Hello, I'm

Abhilash KV

🚀 Innovative Mobile & Web App Developer

About Me

Who I Am

I am a passionate and dedicated computer engineering graduate currently working as a Developer at Claysys. I hold a Bachelor's degree in Computer Science from the College of Engineering Cherthala, along with a Diploma in Computer Engineering. I'm deeply interested in technology, innovation, and solving real-world problems through code.

What I Do

I specialize in developing innovative web and mobile applications. My skillset spans across IoT integrations, machine learning solutions, and modern frameworks. I stay continuously updated with emerging technologies and strive to create impactful and efficient digital solutions.

Education

Bachelor of Technology in Computer Science & Engineering

College of Engineering Cherthala (CEC)

2021 - 2024

APJ Abdul Kalam Technological University

Diploma in Computer Engineering

Government Polytechnic College, Cherthala

2018 - 2021

State Board of Technical Education, Kerala

Higher Secondary Education (Plus Two)

VRVMGHSS Vayalar

2016 - 2018

Science

Secondary School Leaving Certificate (SSLC)

VRVMGHSS Vayalar

2015 - 2016

Kerala State Education Board

Experience

Appfroms-Configuration

Claysys Technologies Pvt. Ltd.

Nov 2024 – Present

Engaged in building enterprise-level business solutions using the Claysys AppForms platform. Configured dynamic forms, managed data integration workflows, and ensured responsive UI design for internal applications.

AppForms MySQL CSS SQL Server UI Logic Responsive Design

MERN Stack Developer Intern

Futura Labs Pvt. LTD., Kochi, Kerala

May 2023 – May 2023

Developed and implemented real-world projects using the MERN stack. Explored innovative ways to visualize GitHub collaboration in classroom settings, contributing to educational technology solutions.

MERN Stack GitHub Collaboration Education Tech

Featured Projects

Deepfake Detection System

Advanced AI system using CNNs and LSTM networks for detecting deepfake videos with high accuracy, helping combat misinformation in digital media.

Deep Learning CNN LSTM Computer Vision

Smart Patient Monitoring

IoT-based healthcare solution with real-time monitoring capabilities, featuring Android app integration and cloud-based data management.

IoT Android Firebase Arduino

Plant Disease Detection

Mobile application leveraging TensorFlow Lite for on-device plant disease detection, helping farmers identify crop issues early.

Machine Learning TensorFlow Lite Mobile Development Agriculture

Contact Tracer App

Android application for efficient contact tracing and patient interaction management during health emergencies.

Android SDK SQLite Firebase Healthcare

Technical Skills

Programming Languages

Java Python C/C++ JavaScript SQL HTML/CSS PHP XML

Frameworks & Libraries

React Node.js Flask Bootstrap TensorFlow Express.js jQuery

Developer Tools & Technologies

Git Docker Firebase Android Studio VS Code Arduino IDE MongoDB MySQL

Operating Systems & Platforms

Windows Linux Android AWS Heroku

Get In Touch