I am Jeffin Sam George, a graduate with a Master of Computer Application from Saintgits College of Engineering (Autonomous) in Kottayam. Currently, I am honing my skills as a Software Developer Intern at the International Centre for Free and Open Source Solutions in Trivandrum. In this role, I am gaining practical experience in utilizing technology for effective development, which has allowed me to deepen my understanding of software development and its impact on society.
Skills
Career Graph
Work Experience
Software Developer Intern
- ICFOSS
I developed and optimized the frontend for the Malayalam Dialect Map utilizing React and Leaflet, which resulted in a 20% improvement in page load speed and a 30% reduction in rendering time. Additionally, I integrated backend APIs with Redux and Axios for the Student Management Portal, enhancing data handling efficiency by 40%. Furthermore, I designed and implemented an Attendance Portal using Django, incorporating an Excel export feature to facilitate efficient data reporting and analysis.
2024-02-01
-
Present
Trivandrum, Kerala
Software Developer Intern
- Camerinfolks
Designed and implemented an intuitive user interface for the Pet Shop Management project, successfully reducing onboarding time by 15%. This initiative enabled over 20 retail shops to enhance their inventory management processes. Additionally, I developed and integrated APIs utilizing ExpressJS and MongoDB to ensure seamless functionality and data management.
2023-07-01
-
2023-08-01
Ernakulam, Kerala
Education
Master of Computer Application
2022-08-01
-
2024-06-01
Saintgits College of Engineering (Autonomous), Kottayam
Bachelor of Computer Application
2018-08-01
-
2021-06-01
St Thomas College, Konni
Projects
AstroLense
Developed a web application utilizing React and Django for the detection of exoplanets, offering users real-time astronomical data and predictions with an accuracy of 85%, achieved through the implementation of a Random Forest Algorithm. I integrated NASA's exoplanet data API and designed a system for generating light curves from FITS files.
Weather Wise
Developed an IoT-based smart irrigation system that accurately predicts irrigation needs by analyzing environmental data. This innovative approach has successfully reduced water consumption by up to 25% and integrates 3-day weather forecasts to enhance crop management strategies.
Blind Helper
Developed an Android application utilizing Kotlin that aids blind individuals in detecting nearby objects with 90% accuracy. The app provides real-time voice feedback, enhancing daily navigation tasks for over 50 users, ultimately improving their independence and mobility.
Certifications
Fundamentals of Deep Learning-NVIDIA
Django Web Development-Udemy
Data Analytics with Python-NPTEL
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