KC

Keerthi C

Electronics & Communication Engineering graduate · Software QA Intern

Bengaluru, Karnataka, India

@keerthi_chandrashekhar

0 followers

About

Electronics and Communication Engineering graduate with hands-on experience in software development, application testing, debugging, and system validation. Strong foundation in manual, functional, regression, API, and exploratory testing, with working knowledge of Python, JavaScript, SQL, and web technologies.

Experience

  • Project Intern
    GTRE (DRDO)
    Jul 2026 – Aug 2026

    Assisted in development and testing of a LabVIEW-based displacement measurement system. Worked with LVDT sensors and stepper motor for system integration and calibration. Supported system testing, troubleshooting, validation, and technical documentation under the guidance of senior engineers.

  • Digital Marketing & SEO Intern
    Edutainer India
    Apr 2026 – May 2026

    Assisted in implementing SEO strategies to improve website visibility and search rankings. Created and managed digital content while supporting social media marketing and campaign execution. Monitored campaign performance and prepared reports to support marketing organization.

Education

  • Bachelor of Engineering
    Awarded by VTU
    Electronics and Communication Engineering (ECE) · Dec 2022 – Jul 2026
  • Pre-University Course
    CMR-National-PU College
    Science · 2022
  • 10th
    Poorna Prajna Education Centre
    2020

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub MongoDB Postman VS Code Arduino UNO Raspberry Pi

Languages

Fluent Fluent Comfortable using it for work.
Hindi Speak Telugu Speak English Speak Kannada Speak

Projects

  • Arduino Uno, Stepper Motor, Camera Module, Python, pyTorch (MobileNet), OpenCV

    Developed a low-cost AI-powered syringe infusion system that automates fluid delivery based on patient pain detection using a camera and a fine-tuned MobileNet model.

  • AI enhanced pothole detection System - HAL Project
    Raspberry Pi, LiDAR sensor, camera module, Python, Embedded C, CNN model, OpenCV, TensorFlow

    Designed and implemented a smart pothole detection system to support proactive road maintenance using sensor fusion of LiDAR and camera data integrated with a Raspberry Pi platform. Developed a web-based dashboard for real-time data transmission and visualization.

Courses & certifications

  • Relational Databases
  • Responsive Web Design
  • Android App Development
  • Flask
  • Python
  • QA Tester Fundamentals · ISKIMA

🏆 Achievements & awards

  • Interhouse Carrom Champion

    Multiple-time winner at school-level tournaments.

  • Qualified for second round in IEEE Young Professionals hackathon

⚽ Extracurricular activities

  • ETA Club Event Coordinator

    Managed and hosted technical events and workshops at the departmental level.

  • TAQ Club Member

    Active participant in technical quizzes and group competitions.

  • Badminton

    Active player.

  • NSS Volunteer

    Contributed to social initiatives through volunteering, awareness drives, and community support activities.

  • Class Representative

    Represented class in academic coordination and communication.

  • ETA Club Event Organizer

    Led planning and execution of student events.

🎯 Hobbies & interests

  • Skateboarding
  • Fashion Designing
  • Carrom
  • Art

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