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
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. Intelligent solutions for positive impact.
Technical Arsenal
Education
B.Tech Computer Science (AI & ML)
Relevant Courses: Machine Learning, DSA, DAA, C Programming
PCM with Computer Science
Relevant Courses: Python Programming, MySQL, HTML, Computer Networks
Professional Journey
AI Intern
Develop AI workflows and integrate AI-driven features into startup products and services, including CRM systems and WhatsApp bots.
HCI Research Intern
Conducting research in Human-Computer Interaction, focusing on innovative interfaces and user experience design.
Project Intern
Created a Project on 'Forward Collision Avoidance in Autonomous Driving' using ADAS & computer vision.
Open Source Contributor
Successfully contributed by completing 3 merged pull requests across 2 different organization projects, delivering meaningful open-source improvements.
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
Participated in Google Cloud Skills Boost labs for a cohort of learners in a gamified cloud-learning environment.
Open Source Contributor
Actively contributed to open-source and resolved front-end & back-end issues.
Memberships
GDG Student Member
Participating in Google Developer Groups activities, contributing to tech events, workshops, and community projects at IEM.
Sept 2025 – PresentTechnical Lead
Spearheading technical operations, managing data science events, and evaluating projects for the IEM Student Chapter.
Sept 2024 – Present LeadershipAI/ML Team Member
Actively participating in IEEE events, hackathons, and research collaborations to contribute to global technical advancements.
Aug 2024 – PresentSelected Projects
View AllDL algorithms for real-time Seizure Detection/Prediction on EEG signals. CNN-BiLSTM achieved 98% prediction accuracy, while the Transformer model showed 89% detection accuracy.
NLP-powered system that answers complex HR policy queries using RAG and executes HR actions from natural language.
Deep Learning framework for generating symbolic music (MIDI) using Supervised Learning, Reinforcement Learning (RL), and Diffusion-based Postprocessing.
Built ML & DL models that predict poker hand categories based on dealt cards. Combined multiple algorithms into a Stacking Classifier for enhanced performance.
Sentiment Classifier to analyze and predict the sentiment of user reviews collected from 1 million Google Play Store entries.
Let's Create Together
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.
supratikbhowal23@gmail.com