Sreyosh Majumder

WORK HISTORY

EDUCATION

ABOUT SREYOSH MAJUMDER

I\'m a second-year B.Tech student specialising in Computer Science with AI/ML at Vellore Institute of Technology (VIT), with a strong focus on building intelligent, full-stack systems that solve real-world problems.My research paper — \"Blockchain-Enabled Decentralized Spam Call Detection Framework using IPFS & Adaptive ML Scoring\" — was accepted at PREMI 2025, organised by IIT Delhi in collaboration with ISI Kolkata. I built the IPFS-based decentralised storage layer and the adaptive ML scoring pipeline under the mentorship of Dr. Subhas Barman (HoD, CSE, JGEC).My work focuses on developing end-to-end machine learning pipelines—from data preprocessing and feature engineering to model training, evaluation, deployment, and monitoring.One of my key projects includes a spam call detection system that uses machine learning models such as Isolation Forest and Random Forest to detect fraudulent telecom activity. The system incorporates rule-based intelligence, dynamic thresholds, and real-time scoring to improve detection accuracy.I enjoy building scalable ML systems that can be deployed in real-world environments and integrated with APIs and data pipelines.Technical Skills• Python • Machine Learning (Scikit-Learn) • PyTorch • Data Analysis (Pandas, NumPy) • FastAPI • SQL / SQLite • Model Evaluation & Feature EngineeringCurrent Interests• MLOps and ML deployment • Real-time ML systems • Computer Vision • AI systems using large language modelsI am always open to collaboration, research opportunities, and entry-level Machine Learning Engineer roles.GitHub: https://github.com/sreyoshmajumder