Muhammad H
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If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Deep Learning and Computer Vision Engineer Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 37h PST, 66h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 4.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since Apr 16, 2021
- Profile Last Updated Apr 25, 2021
- Last Activity Feb. 15, 2022, 3:27 a.m. UTC
- Location India
- Current Status Student
Profile Summary
Hi! I am Yusuf, an aspiring Machine Learning/Deep Learning Engineer, and Electrical Engineering student at IIT Gandhinagar.
Skills
Total Experience: 5 years
keras (4E, 5Y, 1C)
4 experiences, across 5 years, with 1 courseComputer vision (5E, 5Y, 2C)
5 experiences, across 5 years, with 2 coursesDeep learning (4E, 5Y, 2C)
4 experiences, across 5 years, with 2 coursesFlutter (5Y)
5 years of experienceJupyter (4E, 2Y)
4 experiences, across 2 yearsPython
Tensorflow
scikit-learn (1C)
1 courseMatplotlib (1C)
1 courseArtificial intelligence (2C)
2 coursesMachine learning (3C)
3 coursesMATLAB (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 37h PST, 66h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
04 - 18
10 - 18
10 - 18
10 - 18
10 - 18
10 - 19
04 - 19
PST
21 - 11
03 - 11
03 - 11
03 - 11
03 - 11
03 - 12
21 - 12
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Software Engineer
Passion Project
Nov 2020 - Present
IIT Gandhinagar Company
Technology Industry
Project: An App for Fire Load Survey
- 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.
Software Engineer
Passion Project
Mar 2021 - Mar 2021
Inter IIT Tech Meet 9.0 Company
Technology Industry
Project: Traffic Sign Recognition on GTSRB dataset
- 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.
Software Engineer
Passion Project
Dec 2020 - Dec 2020
Passion Project Company
Technology Industry
Project: Image Super Resolution using DCGAN
- 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.
Software Engineer
Passion Project
Dec 2020 - Dec 2020
Passion Project Company
Technology Industry
Project: Colorizing Grayscale Images
- 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.
Software Engineer
Passion Project
Aug 2020 - Aug 2020
Passion Project Company
Technology Industry
Project: Mask Detector
- 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.
Qualifications
Education
Indian Institute of Technology Gandhinagar
May 2019 - May 2023
B.Tech. (Electrical Engineering)
Courses