Yuvraj Singla

Yuvraj Singla

San Francisco Bay Area
4K followers 500+ connections

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About

If you're a founder in the Agentic AI or Dev AI space, I offer mentorship and seed…

Experience

  • Google Graphic

    Google

    Mountain View, California

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    Massachusetts

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    Chandigarh Area, India

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    Hyderabad Area, India

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    Hyderabad, India

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Education

Volunteer Experience

  • Volunteer

    Pratigya

    - 2 years 8 months

    Education

    Pratigya is a society at Thapar University, Where college students teach under-privileged students after college hours.
    I was also honored as the convener of the society in 2013.

Courses

  • Algorithms for Data Science

    590D

  • Applied Information Retrieval

    590R

  • Computing for Data Analysis (Coursera - Johns Hopkins University)

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  • Distributed Operating Systems

    COMPSCI 677

  • Getting and Cleaning Data (Coursera - Johns Hopkins University)

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  • Machine Learning (Coursera - Stanford University)

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  • Neural Networks - Deep Learning

    682

  • Probabilistic Graphical Models

    COMPSCI 688

  • Social Network Analysis (Coursera - University of Michigan)

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  • The Data Scientist’s Toolbox (Coursera - Johns Hopkins University)

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  • Web Intelligence and Big Data (Coursera - IIT Delhi)

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Projects

  • UMLS entity recognition and linking for biomedical journals

    - Present

    ▪️ Performing entity recognition (identifying diseases and concepts) in biomedical journals and linking (normalizing) the found entities to it's type using Deep Learning and NLP techniques.
    ▪️ Our proposed Bi-LSTM model for exact entity match in the entity recognition (NER) led to a 3% gain in the F1 score compared to our baseline, TaggerOne model.
    ▪️ Future work includes building a deep learning model for entity linking and joint optimization of the two tasks.

  • SnapAndBuy

    Developed a C2C e-commerce marketplace based on reverse online shopping, which allows user to upload images for any required items so that other users can place an offer for the same.
    Technologies used: PHP, HTML, CSS, JQuery, MySQL

    Other creators

  • Subintent Discovery

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    Trained high quality machine learnt models for mining the hidden actions based on the user query and the entity within. Successfully shipped models for 30+ categories in 2014. Introduced temporal features into the algorithm which improved the overall precision from 91% to 93% with no loss in recall

  • Drug(Medicine) Classifier

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    This project involved training a classifier that would take in a query and classify queries as whether the intent is to find information regarding some drug/medicine or not. I was able to achieve a Precision of 92% and a Recall of 91% on the model that I trained.

  • Data Visualization Layer

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    This project required data (Queries and their related information) to be mined from the Bing repository and use of compelling visualization elements to generate useful insights from the data. This was particularly helpful in analyzing the query patterns, inter-dependence of various classifiers and in identifying important issues like potential false negatives, potential false positives, unidentified entities, ambiguous queries etc.

Honors & Awards

  • Microsoft //Oneweek Hackathon - India Winner

    Microsoft

    Among the top 5 winning teams of the Microsoft //Oneweek Hackathon Indian leg.
    Also received honorable mention in the Microsoft Bing! wide //Oneweek Hackathon (effectively in top 9 projects among 400+ projects).

  • ACM ICPC 2011,2012 Regional finalist

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    Qualified for regional finals of ACM ICPC 2012, Kharagpur
    Qualified for regional finals of ACM ICPC 2012, Kanpur
    Qualified for regional finals of ACM ICPC 2011, Kanpur

  • Others

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    - Received Merit Scholarship in the third academic year.
    - In Aranya 2011, (technical fest of Thapar University) my team got second place each in Reverse Gear, Crypt Raiders and Virtual Warriors competitions.
    - Stood first in a C debugging competition, “C-Combat” and Web development competition organized by Thapar Polytechnic College in 2009.

  • Runners up : Machine Learning Competition

    Microsoft STCI India

    My team finished second in a Machine Learning competition organised by Microsoft STCI team, India. For the competition, an extracted dataset was provided based on which predictions were to be made. We initially cleaned the data using R, did feature extraction and tried a number of different models using R and Weka Tool. Our final submission used an ensemble classifier which bagged us second position in the competition.

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