Chandni Akbar

Chandni akbar

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location of Chandni AkbarHsinchu City, Taiwan, Taiwan
Phone number of Chandni Akbar+91 xxxx xxxxx
Followers of Chandni Akbar304 followers
  • Timeline

    Jun 2018 - Jan 2020

    Machine Learning Engineer

    Industrial Technology Research Institute (ITRI)(工業技術研究院, 工研院)
    Feb 2020 - Jul 2020

    Teacher Assistant

    National Yang Ming Chiao Tung University
    Mar 2022 - Oct 2022

    Postdoctoral Researcher

    National Yang Ming Chiao Tung University
    Current Company
    Feb 2023 - now

    Research Development Software Engineer

    VeriOpen
  • About me

    AI & Machine Learning Engineer | Data Scientist | Python | Developed and deployed ML algorithms to accelerate the performance of semiconductor devices and reduce the computational cost up to 50%.

  • Education

    • National yang ming chiao tung university

      -
      Doctor of philosophy - phd electrical engineering and computer science
  • Experience

    • Industrial technology research institute (itri)(工業技術研究院, 工研院)

      Jun 2018 - Jan 2020
      Machine learning engineer

      1. Implementation of deep learning algorithms using Tensorflow, Keras, Pytorch for the application of computer vision and natural language processing.2. Deep understanding of machine learning techniques and algorithms, such as regressions, k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Deep Learning, etc.3. Experience with common data science toolkits, such as R, NumPy, MatLab, etc.4. Data analysis ability and statistical ability.5. Visualizing/presenting data using Google Sheets, Tableau and Power BI. 收回

    • National yang ming chiao tung university

      Feb 2020 - Jul 2020
      Teacher assistant

      Implementation of Web APP and Mobile APP using React.js and React Native. MERN Shopping cart using react-redux, JWT authentications and react JS. Restful API for to-do list Web APP using JWT authentication.

    • National yang ming chiao tung university

      Mar 2022 - Oct 2022
      Postdoctoral researcher

      1. Experience in TensorFlow, Pytorch, Numpy, Pandas, Matplotlib2. Proficient in traditional machine learning algorithms and skills, including feature engineering, LightGBM, Xgboost, SVM, k-NN, Stacking etc.3. Proficient in deep learning algorithm, especially on transformer family, NN family (CNN, LSTM, RNN, ResNet, AlexNeT, VGG-16, U-Net, YOLO, Faster-RCNN, etc). Have a solid algorithmic foundation, including greedy, dynamic programming, DFS, graph related algorithm.

    • Veriopen

      Feb 2023 - now
      Research development software engineer

      1. Perform root cause analysis and critical thinking for enhancing the EDA (Galaxsim Turbo) simulation tool using Python.2. Design, develop, and implement software programs and algorithms to address complex challenges in intelligent manufacturing solutions.3. Excellent verbal and written communication skills demonstrated through effective collaboration with cross-functional teams and presented results to senior management and stakeholders.

  • Licenses & Certifications