In a world where everyone is building bigger AI models...
There's someone who asks: "But how do these algorithms actually work?"
While others focus on scaling and performance metrics...
This person digs into the mathematical foundations and algorithmic principles.
Who studies AI fundamentals and explores intelligent system design?
Well...
I like to learn how deep ideas in AI really work. I enjoy connecting old thinking with new models using simple tools. My work comes from questions about math, logic, and how we understand things.
I care about clear thinking, true meaning, and learning step by step.
| B.Tech in AI & Data Science | Academic Degree |
| Developer, AllyCat Project | AI Alliance (Meta & IBM Joint Initiative) |
| Future AWS AI Scientist Track 2025 | AI & ML Nanodegree Program |
| AWS AI & ML Scholarship 2024 | AI Programming with Python Nanodegree |
| Google TPU Research Grant | Recipient |
| Cerebras Fellow | Research Program |
| Founder | AI Youth Alliance |
| Mentor, REYES 2025 | UC Berkeley |
| Google Arcade Facilitator | Program |
| Associate Member | Open Mainframe Project, Linux Foundation |
| Bronze Honor | International Youth Math Challenge |
Learning from the past to build the next kind of intelligence
AI Research Methodology: From Theory to Implementation
+-------------+ +---------------+ +------------------+ +----------------+
| Mathematics | --> | Algorithm | --> | Implementation | --> | Evaluation |
| | | Design | | | | |
+-------------+ +---------------+ +------------------+ +----------------+
|
v
+-----------------------------------------------------------+
| Current AI Systems |
| • Neural Networks • Deep Learning • Machine Learning |
+-----------------------------------------------------------+
|
+---------------------------+---------------------------+
| |
v v
+----------------+ +------------------+
| Optimization | | Interpretability |
| • Performance | | • Explainable AI |
| • Efficiency | | • Transparency |
+----------------+ +------------------+
| |
v v
+---------------------------------------------------------------+
| Emerging AI Research Areas |
| • Quantum AI • Physics-Informed AI • Neuroscience AI |
| • Brain-Computer Interface • Mainframe AI |
+---------------------------------------------------------------+
|
v
+---------------------------------------------------------------+
| Practical Applications |
| • Computer Vision • NLP • Robotics • Decision Systems |
+---------------------------------------------------------------+
|
AGI Foundations |
AI Architecture |
Mathematical Intelligence |
|
Ancient Wisdom + AI |
AI Education |
Research Collaboration |
"Real intelligence emerges from understanding the mathematical foundations of consciousness,
not from scaling statistical patterns."— Niloy Deb Barma