Kartik Sonawane

About

B.Tech Computer Engineering undergraduate with hands-on experience in full-stack development, IoT, cloud computing, cybersecurity, and machine learning. Proficient in Java, Python, React.js, Node.js, REST APIs, and database management, with industry-recognized certifications from AWS, Cisco, and IBM.

Education

• Higher Secondary Certificate (HSC)
  Shree Sai Baba Junior College, Shirdi
  2021 – 2023
• Secondary School Certificate (SSC)
  Chhatrapati Shambhuraje Madhyamik Vidyalaya, Pimpalwadi
  2020 – 2021
• Bachelor of Technology (B.Tech)
  Sanjivani College of Engineering, Kopargaon
  Computer Engineering · 2023

Skills

• SQL <3 months
• C <3 months
• Cloud Computing <3 months
• Express.js <3 months
• Python <3 months
• Machine Learning <3 months
• CSS3 <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• Cybersecurity <3 months
• React <3 months
• Responsive Design <3 months
• PHP <3 months
• Database Management <3 months
• API Integration Understanding <3 months
• HTML5 <3 months
• IoT <3 months
• Threat & Vulnerability Management <3 months
• Cyber Threat Intelligence <3 months
• Oracle VirtualBox (For Testing in Virtual Environments) <3 months

Tools / apps / platforms

• Amazon Web Services AWS <3 months
• Arduino IDE <3 months
• Firebase Realtime Database <3 months
• Git <3 months
• GitHub <3 months
• Kali Linux <3 months
• Linux <3 months
• Microsoft Power BI <3 months
• Microsoft Windows <3 months
• MongoDB <3 months
• MySQL <3 months
• Postman <3 months
• SQLite <3 months
• Tinkercad <3 months
• VS Code <3 months

Projects

• Health Fitness Tracker Web Application
  HTML5, CSS3, JavaScript

  Developed a responsive web application designed for monitoring personal health, fitness metrics, and user progress.

• IoT-Based Air Humidity Monitoring and Controlling System
  ESP8266, Sensors, Cloud, IoT

  Designed and built a remotely operated humidity and temperature tracking system using an ESP8266 microcontroller and cloud platforms. Integrated hardware sensors for real-time environmental monitoring, automated threshold control, and cloud-based alert notifications.

• AI-Based Student Performance Predictor
  Node.js, Express.js, JavaScript, SQLite, JWT, Machine Learning

  Engineered a full-stack Machine Learning application with JWT authentication, achieving 92.5% prediction accuracy for student marks and pass probability. Built an interactive analytics dashboard that automated prediction workflows and improved decision-making efficiency by 80%.