Farid Ullah

Senior Machine Learning Engineer at ToktoAI
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Location
Islamabad, Islāmābād, Pakistan, PK

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Credentials

  • Fine Tune BERT for Text Classification with TensorFlow
    Coursera
    Feb, 2023
    - Sep, 2024
  • Advanced Deployment Scenarios with TensorFlow
    DeepLearning.AI
    Dec, 2022
    - Sep, 2024
  • AI
    PIAIC
    Dec, 2021
    - Sep, 2024
  • Natural Language Processing with Attention Models
    Deep learning coursera
    Feb, 2021
    - Sep, 2024
  • Natural Language Processing with Sequence Models
    DeepLearning.AI
    Feb, 2021
    - Sep, 2024
  • MTA: Introduction to Programming Using Python - Certified 2020
    Microsoft
    Mar, 2020
    - Sep, 2024
  • AI for Everyone
    deeplearning.ai
    Oct, 2019
    - Sep, 2024

Experience

    • Pakistan
    • IT System Design Services
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Jan 2020 - Present

      Working Area: - Developing Chatbots Application. - Created API's in Flask, Fast and Django. - Django Base Web Application connected with MongoDB. - Worked on remote testing of API on the remote server by using Ngrok and postman. - Deployment of web Applications on the different specs of AWS EC2 instances. - Worked on Gunicorn + Nginx Server and automated restart with system config. - Created Docker images of web base Applications and Deployed them on AWS. - Tested response time by using the ONNX model vs .pt ( Models) on AWS instances. - Trained Different models like LSTM, RNN, BILSTM, Transformers, USE, DistilBert, and SentBert. The last two models are used as embedding layers in TensorFlow Deep learning model Architecture and other models like Random Forest, Xgboost, LightGBM, SVM, Logistic Regression, single Linear and multi Linear regression used in different piplines . - Worked on environment setup for running DeepStream python application on local PC and also setup enviroment for TAO tool kit for training and finetuning yolov4 model for computer vision analytics project named ( Safety Measurement of Construction site) the model build for this project integrated in DeepStream python Application and deployed on Jetson AGX axavier. the goal of this project is to monitor real time saftey measurements like detecting helmet and without helmet persons and also to montor balcony is placed or not placed, the application also log real time metadata to csv file and also show on montoring screen that the construction site is Safe or Unsafe based on specific conditons. - Used linux based OS for development that is Ubuntu. - Used Openai models. Show less

    • Pakistan
    • E-Learning Providers
    • 1 - 100 Employee
    • Learned Materials Related to Data Scientist / Data Analyst
      • Dec 2019 - Dec 2021

      Completed All road maps and achieved AI certificate From PIAIC - Python from basic to advance ( Used different platforms ) - Deep Learning with Python ( book ) - Hands-on Practice with Data Analysis with Python ( book ). - Learn Amazon Sage Maker ( book ) - Docker basic ( book ) - Linux Basic Command ( book ) - Git ( version control ) - Hands-on Practice with Tensorflow and computer vision ( book ) Completed All road maps and achieved AI certificate From PIAIC - Python from basic to advance ( Used different platforms ) - Deep Learning with Python ( book ) - Hands-on Practice with Data Analysis with Python ( book ). - Learn Amazon Sage Maker ( book ) - Docker basic ( book ) - Linux Basic Command ( book ) - Git ( version control ) - Hands-on Practice with Tensorflow and computer vision ( book )

    • Machine Learning Enginee
      • Feb 2018 - Dec 2019

      Resume Ranker This was design for helping Recruiter Agency finding their best person for short list. we used different NLP models for resumes that we had trained on custom dataset for a downstream task. This project consist of hybrid models approach . Worked within team and achecieve many milestones and faced alot of challanges . Resume Ranker This was design for helping Recruiter Agency finding their best person for short list. we used different NLP models for resumes that we had trained on custom dataset for a downstream task. This project consist of hybrid models approach . Worked within team and achecieve many milestones and faced alot of challanges .

Education

  • PIAIC
    AI, Artificial Intelligence
    2019 - 2021
  • Riphah International University
    MS IS, Information Security & Data Scence (Core subjects )
    2019 - 2021
  • University of Azad Jammu and Kashmir
    BS Software Engineering, Computer Science
    2013 - 2017
  • Oxford public school
    1999 - 2017

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