Hello, I'm Abhinav Sathiyamoorthy

 

Artificial Intelligence enthusiast and developer passionate about creating smart, scalable solutions to real-world problems. Based in Melbourne, Australia.

Abhinav Sathiyamoorthy

Get to know me

I'm Abhinav Sathiyamoorthy, currently pursuing a Master of Artificial Intelligence at Monash University. I'm passionate about building intelligent systems that solve meaningful, real-world problems. During my time as a System Engineer at Tata Consultancy Services and as a research trainee at the Indian Space Research Organisation (ISRO), I gained hands-on experience in both industry and research environments. I'm driven by curiosity and a desire to create impactful, scalable solutions using AI and modern technologies.

Education

Master of Artificial Intelligence

Monash University, Clayton, Australia

Mar 2026 – Present

B.Tech in Computer Science and Engineering

Amrita Vishwa Vidyapeetham, Coimbatore, India

Oct 2020 – May 2024

Higher Secondary Education (Class XII)

The New Tulip International School, Ahmedabad, India

2018 – 2020

Secondary Education (Class X)

Kendriya Vidyalaya SAC, Ahmedabad, India

2016 – 2018

Technical Skills

Open Source Activity

A live view of my contributions and coding streaks.

GitHub Stats
GitHub Streak
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Top Languages
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Work Experience

System Engineer Nov 2024 – Feb 2026

Tata Consultancy Services Ltd — Trivandrum, India

Worked as a System Engineer (Grade-CI), gained proficient knowledge in Java, JDBC, Azure Cloud Platform & ServiceNow related tasks.

Project Trainee Jan 2024 – Mar 2024

Indian Space Research Organisation (ISRO) — Trivandrum, India

Worked on a research project entitled "Automated Identification of Venusian Volcanic Features using Convolutional Neural Networks".

Featured Work

Cloud Security & Data Integrity using Blockchain

Implemented blockchain-based integrity verification with Merkle Trees for secure cloud data management.

Blockchain Merkle Trees Security Python

Churn Prediction System

Built ML models (MLP, Naive Bayes, XGBoost) achieving improved churn prediction accuracy for telecom data.

XGBoost Naive Bayes MLP Python

Movie Recommender System

Developed neural collaborative filtering model using PyTorch with high precision recommendation results.

PyTorch Neural Networks Collaborative Filtering

Get In Touch

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