Supratik Bhowal
Undergraduate CS Sophomore specializing in AI & ML. I build intelligent models, contribute to open-source, and explore the frontiers of Deep Learning.
About Me
I'm a Computer Science undergrad at the Institute of Engineering and Management, Kolkata, with a deep focus on AI & ML. I love building intelligent systems and diving into deep learning models that actually make a difference.
My journey in AI started with simple curiosity but quickly grew into a passion for solving real-world problems. Presently learning Advanced DL Frameworks, LLMs Architecture & RL Applications.
Outside of research and code, I'm usually contributing to open-source, hacking away at a weekend hackathon, or just geeking out over the latest AI papers.
AI Research
Currently working on a review paper for Scientific ML, building a new RL project, and exploring Human-Computer Interaction.
Open Source
I'm an active contributor to various open-source communities—sharing knowledge and building tools for the dev ecosystem.
Innovation
Driven to create tech that actually helps people. I believe in using intelligent solutions to make a positive impact.
Technical Skills
Programming Languages
Frameworks & Libraries
Technologies
Data Structures & Algorithms
Education & Learning
B.Tech Computer Science (AI & ML)
YGPA: 9.11 (1st yr)
Relevant Courses: Machine Learning, DSA, DAA, C Programming
PCM with Computer Science
90% (12th), 95% (10th)
Relevant Courses: Python Programming, MySQL, HTML, Computer Networks
Professional Experience
HCI Research Intern
Conducting research in Human-Computer Interaction, focusing on innovative interfaces and user experience design.
IEEE EMBS Student Intern
Developed Deep Learning models for Epileptic Seizure Detection and Prediction (CNN-BiLSTM, Autoencoder, Attention MLP) under mentorship of Prof. Sneha Deshmukh.
Open Source Contributor
Actively contributed to open-source and resolved issues and solved front-end & back-end issues.
Affiliations & Memberships
GDG Student Member
Participating in Google Developer Groups activities, contributing to tech events, workshops, and community projects at IEM.
Technical Lead
Spearheading technical operations, managing data science events, and evaluating projects for the IEM Student Chapter.
AI/ML Team Member
Actively participating in IEEE events, hackathons, and research collaborations to contribute to global technical advancements.
Featured Projects
View AllEpilepsy Prediction & Detection
DL algorithms for real-time Seizure Detection/Prediction on EEG signals. CNN-BiLSTM achieved 98% prediction accuracy, while the Transformer model showed 89% detection accuracy.
Poker Hand Prediction Model
Built ML & DL models that predict poker hand categories based on dealt cards. Combined multiple algorithms including Random Forest, SVM, and MLP Classifier into a Stacking Classifier for enhanced performance.
HarmonyRL
Deep Learning framework for generating symbolic music (MIDI) using Supervised Learning, Reinforcement Learning (RL), and Diffusion-based Postprocessing.
ANN for Multi-Class Classification
Creating an ANN for Multi-Class Classification with Custom Ada-Act Function from scratch.
Sentiment Analysis & Recommendation
Sentiment Classifier to analyze and predict the sentiment of user reviews collected from 1 million Google Play Store entries.
Let's Build Something Amazing
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.
Say Hello