Jazir Shahul Hameed

Oklahoma City, USA · (405) 429-9980 · jazirsha@gmail.com

I am an AI, ML & DS enthusiast. I hold a masters in engineering, specializing in communication systems. Now I am doing my research on channel estimation of 5G massive MIMO systems using machine learning. I have worked on a variety of data projects, which include data analysis, visualization, and implementing machine learning pipelines. I have 8+ years of work experience in design and developement of protocol stack software for TETRA, DMR systems.

Skills

Programming Languages & Tools
Extra skills / knowledge
  • C, Matlab, SDL, Octave, SQL
  • Data Analysis
  • Web scraping
  • APIs and web development, Flask, MongoDB
  • Image processing and computer vision
  • Machine learning and deep learning
  • App deployment on cloud
  • Python packages – scikit-learn, pandas, NumPy, seaborn, TensorFlow, Keras, OpenCV

Experience

Assistant Professor

ACE College of Engineering

Worked as Assistant Professor in the department of Electronics & Communication Engineering. Taught undergraduate subjects related to wireless communication. Research work: Developed a low complexity algorithm to estimate channel in 5G Massive MIMO Systems

Reference link.

June 2015 - Oct 2019

Firmware Consultant

Sigtech Wireless Technologies

Led a team of engineers for the development of protocol stack for the TETRA and DMR handheld radios. Designed and developed ARM – DSP inter-processor communication interface in OMAP L-138

Reference link.

Mar 2009 - Sep 2013

Senior Firmware Engineer

Software Radio Technology

Designed and developed Protocol stack (L2, L3 layers) for the Direct Mode Operation of TETRA Mobile.

Reference link.

May 2006 - Dec 2008

Junior Research Fellow

Center for Development of Advanced Computing

Research team member to develop protocol stack for TETRA mobile communication system.

Reference link.

Jan 2005 - May 2006

Education

Anna University, India

Master of Engineering | Communication Systems

Aug 2012 - June 2014

Coursera

Deep Learning Specialization
The 5 Courses in this Specialization are Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models. In the five courses, the focus areas are the foundations of Deep Learning, understand how to build neural networks, learn how to lead successful machine learning projects. The courses also outline the basis of Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. There are case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.

Reference link.

Aug 2020 - No Expiration Date

Udemy

Python for Data Science and Machine Learning Bootcamp
This course uses the power of Python to analyze data, create beautiful visualizations, and to develop efficient machine learning algorithms. The main libraries explored are Scikit-learn, NumPy, pandas, matplotlib, seaborn, NLTK etc

Reference link.

April 2020 - No Expiration Date

Community and social activity

ACE College of Engineering

Innovation & Entrepreneurship Development Cell (IEDC)
Served as the Nodal Officer of IEDC. The main objective of the initiative is to promote an innovation driven entrepreneurship culture among the students and therby equip them to develop commercially viable innovative products and solutions.
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June 2015 - Oct 2019

ACE College of Engineering

FabLab
A Fabrication Laboratory (FabLab) is a technical prototyping platform where people can design and build their own technology. They began as began as an outreach program from MIT Center for Bits and Atoms (CBA). Fab labs aim to provide stimulus for local entrepreneurship and serves as a platform for learning and innovation.
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June 2015 - Oct 2019

Projects

This section contains awesome projects that I've developed:

AQI Predicition

AQI Predicition

ML project to predict Air Quality Index

End to End machine learning project to predict Air Quality Index. Created flask application and deployed on AWS Elastic Beanstalk.

Machine Learning Python Data Analysis scikit-learn pandas NumPy Flask HTML CSS AWS

View project
Pneumonia Detection

Pneumonia Detection

DL project to detect Pneumonia from chest X-rays

Deep Learning model using Transfer Learning technique to classify chest x-ray images in order to identify whether the patient has Pneumonia or not. Created flask application and deployed on AWS Elastic Beanstalk.

Deep Learning Python Keras TensorFlow Flask HTML CSS Bootstrap AWS

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New York City Taxi Fare Prediction

New York City Taxi Fare Prediction

Taxi fare predictions with deep learning and TensorFlow

Deep Learning model to predict the fare amount for a taxi ride in New York City given the pickup and dropoff locations.

Deep Learning Python Keras TensorFlow

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Face Recognition

Face Recognition

Detect and recognize faces using python and OpenCV

Perform Facial recognition with high accuracy using the face recognition package for Python

Deep Learning Python OpenCV image processing

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Image Scraper

Image Scraper

Scrape images from google using Selenium

Web scraper that collects the images for a search keyword from the internet.

Python Selenium HTML

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YouTube Skip Ad

YouTube Skip Ad

Automate the process of clicking Skip Ad of YouTube

A Python based GUI to automatically click the Skip Ad button of YouTube. In this project, OpenCV and PySimpleGUI are used.

PySimpleGUI Python OpenCV image processing

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This Flask template was built with by Rodolfo Ferro, under a MIT License.