Engineer Assistant

Abhishek Singh

Professional Experience

Expertise

Computer Vision

Research

Deep Learning

Machine Learning

Data Science

Python

AWS

OpenCV

Raspberry Pi

Pytorch, Tensorflow,Keras

Docker

JavaScript

Git

Linux

Skills & Tools

Relevant

Coursework

Machine Learning

Data Structure

Data Preparation &

Analysis

Applied Statistics

Mathematical Modeling

Introduction to Algorithms

Contact:- 773-***-****

Email:- *************@*****.***

LinkedIn:-linkedin.com/in/abhishek-

singh-1403a9147/

Github:-github.com/abhisingh977

One Hundred Feet

May 2020 - July 2020

Deep Learning Researcher Build and deployed a R-CNN model to detect interesting information from building using street view with confidence of 95%. Build pipeline for training and deploying models in production on GCP. Developed semantic segmentation model for extracting the driving area using satellite images.

Created polygon skeleton from the predicted mask.

Illinois Institute of Technology

Jan 2020 - Present

Graduate Research Assistant Created dateset of construction equipment and trained it on Vgg-16. Achieved map of 0.78 with small amount of training data. Real time detection of object on cctv camera.

Education

Aug 2019 - Aug 2021

Aug 2015 - May 2019

Master's of Artificial Intelligence

Illinois Institute of Technology

GPA: 3.7

B.Tech in Electronics & Communication

Krishna Institute Of Technology

Machine Learning Engineer

Projects

Spy bot Build a model for real time object detection and identification using YOLO v3 on raspberry pi 3 .

Python code for real time communication between raspberry pi3 and android for controlling robot and object detection .

Awarded as top 10 best project in North India by DRDO. Using OpenCV made of application for classifying different fruits of different size .

Integrated the application with line follower robot using embedded programming

E-Yantra

Developed model for predicting frequency of taxi passengers in Chicago every hour for taxi company.

Achieved MSRE of 0.89 using Gradient Boosting Regression. Taxi Oracle

Machine Learning Engineer

Method Data Science

Sept 2020

Building state of the art Image similarity application using deep learning. Working with Big Data on AWS and training images on multiple gpu. Deploying models using docker on aws for the application.

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