Robotics, Computer Vision, and Intelligent Systems

Amatya Katyayan

Robotics & AI Graduate Student | Software Engineer

I build intelligent systems across robotics, computer vision, machine learning, and production software.

M.S. Robotics and Autonomous Systems, AI Track @ Arizona State University

About

Building practical AI systems with strong engineering fundamentals

I am a Robotics and AI graduate student at Arizona State University with experience across software engineering, applied AI, robotics education, and research. My work spans computer vision, autonomous robotics, deep learning, React/Spring Boot platforms, and real-world technical training. I am currently focused on building reliable intelligent systems that connect AI models with practical robotics and software applications.

Education

M.S. in Robotics and Autonomous Systems

Artificial Intelligence Track

Arizona State University, Tempe, AZ

Expected May 2027

GPA: 4.22 / 4.00

Foundation

B.E. in Computer Engineering

Goa University, Goa, India

May 2022

86.48%

Featured Projects

Selected work in robotics, computer vision, and applied AI

Featured Computer Vision

Autonomous Tic-Tac-Toe Playing Robot

Built a system that detects human-drawn X/O symbols using OpenCV and contour-based vision modeling, then responds with AI-driven moves through the Dobot arm.

OpenCV Contour Modeling Game AI Dobot SDK
Featured Robotics

Object Detection and Classification using Dobot & YOLO

Created an automated pick-and-place robot using YOLOv5 for real-time object classification and robotic sorting through motion planning.

YOLOv5 Object Detection Motion Planning Robotic Sorting
Featured Autonomous Robotics

AI-Driven Maze Solving Robot

Developed an AI system that perceives maze structures via a top-mounted camera and guides the Dobot arm to trace the solution path using perception and control integration.

Perception Control Integration Path Tracing Robotics
Featured AI + IoT

Smart Agriculture System using AI and IoT

Designed an adaptive farm-assist tool that analyzes sensor data for personalized crop insights. Funded by Goa State Innovation Council and published in IEEE Xplore.

AI IoT Sensor Data Precision Agriculture

Project Brief

Autonomous Tic-Tac-Toe Playing Robot

Focused on human-robot interaction with vision-based symbol recognition and robotic actuation. The system interprets hand-drawn game states and translates AI-selected responses into physical arm movement.

Project Brief

Object Detection and Classification using Dobot & YOLO

Combined real-time visual detection with robot motion planning to automate object classification and sorting, bridging learned perception with a physical manipulation workflow.

Project Brief

AI-Driven Maze Solving Robot

Built around top-view scene understanding and coordinated control, this system converts observed maze geometry into a drawable solution path for robotic execution.

Project Brief

Smart Agriculture System using AI and IoT

This work combines data-driven crop support, applied AI, and field-oriented product thinking, and later evolved into a published research contribution in smart agriculture analytics.

Earlier Software Projects

Earlier application and software builds

AI Application

AI-Powered Sentiment Analyzer

Interactive sentiment analysis tool built to explore AI-assisted hiring workflows and text analysis.

AI Assistant

A.G.R.O. the AI powered Chatbot

Python chatbot for customer support and guidance using speech recognition, analysis, and synthesis.

Screenshot of the Mytinerary desktop application

Desktop App

Mytinerary

To-do desktop application with an interactive GUI secured by email and password authentication.

Screenshot of the Crappy Birds Java game

Java Game

Crappy Birds

Arcade-style Java game inspired by Flappy Birds with obstacle avoidance gameplay.

Screenshot of the War Zone C++ game

C++ Game

War Zone

Obstacle-avoidance game built with C++ and Turtle graphics in an endless arcade format.

Architecture graphic for an AWS chatbot project

AWS Prototype

Chatbot (AWS)

Built with Amazon Lex, SES, and Cognito for deployment across social platforms and mobile apps.

Interface of the Library Management System project

Full-Stack App

Library Management System

System with admin login, student signup, and end-to-end book CRUD workflows.

Alexa trivia skill screen for the J.A.R.V.I.S. project

Voice Experience

J.A.R.V.I.S. Trivia

Marvel-themed Alexa trivia experience designed as a voice-first interactive skill.

Skills

Technical strengths across intelligent systems and software delivery

Programming

Languages

Python C++ Java MATLAB JavaScript

AI / ML

Modeling and learning

TensorFlow PyTorch Scikit-learn Reinforcement Learning MDPs

Computer Vision

Visual perception

OpenCV YOLOv5 Object Detection Image Segmentation

Robotics

Applied robotics

ROS Dobot SDK pydobot pydobotplus Kinematics Motion Planning

Web & Backend

Production delivery

React Spring Boot REST APIs

Tools

Workflow and visualization

Git GitHub Matplotlib OpenCV Visualization Data Plotting

Experience

Industry and training experience grounded in practical delivery

Aug 2024 - May 2025 Education + Training

Technical Trainer, 6 Technical Training Regiment, Indian Army

  • Led technical training programs in AI, cybersecurity, and databases for Army personnel.
  • Designed hands-on learning modules integrating applied robotics and real-world scenarios.
  • Mentored trainees to improve operational readiness and technical confidence.
Aug 2022 - Jan 2024 Software Engineering

Software Developer, Persistent Systems

  • Designed and deployed enterprise-grade React and Spring Boot platforms, reducing manual reporting workload by 40%.
  • Built REST APIs for AI-based skill-job matching and hiring analytics.
  • Collaborated with cross-functional engineering and product teams to deliver production-grade, data-driven systems under tight timelines.

Research

Published work in AI for agriculture decision support

IEEE Xplore listing for the smart agriculture research publication

IEEE Xplore, 2022

Design of Smart Agriculture Systems using Artificial Intelligence and Big Data Analytics

Author: Amatya Katyayan

Research focused on AI and big data analytics for smart agriculture systems and crop decision support.

Achievements

Recognition, student leadership, and public-facing technical work

Competition

IEEE CSPL 2021 - First Place

Innovation

Texas Instruments India Innovation Contest - Quarter Finalist

Academic

College Topper, Goa University

Campus Role

Student Experience Assistant, ISSC, ASU

Supported international arrivals, airport reception, and onboarding.

Outreach

Campus Ambassador, TCS

Creator

Tech YouTube Channel Creator

Creator of the “Amatya Katyayan” tech YouTube channel.

Amatya Katyayan conducting a guest lecture on modern cyberattack techniques
Seminar session covering ChatGPT and applied use cases
Training session on the power of AI and the need for ethics in AI
Seminar on practical applications of drones
Session on recent advancements in artificial intelligence
Follow-up session on recent advancements in artificial intelligence
Workshop on generative AI tools
Hands-on generative AI workshop session
Seminar on deepfake technology, including its advantages and risks
Follow-up workshop image from the deepfake technology session

Guest Lecture on Modern Cyberattack Techniques

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Teaching and Workshops

Applied technical training

Hands-on seminars and workshops across AI, robotics, cybersecurity, and emerging technology topics.

View more highlights
Banner from the IEEE CSPL 2021 competition

Competitive Coding

Programming league and hackathon record

Competition history spanning IEEE CSPL, Tech Coders, Code Heist, and Newton School contests.

See coding highlights

Contact

Open to robotics, AI, and software engineering conversations

Best way to reach me

Use the contact form below or connect with me on LinkedIn for professional outreach.

What I share

Projects, research, and milestones

Project demos Research updates Workshop highlights Professional milestones

For the most current updates, LinkedIn is where I share ongoing work, milestones, and professional activity.

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