AI/ML Engineer specializing in Computer Vision, Deep Learning & Explainable AI. Published IEEE researcher building systems that achieve up to 97% accuracy. Currently pursuing B.Tech at Institute of Engineering and Management, Kolkata.
I'm a final-year Computer Science (IoT, CS & BT) student at the Institute of Engineering & Management, Kolkata< — where theory meets real-world machine learning challenges.
My work sits at the intersection of deep learning and Artificial Intelligence. From predicting gestational diabetes with 97% accuracy using Explainable AI, to verifying faces in adverse weather with Siamese Networks — I build systems that don't just predict, but explain.
I've published at IEEE INDICON 2025 and in a Springer Nature volume. When I'm not training models, I'm serving as Treasurer of the IEEE CIS Society Student Chapter.
Deep learning-based freshness detection using CNN integrated with Grad-CAM for visual interpretability and fuzzy logic for nuanced decision-making. Deployed via Docker with REST API backend.
Siamese Neural Network for face verification achieving 93% accuracy under adverse environmental conditions (fog, rain, low-light). CNN-based feature extraction with robust data augmentation pipelines.
End-to-end binary sentiment analysis on movie review datasets. Designed full NLP pipeline including text cleaning, tokenization, vectorization, and transformer-based architectures from Hugging Face.
Early-stage GDM prediction using ensemble and meta-learning techniques, achieving 97% predictive accuracy. Integrated Explainable AI for clinical transparency and interpretability.
Market segmentation analysis on Indian EV market datasets using clustering and supervised learning. Identified key customer behavior groups to inform business strategy.
Deep learning-based crop disease classification achieving 95% accuracy. Optimized preprocessing and feature extraction workflows to improve classification consistency for agricultural AI.
I'm actively seeking research collaborations, AI/ML engineering roles, and internship opportunities. If you're working on something interesting in CV, DL, or XAI — let's talk.