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About Shayon

Personal information

Hi, I am Shayon Gupta

Graduate Student - MS in CS at University of Colorado Boulder, USA

I like working on products that have an impact in the real world. The current state of Machine Learning, Big Data and Software Engineering is more exciting than ever! Now is the time to make novel solutions that will change the way we lead our lives. I want to be a part of a team that changes lives and propels humanity towards an exciting future!

News

  • I have joined the University of Colorado Boulder in Fall 2017 as a Graduate Student. Here you see a photograph with Chip the University Mascot!

  • In Fall 2018 I have accepted a position as a Graduate Part Time Instructor to teach Data Structures to 200 undergraduate students.

  • I have been selected to be the Lead TA for the Department of CS, CU Boulder (2018-2019).

  • If you are looking for an enthusiastic Software/Machine Learning Engineer, lets get in touch.

Education

Masters in Computer Science

• Courses: Algorithms; ML; Big Data Architecture; Foundations of Software Engineering; NLP; Ethical Hacking; VR
• Planned Courses for the upcoming semesters: Neural Network and Deep Learning; Distributed Systems.
• Instructor for Data Structures (200 undergrad students) - Fall 2018
• Lead TA for the Department of CS (2018-2019)



School : University of Colorado Boulder

Year : 2017-19

Bachelors in Computer Science and Engineering

Selected Undergraduate Coursework: Algorithms; Data Structures; Artificial Intelligence; Database Management Systems; Object Oriented Programming; Compiler Design; Network Security; Operating System; Computer Networks; Discrete Mathematics; Computer Architecture.
• Senior Year Project: GoPark - Won Innovation Challenge, Kolkata (under ACM, IEEE and IET)
• Chair of ACM Student Chapter
• President of the Rotaract Club of MSIT
• Director of Cultural Activities

School : MAKAUT (formerly known as West Bengal University of Technology), India

Year : 2013-2017

Experience

Graduate Student Researcher at University of Colorado Boulder

• I am working with Dr. Orit Peleg to create a model of optimal navigation on varying surfaces by using reinforcement learning.
• The goal is to train an agent to reorient itself during the course of a random walk to simulate different agent behaviors in smooth and rough surfaces.
• The egocentric movement and the geocentric movement of the agent is being mapped with a reinforcement learning model.
• New parameters are being introduced to create a custom RL model that can emulate the behavior of the agent.
• Video Processing is being done by OpenCV. Tensorflow Backend is being used for the Reinforcement Learning model.
• The outcomes will be mapped to automatic vehicular navigation

Year : 2018 - Present

Data Structures - Instructor

• Teaching CSCI 2270: Data Structures(200 undergraduate students).
• I have 4 outstanding graduate TAs and 8 undergraduate CAs assisting me with this course.
• Encouraging analytical thinking among students is the primary goal.
• Students should be able to identify and implement the most efficient data structure(s) for a given problem after the completion of this course.

The Department of Computer Science at CU Boulder awarded me with the position of a Graduate Instructor because of the promise shown as a TA for the same course.

Year : 2018 - Present

Lead Graduate Teaching Assistant for the Department of Computer Science

• Selected by the Department of CS to be the Lead TA among more than 300 Graduate students.
• All 120+ TAs of Computer Science are managed by the Lead TA.
• Designed a new induction system to ensure efficient induction of TAS.
• Proposed systems and curriculum to ensure high morale and performance among TAs.

Year : 2018 - 2019

Machine Learning and Product Engineering Intern - CenturyLink

• Designed a framework to enable predictive analytics in the upcoming communicator application.
• The framework can predict usage patterns based on the collected data.
• Working in partnership with Google to develop the first AI based communication framework.
• Internship duration extended to reward demonstrated impact.

Year : May - Aug 2018

Projects

The links in this section are being heavily updated, all github repos and product videos will be available by 12th February.

Project 1

GoPark – Application to Triangulate Parking Location

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Project 2

UAV Obstacle Avoidance Using Q-Learning Techniques

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Project 3

TweetRank

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Project 4

Crowd Detection

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Project 5

Simulation of Random Walk

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Project 6

Graphy

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Project 7

Densely

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Fun Facts

100
These animations are not relevant...but they are pretty cool...unreasonable joys of life!
200
Every number doubles...now please stop reading.
400
You know it is pointless yet you are reading!
800
Since you read this far, here is a fun fact...the human mind does exactly what we ask it not to! The one thing we DO NOT want our AI Machines to follow!