Mayukh Dey

B.Tech CSE graduate who builds full-stack, AI-integrated products end to end - from an LLM-powered analytics dashboard using the Claude API to a blockchain-backed compliance system with real business impact. Comfortable working across the stack (Next.js, React, Node.js, Django) with hands-on experience in prompt engineering, RAG basics, and workflow automation. A self-starter who ships independent projects beyond coursework, with genuine interest in how AI and data platforms apply to finance, private markets, and B2B advisory.

Artificial Intelligence Intern at Shell-Edunet Foundation (2025-06 – 2025-07)

• Built a machine learning model in Python (RandomForest, MultiOutputRegressor) to predict water quality across 10,000+ records, achieving 0.85 R² accuracy.
• Improved model accuracy by 10% through data preprocessing and hyperparameter tuning; produced 15+ visualizations to communicate insights to stakeholders.

Software Development Intern at Exposys Data Labs (2025-07 – 2025-08)

• Rapidly onboarded onto an existing Django-based e-learning platform (see Stanselearn project above) and implemented data-driven features with role-based access controls.

Python Programming Intern at CodSoft (2024-09)

• Built and refined three Python automation tools (To-Do List, Calculator, Password Generator), adding data-validation and security features.

B.Tech in Computer Science & Engineering – Jalpaiguri Government Engineering College (2022 – 2026)