AI · Robotics · Prototyping

Yash
Mittal

Building intelligent systems that touch the real world, from prototype to production.

Based in

Sydney, AU

Studying

CS + AI at UNSW

Working at

AI Startup

Hobbies

Swimming, Ping Pong

UNSW Sydney

AI Engineer Intern

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About Me

Who I Am

I'm Yash Mittal, pursuing a Computer Science degree majoring in Artificial Intelligence at the University of New South Wales.

Currently working at an AI startup where I designed a cost optimiser to help a supply chain company save money. I love tackling interesting challenges and developing innovative solutions.

Outside of work, I enjoy swimming, playing table tennis, and I'm a proud tech enthusiast who's watched every WWDC keynote.

Tech Stack

Tools I Use

Language

Python

ML/AI

TensorFlow

Backend

FastAPI

Frontend

React.js

Language

TypeScript

ML/AI

Agentic AI

Infrastructure

MCP Servers

Skills

Data Analysis

Tools

Excel

Career

Experience

From teaching robotics to building AI systems. Hands-on roles that shaped my skills.

Anthrobyte.ai

Current

AI Engineer Intern

Dec 2025 – Present
Remote
  • Working on human-first AI transformation projects

Excel Academics Australia

Current

Academic Tutor

Nov 2025 – Present
Australia
  • Providing academic tutoring and mentorship
  • Helping students develop problem-solving skills
  • Creating personalized learning strategies

ROBO-G

Teaching Assistant / Intern

Apr 2019 – Jan 2020
India
  • Guided students ages 9–15 in robotics fundamentals
  • Built and programmed LEGO EV3 robots for tasks like line following and warehouse automation
  • Taught problem-solving approaches and multiple solution exploration

Featured Work

Projects

From LEGO EV3 prototypes to AI-first systems. Practical builds that solve real problems.

Shiftable Road Dividers
01

100+

Visitors

NIAS Presentation at IISc

Shiftable Road Dividers

Designed a prototype using LEGO EV3 and ultrasonic sensors to dynamically shift lane dividers based on traffic load. Presented at IISc Open House to 100+ visitors. Future vision includes GPS data and ML-driven predictions.

EV3 MindstormsSensorsML Vision+1
Warren Truss Bridge
02

25kg

Load capacity

Efficiency ratio 250

Warren Truss Bridge

Engineered popsicle stick bridges exploring beam, truss, and Warren truss designs. Applied Newton's laws and force distribution principles to achieve exceptional load-bearing capacity.

EngineeringPhysicsStructural Design
ML Rock-Paper-Scissors
03

Win rate

Real-time recognition

ML Rock-Paper-Scissors

Built a machine learning system using camera input and Google AI training to classify hand gestures and predict opponent moves in real-time, achieving consistent wins.

Machine LearningComputer VisionPython
Arduino IoT Car
04

WiFi

Control

Phone-controlled

Arduino IoT Car

Constructed a remote-controlled car using Arduino board with wireless control via a custom mobile phone application. Full integration of hardware sensors and software control.

ArduinoIoTMobile App+1
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The Wow Moment

Scroll to see how the road divider shifts based on traffic load. a concept I prototyped with LEGO EV3 and ultrasonic sensors.

Heavy Traffic →← Light Traffic
Lane 1 vehicles
Lane 2 vehicles
Smart divider