Shiaam Ganesh

About

Aspiring Software Engineer with strong foundations in Java, Python, JavaScript, and ReactJS. Experienced in building responsive web applications, integrating REST APIs, and applying machine learning concepts to practical projects.

Experience

• Internship 6.0 – AI-Enabled Network Intrusion Detection System
  Infosys Springboard
  Oct 2025 – Dec 2025

Education

• M.Tech Integrated
  Vellore Institute of Technology
  Software Engineering · 2022 – 2026
• Class XII
  Vikas Vidyashram Matric Higher Secondary School
  2021 – 2022
• Class X
  Vikas Vidyashram Matric Higher Secondary School
  2005 – 2020

Skills

• SQL <3 months
• C <3 months
• CSS <3 months
• Cloud Computing <3 months
• Computer Networks <3 months
• Data Structures <3 months
• HTML <3 months
• Python <3 months
• Software Testing <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• Streamlit <3 months
• React <3 months
• Debugging <3 months
• API Integration Understanding <3 months
• Information Security <3 months
• SDLC <3 months
• Oop <3 months
• Netbeans <3 months

Tools / apps / platforms

• Cisco Packet Tracer <3 months
• GitHub <3 months
• Google Colab <3 months
• Linux <3 months
• Microsoft Windows <3 months
• VS Code <3 months

Projects

• Predictive Analysis for Industrial Machine Maintenance
  Machine Learning, Neural Networks, Fuzzy C-Means, PCA

  Developed a predictive maintenance system achieving 95.2% accuracy. Applied Fuzzy C-Means clustering with PCA for sensor data analysis. Optimized Random Forest and Deep Neural Network models for better prediction performance. Built a real-time pipeline for failure prediction and maintenance decision-making.

• Personalized Advertisement Generation Using Multimodal AI
  Python, Generative AI, Gemini API, SpeechT5, PyTorch

  Developed an AI-powered multimodal advertisement generation system using Gemini API and SpeechT5. Implemented prompt engineering for personalized script, caption, and speech generation. Built an end-to-end pipeline integrating text generation, speech synthesis, visual retrieval, and video rendering. Automated visual content retrieval using Pexels and YouTube APIs. Achieved 96% caption synchronization accuracy with advertisement generation completed under 60 seconds.

• QueuePro – Smart Queue Management System
  React.js, Node.js, Express.js, MongoDB, Socket.io

  Developed a real-time Queue Management System to reduce customer waiting time. Implemented live queue updates and notifications using Socket.io. Built responsive frontend and backend APIs using React.js, Node.js, and Express.js. Managed queue data and tracking with MongoDB.

Courses & certifications

• TCS iON Career Edge – Interview and Job Readiness · TCS iON · 2026
• Forage – Software Engineering Job Simulation · Forage · 2025
• Infosys Springboard – Internship 6.0: AI-Enabled Network Intrusion Detection System · Infosys Springboard · 2025