Mohamed Arafath
Software Developer Intern @Ministry of Education
Technical Team Lead @DSC SRM Ramapuram
B.Tech CSE AIML @SRM Ramapuram

I'm good at

Web apps

My Journey & Milestones

Software Developer Intern

• Developed a national platform using Vite, React, and PHP to promote school-level innovation, onboarding 35,000+ schools quickly from a 700,000+ database and with a improved UI/UX.
• Implemented role-based authentication for 8 user types, built a state-wise dashboard with insights, and enabled 70,000+ users to submit projects for government funding.

• Built a Flutter-based turf booking app with Firebase integration for real-time slot booking and authentication, serving 500+ users.
• Optimized performance using Riverpod for state management and integrated PayU for secure payments with 100+ successful transactions.

• Developed a Next.js website for a college AIML cultural event, hosted via Cloudflare with Tailwind CSS, Aceternity UI, and Firestore for handling 250+ registrations.
• Handled 100,000+ visitors, integrated Cloudflare’s SMTP service for confirmation emails, ensuring secure, real-time communication and performance.

• Collaborated with 9 other GDSC across India to conduct Flutter sessions.
• Invited for GDSC Summit up as a Panelist to share my insights about Flutter.
• Actively contributed to the tech team by developing the SOS website for a college hackathon event.
• Had been in the Recruitment team of the club for 2 years.
• Had been a part of the Content Team during my First Year.

• Developed a machine learning model to classify fish species using physical features like length and weight.
• Achieved high accuracy using algorithms such as Logistic Regression and Random Forest with proper data preprocessing.
• Built a predictive model to identify potential train accidents using historical data on track, weather, and signal conditions.
• Used classification algorithms and evaluated performance using precision, recall, and F1-score.

• Designed and developed responsive web applications including a digital clock and a functional calculator using HTML, CSS, and JavaScript.
• Focused on clean UI and user-friendly interaction, enhancing front-end development skills and DOM manipulation.

• Built a chatbot integrated with a knowledge base to provide instant and relevant responses.
• Developed a disease prediction model using machine learning on symptom-based datasets.
• Created and deployed an API to serve model predictions and chatbot responses in real-time.