Hello, I'm Aditya Mallick.

Building Intelligent IoT & AI Systems

A third-year Computer Science student specializing in Embedded Systems and Computer Vision using Raspberry Pi. I build real-time automation systems integrating OpenCV, GPIO, and sensor modules. With certifications in Machine Learning (Stanford) and Oracle Cloud AI, I focus on creating intelligent IoT and robotics-driven systems. Currently seeking internships in IoT, Robotics, and AI-driven system development.

View My Work

About Me

My journey in tech began with a strong foundation in Python, Java, and a primary focus on the Internet of Things (IoT). I am now dedicated to bridging the gap between hardware and intelligence by learning AI and Machine Learning. My goal is to develop smart, autonomous systems that can perceive, learn, and interact with the physical world. I'm excited to grow as a professional at the intersection of IoT and AI.

Download Resume

B.Tech (CSE), ITER, SOA University

2023–2027 | Bhubaneswar

CGPA: 9.06 (Currently in 5th semester)

12th CBSE (PCM)

2023 | D.A.V. Public School, Bhubaneswar

Percentage: 88.6%

10th CBSE

2021 | D.A.V. Public School, Bhubaneswar

Percentage: 93.2%

Skills & Technologies

Programming Languages

Python

Java

JavaScript

Libraries & Frameworks

NumPy

Pandas

Matplotlib

OpenCV

PyGame

Flask

IoT & Hardware

Raspberry Pi

GPIO

PiCamera2

HX711 (Load Cell)

PCA9685

Cloud & AI

Oracle Cloud (OCI)

Machine Learning

Projects

Web-Controlled Surveillance Robot Using Raspberry Pi

Developed a real-time web-controlled surveillance robot enabling live video streaming and remote navigation. Integrated Raspberry Pi, OpenCV, Flask, and GPIO-based motor control to build a smart monitoring system suitable for homes, offices, and security-sensitive environments.

View Code Watch Demo

Automated Object Sorter Using Computer Vision & Load Cell

Built an intelligent object sorting system combining real-time shape detection and weight-based classification using Raspberry Pi. Implemented OpenCV with PiCamera2 for vision processing and integrated HX711 load cell (24-bit ADC) for accurate mass measurement. Automated pick-and-place operations using a 6-DOF robotic arm controlled via PCA9685 (I2C).

Code & Demo Coming Soon