Hi — I'm SUPRATIK Bhowal

Undergraduate CS Sophomore student specializing in AI & ML. I build AI models, contribute to open-source, and explore real-world applications.
Currently learning Advanced DL Frameworks, LLMs Architecture & RL Applications.

See Projects Hire me

supratikbhowal23@gmail.com

GitHub

Kaggle

About Me

I am an undergraduate Computer Science student specializing in AI & ML at the Institute of Engineering and Management, Kolkata. Passionate about building intelligent systems, deep learning models, and contributing to impactful open-source projects.

My journey in artificial intelligence is driven by curiosity and the desire to solve real-world problems through innovative machine learning solutions. I specialize in deep learning architectures, particularly in areas like seizure prediction and real-time signal processing.

When I'm not coding or researching, you'll find me contributing to open-source projects, participating in hackathons, or exploring the latest developments in AI and machine learning.

AI Research

Presently writing a review paper on Scientific ML, developing a new RL Project & working on Human-Computer Interaction

Open Source

Active contributor to various open-source projects and communities, sharing knowledge and building tools for the developer ecosystem.

Innovation

Passionate about creating technology that makes a positive impact on society and improves people's lives through intelligent solutions.

Technical Skills

A comprehensive toolkit for building intelligent systems and solving complex problems

Programming Languages

Python

Objective-C

C++

SQL

MATLAB

HTML

Frameworks & Libraries

Pandas

NumPy

Matplotlib

Seaborn

Scikit-Learn

TensorFlow

PyTorch

Keras

Technologies

Machine Learning

Deep Learning

Git

Weights & Biases

Feature Engineering

Kaggle

Hugging Face

Languages

English (Professional)

Bengali (Native)

Hindi (Limited Proficiency)

Data Structures & Algorithms (DSA)

Track my DSA journey and problem-solving skills on LeetCode.

View LeetCode

Education & Learning

Building a strong foundation in computer science and artificial intelligence

Institute of Engineering and Management (IEM), Kolkata Current

2024–Present

YGPA: 9.11 (1st yr)

B.Tech Computer Science (AI & ML)

Relevant Courses:

Machine Learning

DSA

DAA

C Programming

South Point High School (SPHS), Kolkata

2010–2024

90% (12th), 95% (10th)

PCM with Computer Science

Relevant Courses:

Python Programming

MySQL

HTML

Computer Networks

Professional Experience

Building expertise through research, internships, and community involvement

HCI Research Intern Internship Current

IEM with IIT Mandi Chapter

📍 Kolkata, India

📅 July 2025 – Present

Conducting research in Human-Computer Interaction, focusing on innovative interfaces and user experience design.

IEEE EMBS Student Intern Internship

IEEE Engineering Medicine and Biology Society

📍 Pune, India

📅 June – July 2025

Developed Deep Learning models for Epileptic Seizure Detection and Prediction using advanced neural network (CNN-BiLSTM, Autoencoder, Attention MLP) under mentorship of Prof. Sneha Deshmukh.

Open Source Contributor Contribution

Social Winter of Code (SWOC)

📍 Remote

📅 Jan – Mar 2025

Actively contributed to open-source and resolved issues and solved front-end & back-end issues.

Affiliations & Memberships

Engaging in professional and technical communities to foster collaboration & innovation

GDG Student Member

Google Developer Groups on Campus, IEM

📅 Sept 2025 – Present

Participating in Google Developer Groups activities, contributing to tech events, workshops, and community projects at IEM.

Technical Lead Leadership

Society for Data Science (S4DS), IEM Student Chapter

📅 Sept 2024 – Present

Spearheading technical operations, managing data science events, and evaluating projects for the IEM Student Chapter.

AI/ML Team Member

IEEE Computer Society, IEM Chapter

📅 Aug 2024 – Present

Actively participating in IEEE events, hackathons, and research collaborations to contribute to global technical advancements.

Selected Projects

View all on GitHub →

Epilepsy Prediction & Detection

Developed DL algorithms for both real-time Epileptic Seizure Detection and Prediction on EEG signals. The CNN-BiLSTM model achieved 98% prediction accuracy, while the Transformer model showed 89% detection accuracy.

Technologies Used:

Python

Scikit-learn

Tensorflow

Scipy

Keras

Repo→

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.

Technologies Used:

Python

Scikit-learn

NumPy

Pandas

Repo→ Kaggle→

HarmonyRL

Deep Learning framework for generating symbolic music (MIDI) using Supervised Learning, Reinforcement Learning (RL), and Diffusion-based Postprocessing.

Technologies Used:

Python

HuggingFace

PyTorch

Scipy

Librosa

Repo→

Neural Network for Multi Class Classification (ANN_MNIST_AdaAct)

Creating an ANN for Multi-Class Classification with Custom Ada-Act Function from scratch.

Technologies Used:

Python

NumPy

Pandas

Math

Repo→

Sentiment Analysis & Recommendation System for App Data

Sentiment Classifier to analyze and predict the sentiment of user reviews collected from 1 million Google Play Store entries.

Technologies Used:

Python

Scikit-learn

Tensorflow

Repo→ Kaggle→

Arabic Dates Classification (ResNet50)

A deep learning model using ResNet50 to classify and recognize different Arabic date varieties with high accuracy. (Open Source)

Technologies Used:

Python

PyTorch

ResNet50

Repo→ Kaggle→

Contact

Let's build something.

Email me at supratikbhowal23@gmail.com

Or find me on

GitHub LinkedIn