AI & Machine Learning / Software Engineering / Research & Systems
I build ML systems that solve real problems — disaster risk prediction, environmental health AI, and data-driven decision tools. Currently a 2nd-year CSE student specialising in AI & ML with a minor in Cybersecurity.
I'm a Computer Science undergraduate at IEM Kolkata, majoring in AI & Machine Learning with a minor in Cybersecurity. My focus is applied ML — building end-to-end systems that move from raw data to deployed, usable tools.
My work deals with high-stakes problems: predicting natural disasters before they happen, detecting disease risk from environmental images, classifying health risk factors in under-resourced areas. The engineering has to be reliable because the problems are real.
Outside of project work I study algorithms, earn certifications, compete in hackathons, and explore research-driven problem solving at the intersection of AI, public health, and environmental science.
I'm a Computer Science undergraduate at IEM Kolkata specializing in AI & Machine Learning with a minor in Cybersecurity.
I build end-to-end ML systems focused on disaster prediction, environmental risk analysis, and applied AI.
My interests lie at the intersection of AI, public health, environmental science, and research-driven problem solving.
CNN + RAG system for detecting disease-associated environmental hazards and generating preventive health advisories.
Real-time flood and heatwave risk assessment using machine learning models and live weather APIs.
CNN + RAG system for detecting disease-associated environmental hazards and generating preventive health advisories.
AI-powered crowd management platform with congestion monitoring, route optimization, and attendee assistance.
Applied research projects, conference submissions, and ongoing technical investigations
Research on detecting disease-associated environmental hazards from images using CNNs and generating context-aware preventive health advisories through a Retrieval-Augmented Generation (RAG) pipeline.
Research on real-time flood and heatwave risk assessment using machine learning, live meteorological APIs, and decision-support frameworks for localized hazard monitoring.
Research and development of machine learning techniques for multi-source anomaly detection, threat monitoring, and real-time cybersecurity analytics using interactive dashboard systems.
Building predictive and clustering models using Python and Scikit-learn on healthcare and real-estate datasets. Focused on preprocessing, model selection, and evaluation.
Completed AI/ML training covering data preprocessing, model evaluation, and model development. Built and deployed a disaster risk prediction application using Streamlit.
Achieved Elite + Gold certification with a perfect 100% score across all assessments, ranking among the top performers nationally.
Achieved Elite + Gold certification with a 90% score in NPTEL's computational thinking and Python programming course.
Earned a 5-star Python rating through problem solving and coding assessments.
Ranked among the top 50 teams from IEM Kolkata in Smart India Hackathon 2025, advancing to the pre-final round with a team-developed technical solution.
Focused on machine learning, applied AI, and software engineering. Whether it's research, internships, collaborative projects, or building something ambitious from scratch, I'm always open to thoughtful conversations.
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