AI Engineer & Mathematician
I build intelligent systems by translating complex mathematical theories into elegant, functional code.
For me, AI and Machine Learning aren't just about black-box abstractions; they are the living application of mathematics. My passion lies in building key algorithms from scratch to reinforce conceptual understanding—from the calculus that drives optimization, to the linear algebra that defines vector spaces, and the probability that governs uncertainty. I strive to build models that are not only powerful but also mathematically sound and implemented from first principles.
Bachelor of Technology, Information Technology
CGPA: 8.94
Aug 2024 - May 2028
Secondary & Higher Secondary Schooling
ISC (Class 12): 95.3%
ICSE (Class 10): 98.3%
2010 - 2024
Selected by Government of India
May 2024
Calcutta Quizzing Circuit (CQC)
Jan 2025 - Jul 2025
Managing all aspects of the quizzing circuit, from member engagement and event organization to external relations.
Where theory meets application.
Implemented foundational ML/NLP algorithms (Regression, KNN, K-Means, MLP, Bag-of-Words, TF-IDF, CBOW, SkipGram) from first principles to reinforce conceptual understanding without black-box abstractions.
Authored a paper proposing AI-based statistical techniques to accelerate material innovation. Won 1st Place at Professor Brahma Prakash Memorial Material Science Paper Presentation 2023.
Built a unified aggregator for academic papers from DBLP, ArXiv, and more, with real-time summarization via Google Gemini API.
Applied data science to sports prediction using Decision Trees, Random Forests, and Monte Carlo simulations. Won BrainDead 2025 Hackathon.
Built a real-time accessibility assistant for the visually impaired with object detection, depth estimation, and speech/gesture recognition.
Curated a diverse portfolio of AI/ML experiments and interactive tools, including music generation, a spam classifier, and a geography guessing game. Won Best Design at Hacknoware 2025 for MentL, a mental wellness assistant.
Continuous learning and specialization.
The languages, frameworks, and concepts I use daily.