@spideyashith
FreeFull Stack Android Developer & AI/ML enthusiast building practical intelligence into software.
FreeFree tier
About @spideyashith
Ashith Joswa Fernandes (GitHub: spideyashith) is a Full Stack Android Developer and M.Sc. in Software Technology candidate at St Aloysius University, Mangaluru. His work spans the MERN stack, Android (Java/Kotlin), and applied AI/ML. He has built production apps, held internships at three organizations, presented research on an AI content moderation system (SecureChat) at a national conference, and taught Android development. His notable projects include SecureChat (on-device NLP with DistilBERT for content moderation), a College Study Buddy native Android app with Firebase, and a full-stack Movie Discovery web app using TMDb API.
Key Features
Full-stack development across MERN, Android (Java/Kotlin), and AI/ML
Developed SecureChat, an on-device NLP content moderation prototype using DistilBERT
Built and deployed production MERN platform (s4holidays.com) with JWT auth and optimized MongoDB queries
Internships in research and frontend development at multiple organizations
Presented research on AI content moderation at IASAT-2026 National Conference
Conducted Android development workshops for BCA students
Experience with computer vision pipelines, SMOTE balancing, and automated image preprocessing
Pros & Cons
Pros
- Hands-on experience with production deployments and real-world applications
- Multiple internships demonstrating industry exposure
- Research presentation at a national conference shows academic rigor
- Teaches Android development, indicating strong communication skills
- Proficient across multiple stacks (MERN, Android, AI/ML)
Cons
- Limited public project visibility beyond GitHub profile; some repositories may be private or in progress
- Primarily an individual developer profile rather than a dedicated AI tool product
Best For
Building AI-powered content moderation systems for real-time screeningDeveloping full-stack web applications with authentication and role-based access controlCreating native Android apps with Firebase integrationAutomating image processing pipelines for machine learning datasetsTeaching and mentoring in Android developmentResearch and prototyping in applied AI/ML (NLP, computer vision)
FAQ
What is SecureChat?
SecureChat is an on-device NLP content moderation system presented at the IASAT-2026 National Conference. It uses a fine-tuned DistilBERT transformer for lightweight, proactive moderation with optimized inference speed.
What technologies does Ashith Fernandes use?
His tech stack includes languages (Java, Kotlin, JavaScript, Python), web (MERN, Tailwind CSS), mobile (Android with Java/Kotlin, Jetpack Compose), databases (MongoDB, Firebase), infrastructure (GitHub, Firebase), and AI/ML (Python, OpenCV, scikit-learn, DistilBERT).
Has Ashith Fernandes worked on any live products?
Yes, he architected and shipped a live MERN platform for s4holidays.com handling 20+ dynamic travel packages, with secure JWT auth and optimized performance.
What are his current projects?
He is working on extending SecureChat with a real-time moderation pipeline and migrating the Study Buddy app from Java to Jetpack Compose.