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Muhammad H - keras developer
Member since:Apr 16, 2021
Profile last updated:Apr 25, 2021
Last activity:Feb. 15, 2022, 3:27 a.m. UTC
Location:
India
Student

Muhammad H

Hi! I am Yusuf, an aspiring Machine Learning/Deep Learning Engineer, and Electrical Engineering student at IIT Gandhinagar.

Skills:    ·   ·   ·   ·    ·    ·    · 
Weekly Availability: 70 hours
Day UTC PST
Sun 04 - 18 21 - 11
Mon 10 - 18 03 - 11
Tues 10 - 18 03 - 11
Wed 10 - 18 03 - 11
Thurs 10 - 18 03 - 11
Fri 10 - 19 03 - 12
Sat 04 - 19 21 - 12

Hourly Rate: $20.00
Experience: 2+ yrs
keras: 2 yrs
Computer vision: 2 yrs
Deep learning: 2 yrs
Flutter: 2 yrs
Engineer's Devices:
Windows
Android

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:
0.4
 

Experiences
IIT Gandhinagar     An App for Fire Load Survey     Software Engineer     Passion Project
Nov 2020 - Present
Technology

  • A Deep Learning based Computer Vision app to calculate the Calorific value per volume present in a room.
  • Will be helpful in conducting Fire Safety Surveys in Civil Engineering applications for residential buildings.
  • Trained the object detection model (SSD MobileNet) in Keras.
  • Used Flutter to build the interface for the app.

Skills used: keras, Computer vision, Flutter, Deep learning


Inter IIT Tech Meet 9.0     Traffic Sign Recognition on GTSRB dataset     Software Engineer     Passion Project
Mar 2021 - Mar 2021
Technology

  • Trained State of The Art Computer Vision models on the German Traffic Sign Recognition Benchmark (GTSRB).
  • Used Tensorflow framework and Jupyter Notebooks to build and train the model, achieving an accuracy of 98.58%.
  • Deployed it using the Streamlit library in Python.
  • Interface allows user to extend the dataset by adding new classes and augmentations, then retrain the model, and evaluate on different metrics.

Skills used: Python, Computer vision, Tensorflow, Jupyter


Passion Project     Image Super Resolution using DCGAN     Software Engineer     Passion Project
Dec 2020 - Dec 2020
Technology

  • Implemented a Deep Learning based Computer Vision algorithm that can super-resolve an image from 32x32 to 128x128.
  • Used Keras framework and Jupyter Notebooks for building the model.
  • Methodology used was Adversarial training using DCGANs.

Skills used: keras, Computer vision, Deep learning, Jupyter



Link to the github:
Passion Project     Colorizing Grayscale Images     Software Engineer     Passion Project
Dec 2020 - Dec 2020
Technology

  • Implemented a Deep Learning based Computer Vision algorithm that can give a plausible colorization to grayscale images.
  • Used Keras framework and Jupyter Notebooks for building the model.
  • Implemented transfer learning on a pretrained ResNet50 model in an encoder-decoder architecture.

Skills used: keras, Computer vision, Deep learning, Jupyter



Link to the github:
Passion Project     Mask Detector     Software Engineer     Passion Project
Aug 2020 - Aug 2020
Technology

  • Implemented a Deep Learning based Computer Vision algorithm that can give detect if a person is wearing a mask or not.
  • Used Keras framework and Jupyter Notebooks for building the project.
  • Used OpenCV and implemented the detection and classification model using a CNN.

Skills used: keras, Computer vision, Deep learning, Jupyter



Link to the github:

Education
Indian Institute of Technology Gandhinagar    B.Tech.  (Electrical Engineering)
May 2019 - May 2023

Courses
Machine Learning    Coursera
May 2020 - May 2020
Skills learnt: scikit-learn, Matplotlib, Artificial intelligence, Machine learning, MATLAB
Neural Networks and Deep Learning    Coursera
Dec 2020 - Dec 2020
Skills learnt: Computer vision, Machine learning, Deep learning
Artificial Intelligence    Verzeo Edutech
Jun 2020 - Jul 2020
Skills learnt: keras, Artificial intelligence, Machine learning, Deep learning, Computer vision