Suhas S
Computer Science undergraduate with experience in full-stack web development and basic AI-based projects. Worked on building web applications with user-friendly features and efficient data handling. Passionate about developing practical solutions, learning new technologies, and contributing effectively to real-world projects while growing as a software developer.
Experience
Intern
CSIR - National Aerospace Laboratories (NAL)
Bengaluru, India
Developed a full-stack Network Infrastructure Monitoring System using HTML, CSS, Java Script, PHP, Flask, Postgre SQL, and Nginx, enabling centralized monitoring and management of 400+ network devices across the organizational network. Implemented 10+ dashboard modules and features, including device monitoring, management devices, live/unknown devices, search, filtering, analytics, pie charts, and secure deployment, improving real-time network visibility for authorized users. Deployed and configured the application on Nginx server with a secure separated frontend-backend architecture, ensuring system reliability and compliance with secure access standards.
Education
Maharaja Institute of Technology, Mysuru
Bachelor of Engineering
CGPA: 8.7
Marimallappa pre-University College
PCMB
Percentage: 85%
Skills
PythonJavaScriptSQLHTMLCSSVS CodeGitGithubPowerBIReact.jsNode.jsExpress.jsPostgreMongoDBREST APIsTailwind CSSLeadershipTeamworkEnglishKannada
PROJECTS
An IOT based automated greenhouse monitoring system with security management
Dec 2025
Developed an IoT-based automated greenhouse monitoring system integrating 5+ sensors and smart modules using ESP32, Blynk Cloud, and Telegram Bot for real-time monitoring of temperature, humidity, soil moisture, and intrusion detection. Data is securely transmitted through the Blynk platform with user authentication, and real-time alerts are sent via a custom mobile app. Built a secure cloud-connected solution featuring real-time dashboard, encrypted communication, remote device control, and authenticated user access, enabling 24/7 monitoring and enhancing system reliability for smart agriculture application
AI-Powered Mock Interview Platform
Feb 2026
Built a full-stack AI Interview Preparation Platform with authentication, interview management, and responsive UI. Developed a full-stack AI Interview Platform using React.js, Node.js, Express.js, and MongoDB, integrating 8+ core modules including AI-powered interview generation, resume analysis, authentication, payments, and user dashboard.
Implemented 5+ production-level features, including PDF resume upload, AI-generated technical & HR interview questions, intelligent feedback, Google OAuth authentication, and Razorpay payment integration, improving user experience and platform functionality.
CERTIFICATIONS
Python Programming
Udemy
Data Analytics
Udemy
Software Engineering Job Simulation
Accenture
Data Visualization with Python
Cognitive Class