Baisampayan Dey

AI/ML Engineer

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AboutMe

Hello! I'm Baisampayan Dey, currently pursuing B.Tech in Artificial Intelligence at Parul University, Vadodara, Gujarat. I specialize in building end-to-end AI solutions including RAG pipelines, LLM-based applications, and real-time inference systems. My passion lies in creating intelligent systems that solve complex real-world challenges and deliver production-ready results.

I enjoy taking an idea all the way from research and prototyping to a deployed, reliable product — designing data pipelines, fine-tuning models, and wrapping them in clean APIs and interfaces. Alongside my AI work, I've solved 300+ DSA problems and love exploring new tools, frameworks, and ideas. I'm always open to collaborating on ambitious projects and learning something new along the way.

Coming soon

AcademicJourney

01 / 02

2023 — 2026

Bachelor of Technology in Computer Science & Engineering (Artificial Intelligence)

Parul University

Pursuing specialized education in Artificial Intelligence with focus on machine learning, deep learning, and intelligent system design
Engaging in cutting-edge research and practical applications of AI in real-world scenarios
Specializations: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, MEAN Stack Development, High Parallel Computing
Key Coursework: Advanced Algorithms and Data Structures, Neural Networks and Deep Learning, Computer Vision and Image Processing, Natural Language Processing, AI Ethics and Responsible Computing

02 / 02

2020 — 2023

Diploma in Computer Science

IMPS Polytechnic College

Established solid foundation in computer science fundamentals including programming, data structures, software engineering, and system design
Developed strong analytical thinking and problem-solving skills essential for advanced studies
Core Areas: Programming Fundamentals, Data Structures, Database Systems, Algorithms, Software Engineering, System Analysis
Core Competencies: Object-Oriented Programming (Java, C++), Database Design and Management, Web Technologies (HTML, CSS, JavaScript), Software Development Life Cycle, System Architecture and Design, Project Management Fundamentals

ProfessionalExperience

Jan 2026 — Apr 2026

AI Developer Intern

iWebWala· Vadodara

Built MailBuddy — an AI-powered email triage platform with multi-category LLM classification and confidence scoring for fully automated inbox management.
Designed stateful agentic AI pipelines using LangGraph with persistent checkpointing and human-in-the-loop (HITL) feedback loops for reliable, auditable workflows.

Apr 2024 — Apr 2026

Q&A Subject Expert (Freelance)

Chegg Inc.· Remote

Solved 100+ problems across ML, Python, and DSA — debugged ML pipelines and explained complex concepts with precision and clarity for students worldwide.
Specialized in breaking down advanced topics in programming, data structures, algorithms, and theory of computation through detailed step-by-step solutions.

Feb 2025 — Apr 2025

Data Science Intern

Cognifyz Technologies· Remote

Built and evaluated ML models on 20K+ row datasets, improving F1-score by 10% through systematic feature engineering and hyperparameter tuning.
Executed the full end-to-end pipeline — EDA, preprocessing, feature selection, model training, and evaluation — using Python and SQL.

FeaturedProjects

AI-MOM

Real-time meeting intelligence platform that transcribes and summarizes conversations with advanced speaker diarization.
Leverages concurrent multi-model processing to deliver comprehensive insights and context-aware alerts.

GitHub Live

AI MOM (Minutes of Meetings)

Stress Analysis AI

Full-stack AI application combining machine learning with large language models to provide personalized stress assessments.
Delivers real-time analytics and intelligent counseling recommendations to help users manage their well-being effectively.

GitHub Live

Stress Analysis

DocuMind AI

Enterprise-grade RAG chat system allowing users to converse naturally with their documents across multiple formats.
Features semantic search and an automatic multi-LLM failover mechanism for high reliability and accurate source citations.

GitHub Live

DocuMind AI

MailBuddy

High-performance AI email assistant designed to streamline inbox triage through intelligent classification and summarization.
Utilizes an adaptive workflow to draft smart, context-aware replies and manage ongoing communications efficiently.

Live