Rishabh Choudhary - Portfolio

About

Hello! I am Rishabh Choudhary, an avid Programmer, Computer vision, Machine learning and Robotics enthusiast.

I recently graduated from University of Maryland, College Park in Masters of Engineering (Robotics) with specialization in Computer Vision/Machine learning. Priort to that, I graduated from BITS Pilani with a bachelors degree in Electronics Engineering and later worked at Cisco systems, Bangalore as a Software Developer for two years.

In the past few years I have worked on numerous projects in computer vision, machine learning, network security and software development using agile methods. My favorite languages to work in are C++ and Python. My goal is to be able to innovate and develop technological solutions for industry which can help the consumers and make a bigger impact to the society. Head over to the projects section to see some of my recent projects!

I am currently seeking full time opportunities in the field of computer vision, machine learning and software development.

Basic Information

Email:

rishabh.buzz@gmail.com

Phone:

+1-202-469-1139

Address:

3427, Tulane Dr, Hyattsville, MD, USA - 20783

Language:

English, Hindi

Professional Skills

C/C++11/14

Python

TensorFlow/Keras/Pytorch

Unity/Unreal

HTML/CSS

ROS

Linux

Agile/Scrum

JAVA/JAVASCRIPT

REACT/NODEJS

AWS/GOOGLE CLOUD

MongoDB

Projects & Achievements

xPLORER

Exploration robot simulation using ROS,C++ and Octomap

Customer churn prediction

Prediction of customer churn for a bank using artificial neural networks.

Lane detector

Traffic lane detection and tracking using OpenCV and C++

Visual Odometry

Structure from motion for a given driving sequence mounted on a car camera.

Neural Style Transfer

VGG-19 CNN implementation for Neural Style Transfer to generate artistic images

Traffic sign Recognition

Traffic Sign detection and tracking using computer vision algorithms and SVM.

NVIDIA Deepstream

Classification and detection application using NVIDIA deepstream SDK.

Collision avoidance Turtlebot

Implementation of A* algorithm on a differential drive robot using ROS/GAZEBO.

Path planning

Path planning of a point/rigid robot in 2D space with obstacles using Astar and Dijkstra algorithms

8-puzzle solver

GUI based 8-puzzle solver implementation using Python/MATLAB

AR Tag Detection

Detection and tracking of fiducial markers and real time 3D object placement.

My Blog

A full-stack blogging website using React, Node.js, MongoDB hosted on AWS EC2 server.

Pick and Place Robot

Pick and Place Simulation of Baxter in V-Rep environment using Inverse Kinematics.

Image recognition

Object detection and tracking for autonomous driving using Single shot detector (YOLO)

Emotion Detection App

Anrdroid application to detect face emotion using deep learning.

Runner-up | Cisco Hackathon 2018

Adaptive authentication for login-based users using machine learning.

Best Marketing skills award

Awarded best team for marketing and communication skills award at Cisco NCH Presentation .

Dweebs & Dogs

Official Mentor for Non-Profit Organization helping people in field of mental health, Sprituality, career development and technology.

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Work Experience

July 2020 - Present

Reconstruct Inc, Champaign, Illinois

Computer Vision Engineer

Member of R&D team managing Structure from Motion pipeline for 3D reconstruction from 2D images of customerproject sites, deploying new features and resolving customer issues.
Benchmarked Reconstruct?s performance with other state of the art SfM solutions like OpenSfM and COLMAP and analyzed areas of improvement in SfM code.
Optimized feature matching by implementing MAGSAC++ (Marginal Sample Consensus), a more robust and efficient algorithm over existingly used RANSAC (Ransom Sample Consensus) Technologies: C++/14/17, Python, OpenSfM.

September 2019 - May 2020

UMIACS, University of Maryland, College Park

Research Assistant

Created a deep learning based android application to incorporate emotion detection and recognition with video conferencing architecture for visually impaired people. Technologies: Java, Android SDK, TensorFlow lite.
Implemented a Unity pipeline to merge and animate human pose motion capture data inferred from a deep learning model. Technologies: C#, Unity.
Implemented highway trafﬁc solutions using CNNs on synthetic datasets generated by Microsoft AirSim/CARLA simulators. Technologies: C++, Python, Tensorflow/Keras.

June - August 2019

STURFEE,
Milpitas, CA

Computer Vision Intern

Implemented a pipeline to generate synthetic data for street view (RGB frames) and aerial view (LiDAR point cloud) using Microsoft AirSim/Blender in Unreal game engine. Technologies: C++, Python, Tensorflow

August 2016 - August 2018

Cisco Systems

Software Developer

Worked with network security team to handle authentication, authorization and accounting (AAA) for various products/services.
Triaged and resolved numerous customer escalated issues related to AAA team and licited requirements for new features with customers and stakeholders.
Implemented new features for adaptive authentication using machine learning, memory optimization, database externalization, system logs accounting and database externalization.
Led the effort for integrating automated unit testing framework into existing infrastructure across the organization.
Core technologies: C, C++, Python, Lua, RADIUS, TACACS, VPN, Docker, Kubernetes, Jenkins, Agile, Scrum.

January 2016 - June 2016

Cisco Systems

Software Developer Intern

Implemented Dual IP stack for Group Encrypted Transport VPN to support both IPV4/V6 addresses. Technologies: C, C++, IPv4/v6, GETVPN.

May 2015 - July 2015

Indraprastha Institute of Information Technology, New Delhi

Research Intern

Developed software infrastructure for mapping and 3D rendering of indoor environment using Microsoft Kinect.
Processed the generated point cloud and implemented plane segmentation.
Technologies: C++, PCL, Kinect SDK

Education

2018 - 2020

Master's Degree

Masters of Engineering (Robotics)

University of Maryland, College Park

Relevant Coursework: Visual learning and recognition, Natural Language Processing, Computer Vision, Path Planning algorithms, Deep learning framweorks, Design of Algorithms, Software development for Robotics, Machine learning
GPA: 3.9/4.0

2012 - 2016

Bachelor's Degree

Bachelor of Engineering (Electrical and Electronics)

Birla Institute of Technology and Science

Relavant Coursework: Data structures and Algorithms, Operating Systems, Machine learning, Artificial Intelligence, Data communication and networks, Digital signal processing, Image processing.

Contact Me

Feel free to contact me

Address

3427, Tulane Drive, Hyattsville - MD

Phone

+1-202-469-1139

Email

rishabh.buzz@gmail.com