Engineering systems, solving problems, training models.
I'm a Computer Science student who thinks in algorithms and builds in systems. Before touching a framework, I make sure the logic is optimal.
I've grinded 350+ DSA problems on LeetCode & GeeksForGeeks — not just for interviews, but because algorithmic thinking makes every solution better.
ML is a powerful tool in my engineering toolbox. My foundation is C++, data structures, systems thinking, and writing code that actually scales.
{
"name": "Kundan Kr Ray",
"role": "Software Engineer",
"secondary": "ML Engineer",
"languages": ["C++", "Python", "SQL"],
"strengths": [
"DSA", "System Design",
"ML Pipelines", "Optimization"
],
"gpa": 8.5,
"problems_solved": 300,
"open_to_work": true
}Real ML engineering — from data pipelines to trained models. Not just using libraries; building the systems around them.
CGPA: 8.5 / 10
Percentage: 79.6%
Percentage: 65.0%
Whether you have a question, a project idea, or just want to talk about system architecture and machine learning, my inbox is always open. I'll get back to you directly.