Eshan
Sengupta
AI Researcher • MS Artificial Intelligence
Building scalable intelligent systems in AI, IoT-Fog computing, and safety-critical applications. Published in Springer, IEEE with focus on real-world impact.
About Me
AI-driven technology enthusiast building scalable, intelligent systems. I turn complex problems into elegant software solutions, mentor high-impact engineering teams, and pioneer innovative AI applications across safety-critical domains. Fueled by continuous learning and collaboration, I push boundaries in AI research while exploring hikes, games, and anime. MSc from Vilnius Gediminas Technical University with 11+ peer-reviewed publications in Springer and IEEE.
Technical Expertise
Technical Skills
Business Analysis
Tools & Methodologies
Research Publications (11)
Sustainable Development Goal for Quality Education using Genetic Algorithm
IoT/Fog Early Alert System for Dangerous Train Passenger States
Fog-Based Visual Assistance for Blind Persons
Featured Projects (14)
Personal Portfolio
DiseasePredictionApp
ObjectDetection1 (YOLOv7)
Education
Master of Informatics Sciences
Artificial Intelligence Systems
Specialized in intelligent systems, deep learning, and fog computing architectures. Conducted advanced research on real-time safety applications and published multiple peer-reviewed papers in top-tier journals.
Bachelor of Technology
Computer Science & Engineering
Built a strong foundation in algorithms, data structures, software engineering principles, and system design. Developed practical skills in multiple programming languages and modern development frameworks.
Work Experience
Intern
Department of Information Technology
Developed enterprise solutions and optimized IT infrastructure for industrial operations. Implemented automated systems that improved operational efficiency and reduced manual processing time by 40%.
Trainee
Database Development & Optimization
Completed intensive training in database optimization and enterprise application development. Gained hands-on experience with complex query optimization, stored procedures, and performance tuning techniques.