P

Priyank Singh

About

Detail

Entrepreneur | Product | Debt Capital | FinTech
San Francisco, California, United States

Timeline

work
Job
school
Education
auto_stories
Publication

Résumé

Jobs verified_user 0% verified
  • JG Wentworth
    CTO
    JG Wentworth
    Dec 2022 - Nov 2023 (1 year)
  • O
    Co-Founder
    Onbo by Stilt Inc
    Sep 2021 - Dec 2022 (1 year 4 months)
  • Y Combinator
    W16 Batch
    Y Combinator
    Jan 2016 - Apr 2016 (4 months)
    Learned the true meaning of chasing north star, without eating, sleeping, and constantly obsessing about growth and product.
  • S
    Co-Founder
    Stilt Inc
    May 2015 - Dec 2022 (7 years 8 months)
    Build credit products without a bank sponsor onbo.com
  • ACOM
    Software Engineer - Search Suggestions
    ACOM
    Nov 2014 - Dec 2015 (1 year 2 months)
    Working on query suggestions and query ranking.
  • Microsoft
    Software Developer
    Microsoft
    Aug 2012 - Oct 2014 (2 years 3 months)
    I am having experience of applying machine learning in domains like text and images. I have developed large scale ML algorithms which works on map-reducer framework and distributed system with high latency requirement.

    In Microsoft, I was part of Image understanding team in Bing Search where I was working on applying machine learning techniques for solving problems like identifying duplicate images and finding semantically similar images in large scale database.

    In the past i have worked on local search where I have developed systems for doing text based classification, clustering and categorization.
  • Microsoft
    Software Developer Intern
    Microsoft
    May 2010 - Aug 2010 (4 months)
    In Microsoft my internship was divided into two main projects.

    First project was related to the Study and Improvement of Cache Mechanism for Reporting Database for AdCentre. For this responsibility I studied user pattern and behavior based on the timezone, report type, or content of the report.

    Second task was related to the development of the generic testing tool. In this project I used reflection and SOAP so that dynamically we can debug any input DLL.
  • Columbia University
    Student
    Columbia University
    Sep 2009 - Dec 2010 (1 year 4 months)
    In Columbia University I worked in the field of Computer Vision and Machine Learning. Here most of my research was related to image and video processing.

    I worked on variety of projects such as super resolution of low resolution frames, recognition problem.

    One of the project I have worked in Columbia University was leafSnap where I have worked on algorithm for matching leaf images.
  • Marvell Semiconductor
    Firmware Developer
    Marvell Semiconductor
    Jan 2008 - Jun 2009 (1 year 6 months)
    In Marvell I had opportunity to work on different chip solution such as 88w8388, 88w8682, 88w8686 firmware chip solutions

    I worked in the field of 802.11s mesh based protocol. Here my work was involved with the optimization of mesh algorithm which were part of the OLPC(one laptop per child project). After this I worked in the linux driver as well as thin firmware for routing optimization.

    This experience helped me to understand more about embedded systems, how to debug chip based solution and I learned about 802.11 a/b/g/s chip solutions.
  • J
    Student
    Jaypee Institute of Inormation Technology
    Jan 2003 - Dec 2007 (5 years)
Education verified_user 0% verified
  • Columbia University
    M.S, Computer Science
    Columbia University
    Jan 2009 - Dec 2010 (2 years)
  • Jaypee University of Information Technology
    B Tech, Computer Science and Engineering
    Jaypee University of Information Technology
    Jan 2003 - Dec 2007 (5 years)
Publications verified_user 0% verified
  • n
    Real Time Retrieval of Similar Videos in Large Databases
    nd National Conference on VLSI Embedded SystemSignal processing and communication technology
    Mar 2009
  • I
    Vehicle License Plate Identification and Recognition
    International Conference on Image Processing Computer Vision and Pattern Recognition
    Jan 2009
  • I
    Computer Vision Aided Pottery Classification and Reconstruction
    INDO US Science and Technology Forum on Digital Archaeology
    Jan 2005