Nilay Aishwarya

Software Engineer at Deeploy
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Contact Information
Location
Netherlands, NL
Languages
  • English Full professional proficiency
  • Hindi Native or bilingual proficiency
  • French Elementary proficiency

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Credentials

  • edX Verified Certificate for Data Analysis: Statistical Modeling and Computation in Applications
    edX
    Apr, 2023
    - Sep, 2024
  • Apache Spark with Scala - Hands On with Big Data!
    Udemy
    May, 2021
    - Sep, 2024
  • Learning C#
    LinkedIn
    Aug, 2019
    - Sep, 2024
  • SEO Foundation
    LinkedIn
    Jun, 2019
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    May, 2019
    - Sep, 2024
  • Sequence Models
    deeplearning.ai
    May, 2019
    - Sep, 2024
  • Convolutional Neural Networks
    deeplearning.ai
    Apr, 2019
    - Sep, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Coursera
    Apr, 2019
    - Sep, 2024
  • Structuring Machine Learning Projects
    deeplearning.ai
    Mar, 2019
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    deeplearning.ai
    Feb, 2019
    - Sep, 2024
  • Neural Networks and Deep Learning
    deeplearning.ai
    Jan, 2019
    - Sep, 2024
  • Financial Markets (with Honors)
    Coursera
    Aug, 2018
    - Sep, 2024

Experience

    • Portugal
    • Staffing and Recruiting
    • 1 - 100 Employee
    • Software Engineer
      • Aug 2022 - Present

      I work as a backend, machine learning and infrastructure engineer with a commitment to our moto of Making ML deployments manageable, accountable and explainable.My work includes the following:- Developing infrastructure as code for SAAS.- Adding features to, and removing bugs from backend microservices.- Researching and implementing machine learning algorithms and explainers.- Extending supported machine learning operation features for our platform that can improve users' Responsible MLOps experience.- Improving stability and performance for machine learning deployments Show less

    • Machine Learning Software Intern
      • Aug 2022 - Dec 2022

      Developing interactive conversational explainers for machine learning models in production for reducing black boxing of ML models and bringing explainability through human-like conversation with ML models.The internship involved:-- Validating MVP ideas with industry experts in top banking and fintech companies through interviews.- Developing end-to-end MVP interactive conversational explainer that is generic to a subset of models.- Providing specific explanations combining different standard explainers- Capturing user statistics in chat sessions and visualizing them to aid machine learning developers in improving their models.- Expand upon existing supported explainers at Deeploy.Milestones achieved:-- Finished end-to-end MVP before time.- Parts of the project is integrated into primary product (in production).- My project was part of (a subset of) Deeploy's proposal for the renowned Eurostar Grant. Show less

    • Business Consulting and Services
    • 700 & Above Employee
    • Analyst [Software Developer]
      • Jun 2019 - Jul 2021

      I worked as a full-stack developer helping clients from across the Government and Private sectors solve their Tax Issues through the development of enterprise-grade in-house software solutions. My work included:- - Adding and improving features to existing MVC applications. - Managing and adding to the database-first architecture. Milestones:- - Best performer amongst New Freshers in the internal assessment - Led a small team to develop TAX Assistant AI, Showcased at Deloitte National Leadership Conference. Show less

    • India
    • Higher Education
    • 100 - 200 Employee
    • Trainee
      • Dec 2017 - Dec 2017

      My work at IIT (BHU), Varanasi (December 2017) as a Winter Research Intern includes : -Studying about Observers to reduce the no. of sensors required for Control, The Luenberger Observer. -Observer-based Controller Design and its simulation on MATLAB and Simulink. My work at IIT (BHU), Varanasi (December 2017) as a Winter Research Intern includes : -Studying about Observers to reduce the no. of sensors required for Control, The Luenberger Observer. -Observer-based Controller Design and its simulation on MATLAB and Simulink.

    • Higher Education
    • 400 - 500 Employee
    • Marketing Intern
      • Jul 2017 - Aug 2017

      During, the internship I went through many Harvard Case Studies and tried to figure out the factors defining customer behaviour. Created my own android app marketing idea. During, the internship I went through many Harvard Case Studies and tried to figure out the factors defining customer behaviour. Created my own android app marketing idea.

Education

  • Technische Universiteit Delft
    Masters, Embedded Systems
    2021 - 2023
  • Massachusetts Institute of Technology
    MicroMasters, Statistics and Data Science
    2021 - 2023
  • Birla Institute of Technology, Mesra
    Bachelor's degree, Electronics and Communication
    2015 - 2019
  • Delhi Public School Varanasi
    12th: 94.2% 10th: 10 GPA

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