Sayandip Bhattacharyya

Hello! I am Sayandip Bhattacharyya

A passionate Computer Science Engineer specializing in Deep Learning, Natural Language Processing, and Computer Vision. I graduated with a B.Tech. in CSE from B.P. Poddar Institute of Management and Technology (MAKAUT) with an 8.79 DGPA, following an excellent academic record in ISC (92%) and ICSE (96.4%).

My journey in AI research and engineering includes impactful internships at HEVA AI (developing neural networks for neurological disorder detection), NIT Durgapur (building citation network analysis and automated review systems using SciBERT and T5), and as a student researcher at B.P. Poddar Institute, where I designed state-of-the-art CNN architectures for digit recognition, malaria detection, and driver distraction detection.

I have developed several innovative projects, such as a Q&A Agent System with document and web context using Gemini 2.0 Flash, a Text-to-SQL LLM, a Fake News Detection system leveraging transfer learning, and a Driver Monitoring System for micro-sleep and yawn detection.

My research has been recognized at top conferences, with papers accepted at IEEE CIACON and AISC Springer Proceedings, including BestNet (for digit recognition), GlaucNet (for glaucoma detection),GreenNet (for plant disease detection), and CarNet (for driver distraction detection). I have also won the SAP Inside Track Kolkata ICOE Hackathon in April 2024 and placed in the top 3 at the Jadavpur Deep Learning Hackathon in March 2024.

My technical toolkit includes Python, TensorFlow, PyTorch, Scikit-Learn, GCP, HuggingFace, and Google Colab, with expertise in CNNs, LLMs, and both NLP and Computer Vision domains. I am always eager to collaborate, learn, and contribute to impactful AI solutions.

Sayandip Bhattacharyya Profile

My Resume

You can view or download my latest resume below:

View Resume

What I Do

Deep Learning

Designing and implementing neural networks for complex problem-solving, including neurological disorder detection and image recognition.

Natural Language Processing

Building advanced NLP systems for citation network analysis, automated review, and Q&A agents using state-of-the-art models like SciBERT and T5.

Computer Vision

Developing robust computer vision solutions for digit recognition, malaria detection, and driver monitoring systems using CNN architectures.

Skills

Languages

Python

Frameworks & Libraries

TensorFlow PyTorch Scikit-Learn

Domains

NLP Computer Vision

Technologies

CNNs LLMs GCP Hugging Face

Tools

Google Colaboratory Visual Studio Code

Certifications

  • Introduction To Large Language Models

    Issued in: May 2025 | Course by: IIT Madras | Issued by: NPTEL

    View Certificate

  • Cloud Computing

    Issued in: November 2024 | Course by: IIT Kharagpur | Issued by: NPTEL

    View Certificate

  • Deep Learning

    Issued in: May 2024 | Course by: IIT Kharagpur | Issued by: NPTEL

    View Certificate

  • Introduction to Machine Learning

    Issued in: November 2023 | Course by: IIT Madras | Issued by: NPTEL

    View Certificate

  • Programming Data Structures and Algorithms Using Python

    Issued in: April 2023 | Course by: IIT Madras | Issued by: NPTEL

    View Certificate

Projects

Code Analyzer

A multi-language code analyzer and bug fixer web app using Gemini 2.5 Flash to help developers quickly understand, debug, and clean up source code.

Technologies: Gemini 2.5 Flash, Streamlit, Python

Test the App

Q&A Agent System With Document Context And Web Context

A Q&A agent that processes multiple document formats and accesses the internet in real-time to provide comprehensive answers using Gemini 2.5 Flash.

Technologies: Gemini 2.5 Flash, Document Processing, Web Search as a Tool

Test the App

Text to SQL System

Implemented a LLM that can generate SQL from natural language queries, syntactically validate them, and run them on databases to obtain desired results.

Technologies: LLM finetuning, SQL, Database Interaction

View Project

Fake News Detection

Built a fake news detection system using Transfer Learning on textual data.

Technologies: Transfer Learning, NLP, Textual Data

View Project

Driver Monitoring System

Developed a model that can detect micro-sleep and yawning in drivers through videos.

Technologies: Computer Vision

View Project

Hackathons

  • SAP Inside Track Kolkata SIT ICOE Hackathon 2024 - 1st Place

    April 2024 | Organized by SAP Inside Track Kolkata | Event: SIT ICOE Hackathon

    Secured 1st place for an automated essay grading solution, boosting performance from the then-best 79% to S95% quadratic weighted kappa on the AES dataset, outperforming 400+ teams.

    Read More On SAP Community Kolkata Blog Posts

  • SRIJAN, JADAVPUR UNIVERSITY's OpenAImer Machine Learning Hackathon - 3rd Place

    March 2024 | Organized by Jadavpur University | Event: OpenAImer

    Achieved 3rd place in the OpenAImer Machine Learning event at SRIJAN, JADAVPUR UNIVERSITY's Tech-Fest.

    Read More On CodeClub JU's LinkedIn Post

Research Publications

  • GreenNet: A Low-Cost Solution for Plant Disease Detection

    Conference: AISC 2025, Springer Proceedings | Date: June 2025

    A novel neural network with 1.1 million parameters achieving 99.75% accuracy on the Plant Village Dataset.

    Read More On LinkedIn

  • GlaucNet: A Novel and Computationally Sustainable Glaucoma Detection System

    Conference: AISC 2025, Springer Proceedings | Date: June 2025

    Developed a CNN for identifying glaucoma from retinal images, winning the Best Poster Award at AISC 2025.

    Read More On LinkedIn

  • BestNet: Advancing MNIST Handwriting Recognition

    Conference: IEEE CIACON 2025 | Date: June 2025

    Achieved state-of-the-art results on the MNIST dataset with a novel neural network.

    Read More On LinkedIn

  • CarNet: An Innovative and Cost-Effective Driver Monitoring System

    Conference: AISC 2024, Springer Proceedings | Date: June 2024

    A novel CNN architecture for driver monitoring with 99.94% accuracy and only 0.6 million parameters.

    Read More On LinkedIn