accuracy of the existing model by about 2% and the speed by about 5% - Experimented with a wide variety of architectures to find the one that fits our problem the best. - Created a dataset for the project by combining data from multiple sources and standardizing the class labels as well as the semantic labeling - Performed an analysis to categorize entities into either distinct class objects or as background • Video Stabilization - Implemented a basic framework for Offline Video Stabilization using OpenCV in Python • Major Technologies Used: Python, Tensorflow, OpenCV Show less

    • Researcher
      • Jul 2018 - Nov 2018

      • Motion Retargeting - Built a v1 model to transfer the movements of a character in a video, given by query, to another predefined character - Experimented with multiple approaches to find the best fit for our problem including Variable Markov Oracle (VMO), Autoencoder, Deep Siamese Network and CycleGAN - Evaluated the performance of VMO corresponding to its input video by feeding in raw video, output of the PCA and output of PoseNets. • Major Technologies Used: Python, PyTorch, Tensorflow Show less

    • Intern
      • Jan 2016 - Apr 2016

      Worked on 3D Terrain Rendering in Geographic Information System (GIS). Worked on 3D Terrain Rendering in Geographic Information System (GIS).

    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Intern
      • Jun 2015 - Jul 2015

      - Worked with Time Warner Group. - Built a website for PUMA product of HBO using HTML5, CSS, Twitter Bootstrap, JavaScript and other techniques. - Worked with Time Warner Group. - Built a website for PUMA product of HBO using HTML5, CSS, Twitter Bootstrap, JavaScript and other techniques.

Education

  • University of California, San Diego
    Master's degree, Computer Science
    2016 - 2018
  • Vellore Institute of Technology
    Bachelor of Technology (B.Tech.), Computer Science
    2011 - 2016
  • Navy Children School, Mumbai
    2008 - 2012

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