Akash Sindhu

Machine Learning Engineer at PDF Solutions
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Contact Information
us****@****om
(386) 825-5501
Location
Burnaby, British Columbia, Canada, CA

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Credentials

  • How Google does Machine Learning
    Coursera
    Jan, 2020
    - Nov, 2024
  • What is Data Science?
    IBM
    Sep, 2019
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Aug, 2019
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 300 - 400 Employee
    • Machine Learning Engineer
      • Jul 2023 - Present

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Feb 2022 - Jun 2023

      • Developed Quality Control and Anomaly Detection algorithms for coating inconsistencies in lithium-ion batteries data at microstructure level. • Built and deployed models for finding region of interests (ROI), object detection, fault classification, and image and shape similarity from scarcely labeled image data. Leveraged clustering for image labeling, refined via Labelbox, and trained U-Net, Mask R-CNN, R-FCN, and SSD models. • Developed a real-time image acquisition and processing application utilizing Python, Vimba SDK, and Allied Vision cameras in an electrode imaging system, effectively enhancing the throughput of the electrode imaging process. • Architect a multi-process pipeline that included efficient data transfer through a queue-based system, image acquisition, generation of predictions using a U-net based machine learning model, and storage of results to local/BigQuery. • Created, deployed, and maintained ML model pipelines to train, test, deploy, and track artifacts to monitor models using Vertex AI pipelines (Kubeflow Pipelines). • Created a configuration to deploy whole vertex-ai pipelines in just one command. • Performed code reviews and produced clean and production-read code. Show less

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Jun 2021 - May 2022

    • Canada
    • Financial Services
    • 700 & Above Employee
    • Data Science Intern
      • May 2021 - Aug 2021

      • Performed complex data analysis on SQL databases containing over 1000 tables each, to evaluate the effectiveness of card promotions in attracting new customers. • Utilized advanced SQL queries to extract, manipulate, and integrate data across multiple tables for statistical analyses, including T-test, P-test, and Z-test. • Leveraged Power BI for data transformation and reporting, providing clear and concise insights into card promotion strategies and customer acquisition. • Developed an innovative solution for mapping entity relationships within Power BI, significantly improving understanding of data connections across thousands of database tables. • Prepare, review, revise, and maintain technical documents including documentation, and product manuals, and hold info sessions. Show less

    • United States
    • Internet Marketplace Platforms
    • 300 - 400 Employee
    • Machine Learning Intern
      • Sep 2019 - Dec 2019

      • Developed a text classification model using the pre-trained model and transfer learning to classify types of service requests and further classify them to a specific class. • Increased accuracy from 30% to 70% by doing hyperparameter tuning, optimization, and feature extraction. • Successfully deployed custom model on Google Cloud AI Platform and able to generate predictions on new data. • Increased efficiency by 3 times and drastically decreased the processing time of incoming requests which helped the company in processing more requests in much less time. Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Intern
      • Sep 2019 - Oct 2019

      • Developed a bag of words model using NLP to extract keywords. • Used spaCy to extract name entities that will be used for keyword extraction. • Developed a bag of words model using NLP to extract keywords. • Used spaCy to extract name entities that will be used for keyword extraction.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Feb 2019 - May 2019

      • Made assignments, graded them, hold weekly sessions, and clear the doubts of students. • Content included but was not limited to: Python syntax, data structures, trees, priority queues, graphs, searching algorithms, shortest distance algorithms, and dynamic programming. • Made assignments, graded them, hold weekly sessions, and clear the doubts of students. • Content included but was not limited to: Python syntax, data structures, trees, priority queues, graphs, searching algorithms, shortest distance algorithms, and dynamic programming.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Office Assistant
      • Aug 2017 - Dec 2017

      • Provide and promote quality customer service for all residents and guests.• Perform general office work (e.g. responding to student inquiries, answering phones, typing, filing, making posters/flyers, and various other office tasks). • Responsible for customer service, administrative functions, and resource management including maintaining facilities, passive programming, and monitoring the community space as well as other duties as assigned.

    • Engineering Ambassador Program
      • Aug 2016 - Aug 2017

      • Went to the middle and high schools to inspire and motivate students to take STEM majors and help students with their problems regarding STEM majors.

Education

  • Simon Fraser University
    Professional Master of Computer Science, Specialization in Big Data
    2020 - 2021
  • San Jose State University
    Bachelor’s Degree, Computer Engineering
    2016 - 2020

Community

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