Sushant Rana

Hi, I'm Sushant Rana

A 4th-year Bachelor’s student in Computer Science, passionate about Artificial Intelligence and Machine Learning.

I started my bachelor’s in 2022, and over the past years, I’ve immersed myself in coding, ML projects, and AI challenges. I qualified in IILM Hackaverse, which gave me practical experience in solving real-world problems.

I enjoy building machine learning models, exploring computer vision tasks, and experimenting with NLP. Python, TensorFlow, and PyTorch are my primary tools, and I’m constantly learning to improve my skills.

Beyond coding, I focus on personal growth: participating in hackathons, learning new AI techniques, and reading research papers. My goal is to create intelligent solutions that combine creativity with technology to make an impact.

Skills & Tools

The technologies and tools I use regularly

Python (TensorFlow, PyTorch) 95%
Machine Learning & Deep Learning 88%
Computer Vision 92%
Jupyter Notebook / Colab 85%
Git & GitHub 92%
Java 83%

My Journey

Key milestones so far

INITIALIZATION: Cybersecurity Protocol

2022.01 - Semester 01

First boot sequence initiated exploring cybersecurity systems. Understanding digital defense mechanisms and system vulnerabilities sparked my passion for technology architecture and advanced problem-solving algorithms.

EXPLORATION: Digital Universe Mapping

Semester 02 - Semester 03

Advanced exploration protocols engaged: programming languages, data science frameworks, and AI foundation algorithms. Experimental project simulations executed, discovering neural pathways for building intelligent learning systems.

BREAKTHROUGH: Hackaverse Neural Network

Semester 03

Critical system upgrade achieved through IILM Hackaverse participation. Competing with advanced AI minds and solving real-world optimization problems triggered specialization protocol selection: AI/ML engineering pathway activated.

OPTIMIZATION: AI Excellence Algorithm

Semester 04 - Present

Full immersion in AI/ML ecosystem achieved. Executing computer vision models, NLP processing, and predictive modeling projects. Daily neural network training sessions active, targeting innovation protocols and intelligent solution architecture for next-gen AI engineering.