I am a Spring Bootβfocused backend developer and an AI & Machine Learning enthusiast with hands-on experience in system-level programming, networking tools, and Linux-based development.
I enjoy working close to the system β from backend services to Raspberry Pi, image processing, and network analysis.
π B.Tech β Madhav Institute of Technology & Science (MITS)
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Backend Development (Spring Boot)
RESTful APIs, layered architecture, database integration, authentication, and backend optimization. -
Artificial Intelligence & Machine Learning
Data preprocessing, feature engineering, classical ML models, and applied AI use-cases. -
System & Low-Level Work
Linux environment, Raspberry Pi development, camera pipelines, and image processing workflows. -
Networking & API Testing
API testing with Postman, traffic inspection and debugging using Wireshark. -
Frontend Basics
Clean UI using HTML, CSS, and JavaScript (no heavy frontend frameworks).
- Yogesh Sanodiya, Pratik Chouragadey, Soumyajit Ghosh.
βSanitization-Driven, Adversarial-Informed Framework for Network Anomaly Detection.β
Accepted at: eNergetics 2025 (Virtual), Nov 24β25, 2025.
Proceedings to appear in the eNergetics 2025 Digital Archive (Zenodo Β· Crossref Β· doiSerbia). International Conference Publication
- IEEE Robotics and Automation Society (RAS) β Student Chapter Official Position Holder
IEEE PES MITS Student Chapter, Gwalior
Jan 2024 β Dec 2025
- Designed, developed, and maintained the official IEEE PES MITS Student Chapter website using WordPress.
- Improved page load performance by 30% through optimization techniques (caching, image optimization, and plugin management).
- Implemented effective SEO strategies, resulting in a 200% increase in organic traffic within 6 months.
- Managed regular content updates, applied security patches, and ensured SSL/TLS integration for secure browsing.
- Collaborated with the chapter team to keep the website aligned with events, announcements, and IEEE standards.
- Strengthening Spring Boot backend skills
- Exploring AI/ML + system integration
- Working with Raspberry Pi & image processing
- Improving understanding of network protocols & debugging
- Become a strong backend / system-oriented engineer
- Build AI-powered backend systems
- Work on network-aware and performance-critical applications
- Grow into system design & distributed systems
- π₯ CGPA (7.78)
- π Smart India Hackathon β Team Lead (Internal Round Qualified)
Research / Technical Intern β IIT Delhi
- Worked on system-level and technical problem-solving
- Exposure to research-oriented development and experimentation
- GitHub: https://github.com/your-github
- LinkedIn: https://www.linkedin.com/in/your-linkedin
- Email: yogeshsanodiya59@gmail.com
