Hello!

I'm Nadeem Mohammed Shajahan, a cognitive developer, deep learning researcher & robotics enthusiast.

Get in touch hello@nadeeem.com

Background

I'm currently an Undergrad at TKM College of Engineering. I was a Deep Learning Intern at Neuroplex last summer and I am a Millennium Fellow and Campus Director for my cohort, which is the only cohort selected from India and one among the three cohorts in Asia.

As a robotics enthusiast, I'm constantly trying to develop something that is going to benefit the humanity. My specialization is MAVs(Micro Aerial Vehicles) and my current intention is to develop a swarm architechture which is agile and aggressive than the already existing swarming techniques.

When I'm not in front of a computer screen, I'm probably travelling, riding or crossing off another item on my bucket list.

Skills
Languages
  • Python
  • JavaScript
  • C++
  • MATLAB
  • C#
  • SQL
  • Assembly
  • HTML
  • CSS
Frameworks
  • Keras
  • Tensorflow
  • Cython
  • Scikit-Learn
  • cuDNN
  • CNTK
  • OpenCV
  • Node.js
Tools
  • ROS
  • Git &Github
  • Visual Studio
  • Gazebo
  • LaTeX
  • Adobe Creative Suite
Cloud
  • Azure
  • AWS
  • Intel DevCloud
  • Google Cloud
  • Salesforce
  • IBM Cloud
Experience
Aug 2018 - Present
United Nations Millennium Fellow and Campus Director
Jun 2018 - Aug 2018
Deep Learning Intern
Jun 2018 - Present
Vice Chairman
Sept 2017 - Present
Student Partner
Technical Lead
Aug 2017 - May 2018
Machine Learning Engineer
Entrepreneurship Cell Coordinator
Aug 2018 - Present
Mentor
Student Representative
Jun 2017
Internship Trainee
View My Resume
Projects

A complex computer vision model based on darknet to analyze live footage of traffic surveillance cameras and identify traffics violations such as not wearing a helmet, not wearing seatbelt.

Python TensorFlow Keras YOLOv3 Darknet OpenCV Cython

Developed, trained and tested a deep reinforcement learning model to play Flappy Bird on its own.

Python TensorFlow Neural Network Reinforcement Learning Pygame OpenCV CNN

Trained and tested a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images.

Python TensorFlow Neural Network Keras cuDNN OpenCV Numpy

Modified and trained an existing model of YOLOv3 model bound on Keras to do custom object detection for use in aerial surveillance drones.

Python TensorFlow Neural Network Keras cuDNN OpenCV YOLOv3

Tink is a chatbot developed on Azure platform for a treasure hunt conducted by IEEE SB powered by Azure Cognitive Text API.

Azure Cognitive API Chatbot C#

Used a DCGAN (Deep Convolutional Generative Adversarial Networks) on the CelebA dataset to generate images of novel and realistic human faces.

Python Tensorflow DCGAN GAN

Simple image classifier using Tensorflow with CIFAR-10 dataset.

Python TensorFlow Neural Network OpenCV