Lakhan Kadam

Lakhan Kadam

Master's Student

University of Waterloo

About me

I am a Masters student at the University of Waterloo pursuing Masters with specialization in AI & ML.

I was a Machine Learning Intern at Quickplay as well as Machine Learning Associate at Vector Institute.

I was a Software Development Engineer at Xperi Corporation (Rovi AS&R team).

After completing my pre-final year in Bachelors in Computer Science at Lovely Professional University in July 2017, I moved to Bengaluru, Karnataka, where I interned on mobile application and software development.

Following that, I worked as a Software Engineer at TiVo and Xperi, where I created consumer-facing software in sectors such as media/entertainment, set-top boxes, search and recommendation.

I and my team delivered end-to-end systems to our customers, ranging from search, recommendation, data production and enrichment to multiple customers.

Aside from work, I love amateur astronomy, travelling, hiking, and going on safaris.

Interests

  • Natural Language Processing
  • Machine Learning
  • Artificial Intelligence
  • Computer Vision
  • Forecasting
  • Backend Development

Education

  • Masters in Electrical & Computer Engineering 2022 - 2023

    University of Waterloo - Ontario, Canada

  • Bachelor of Technology in Computer Science & Engineering, 2014 - 2018

    Lovely Professional University - Punjab, India

Experience

 
 
 
 
 

Machine Learning Associate

Vector Institute & Quickplay

Dec 2022 – May 2023 Toronto, ON, Canada
  • Technology Stack: Python, PyTorch, TensorFlow, Google Cloud, BigData
  • Formulized Quality of Experience (QoE) accurately using different attributes.
  • Analysed various methodologies and techniques to calculate and forecast QoE.
  • Exploratory Data Analysis of streaming data to create Forecasting model (QoE).
  • Developed Machine Learning models to predict QoE for next 30 minutes.
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    Software Development Engineer

    Xperi Corporation

    Nov 2019 – Aug 2022 Bengaluru, KA, India
  • Technology stack: Python, NLP, AWS, Docker, Redis, C, CI/CD
  • Developed core algorithms for Advanced Search & Recommendation.
  • Implemented new features for conversation product
  • Developed and integrated data publish pipelines for multiple customers.
  • Data generation and data merge optimization.
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    Software Development Engineer

    TiVo Corporation

    July 2018 – Nov 2019 Bengaluru, KA, India
  • Technology stack: Python, JAVA, C++, Haxe, Javascript, MySQL
  • TiVo app development on Android, iOS, Web, and Linux STBs.
  • Improved translation and delivered to different customers across major languages.
  • HDMI CEC feature Development for TiVo STB.
  • SCTE-27 feature development for TiVo STB.
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    Software Development Engineer Intern

    VenturePact LLC (Web Development)

    Jun 2017 – Jul 2017 Punjab, India
  • Technology Stack: Javascript, MongoDB, Express JS, Angular, Node JS
  • Developed placement portal for students
  • Optimized website performance and regression testing for placement portal.

    • Patents and Publications

     
     
     
     
     

    SYSTEMS AND METHODS FOR IMPROVING CONTENT RECOMMENDATIONS USING A TRAINED MODEL (US11551086B2)

    Granted (10/1/2023)
    [ Link ] [ Patent ]
     
     
     
     
     

    • SYSTEMS AND METHODS FOR IMPROVING COMPREHENSION IN TRANSLATION BASED ON CONTEXT-BASED REFERENCES (US20220100970A1)

    Sept 2020 – Pending
    [ Link ] [ Draft ]
     
     
     
     
     

    SYSTEMS AND METHODS FOR CONVERTING AN INPUT CONTENT ITEM BASED ON CONTEXTS (US20220171939A1)

    Dec 2020 – Pending
    [ Link ] [ Draft ]

    Projects

     
     
     
     
     

    Semantic segmentation of Field Anomalies

    Feb 2023 – Apr 2023
  • Deeplab, ResNet, PyTorch
  • Detecting 9 different field anomalies from field dataset using semantic segmentation.

    • [ GitHub ]

     
     
     
     
     

    Finding exoplanets using Microlensing

    Jan 2023 – Mar 2023
  • Keras, Tensorflow, CNN
  • Detecting exoplanets in each image set using principles of Microlensing and CNN.

    • [ GitHub ]

     
     
     
     
     

    Sentiment Analysis & Feedback

    May 2022 – Aug 2022
  • Tensorflow, Scikit-Learn, Sklearn, VaderSentiment
  • Recommending content and ranking search based on user sentiment in multiple languages.
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    Child Detection using Voice

    Oct 2021 – Dec 2021
  • Keras, Tensorflow, Scikit-Learn
  • Detecting child using voice in multiple languages to filter search and recommendation.
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    Seller Management App

    Nov 2020 – Dec 2020
  • Angular, MongoDB, Nodejs
  • Managing and recommending shopkeepers about product.

    • [ Github ]

     
     
     
     
     

    TiVo Coins

    Oct 2019 – Nov 2019
  • Haxe, C++, Java
  • Creating system to earn and redeem coins for premium VOD content.

    • Contact