About
AI & ML-focused Computer Science student building practical software systems and exploring cybersecurity.
Jyotiraditya Deb
Computer Science Student (AI & ML)
About
Directly adapted from resume content.
I am currently pursuing B.E. in Computer Science Engineering (AI & ML) at M S Ramaiah Institute of Technology (2023-2027).
My interests include machine learning, cybersecurity, and building software systems that solve practical, real-world problems.
I enjoy exploring new technologies and applying technical knowledge through project development and research-led experimentation.
B.E. in Computer Science Engineering (AI & ML), 2023-2027
Hands-on project work in ML, federated learning, and cybersecurity
Strong foundation in Python, C, C++, Java, and networking
Project Journey
Resume-listed projects and ongoing technical explorations.
Application Development Project
Insurance Management Application
Built an application to manage insurance policies, claims, and customer information with a simple record-management interface.
- Implemented policy and claims handling workflows
- Designed structured customer and policy information flow
Women Safety Project
SafeHer
Safety-oriented project initiative focused on practical support mechanisms for emergency scenarios.
- Explored real-world safety problem framing
- Designed project direction around practical usability
Web Application Project
Vendor Project
Vendor-focused project involving structured management workflows and implementation planning.
- Worked on vendor-related process handling
- Focused on practical and usable feature flow
Research Exploration
Federated Learning Based Gesture Threat Detection for Women Safety
Exploring gesture-based emergency detection through mobile devices using privacy-preserving federated learning ideas.
- Studying distributed model training across devices
- Focused on practical personal safety use-cases
Cybersecurity + AI Exploration
Automated Penetration Testing Framework Using Multi-Agent LLM Collaboration
Investigating collaborative AI agent workflows for vulnerability detection and automated security reporting.
- Studying multi-agent coordination for pentesting tasks
- Exploring LLM-assisted cybersecurity workflows
Education
Academic milestones from the resume.
2023 - 2027
M S Ramaiah Institute of Technology
B.E. Computer Science Engineering (AI & ML)
Completed in 2022
Delhi Public School, Digboi
Class XII
Completed in 2020
Vivekananda Kendra Vidyalaya, Laipuli
Class X
Skills & Tools
Technical strengths and language capabilities.
Programming
PythonCC++JavaWeb Programming
Core Concepts
Data Structures and AlgorithmsComputer Networking
Technologies
Machine Learning (Fundamentals)MongoDBGitGitHub
Languages
EnglishHindiBengaliAssamese
Notable Achievements
Certification and learning milestones.
- AWS Academy Graduate - Machine Learning Foundations
- AWS Academy Graduate - Machine Learning for Natural Language Processing - Training Badge (04/03/2026)
- Credly Badge Link: www.credly.com/go/T2z78Dag
- Completed certification on The Bits and Bytes of Computer Networking
- Completed Introduction to MongoDB
- Completed Data Structures and Algorithms certification
Interests
Artificial IntelligenceMachine LearningCybersecurityBuilding Practical Software Projects
Selected Projects
Only projects present in the resume.
Insurance Management Application
- Developed an application to manage insurance services including policies and claims.
- Implemented features for customer data and policy information handling.
- Designed for simple, practical insurance record management.
SafeHer
- Project initiative focused on safety-centric workflows.
- Explored practical mechanisms for emergency support use-cases.
Vendor Project
- Built around vendor-oriented process and management flow.
- Focused on practical implementation and usability.
Federated Learning Based Gesture Threat Detection for Women Safety
- Exploring gesture-based emergency detection using mobile devices.
- Studying federated learning to support privacy-preserving model training.
- Focused on intelligent mobile safety systems.
Automated Penetration Testing Framework Using Multi-Agent LLM Collaboration
- Studying collaborative AI agents for penetration testing support.
- Focusing on vulnerability detection and automated reporting.
- Exploring large language model use in security workflows.