Suyash Yadav SPSU - Full-Stack Developer & AI Engineer
Architecting
Intelligent
Systems.
Full-stack MERN + Next.js developer from SPSU building production-ready systems. Exploring AI integrations (RAG, LLM APIs) and shipping clean, scalable web products.
I build reliable products with fast interfaces, modular APIs, and clear system architecture that stays maintainable as complexity grows.

Suyash Yadav (CSE)
system architect
Featured Projects
Selected full-stack and AI-driven implementations.
CivicFix AI
A civic issue reporting system designed for real cities. Enables citizens to report civic problems using image and location data, while intelligently routing issues to authorities.
SYSTEM_FOCUS
- AI-assisted issue triage
- Geo-tagged, image-based reporting
- Public dashboards for transparency
Sangam
A full-stack alumni management and networking platform enabling profiles, connections, mentorship, and community engagement.
SYSTEM_FOCUS
- Profiles + alumni discovery (search / filters)
- Connection requests + mentorship scheduling
- Media uploads + secure OAuth login
Campus Core
A full-stack multi-module college platform combining attendance, timetables, academic resources, and campus news into a single unified system.
SYSTEM_FOCUS
- RESTful APIs + modular architecture
- RBAC with Firebase Auth (student / faculty / admin)
- Real-time notifications + dynamic dashboard
Bloodrush
A full-stack blood delivery and donor management platform connecting donors, hospitals, and recipients with real-time workflows.
SYSTEM_FOCUS
- Donor registration + blood inventory CRUD
- Emergency request workflows + status notifications
- Geolocation-based nearest donor matching
Aura AI
A RAG-based student mental health chatbot delivering contextual, evidence-based responses with a safety-first pipeline.
SYSTEM_FOCUS
- RAG pipeline (retrieval + grounded generation)
- Session management + knowledge base in MongoDB
- Safe messaging guidelines + crisis routing
Technical Skills
Capabilities first, tools second.
I focus on shipping complete systems with clear architecture, clean UX, and reliable backend execution. Each stack decision is mapped to product outcomes.
MERN + Next
Node + Express
Mongo + Firebase
Vercel + Git
Full-stack product engineering
- React.js
- Next.js
- TypeScript
- Tailwind CSS
- JavaScript (ES6+)
Backend systems & APIs
- Node.js
- Express.js
- REST APIs
- Firebase Auth
- RBAC workflows
Data layer & storage
- MongoDB
- Firestore
- Cloudinary
- Realtime-ready schema planning
AI feature integration
- RAG pipelines
- LLM API integration
- AI-assisted classification
- Safety-first responses
Delivery workflow
- Git / GitHub
- Vercel
- Responsive QA
- Modular code organization
Foundations
- C++
- DSA practice
- System design thinking
- Problem decomposition
Proof & Highlights
Education, build depth, and execution focus.
Education
B.Tech, Computer Science Engineering
- Strong DSA fundamentals
- Systems-first problem solving
Build Record
5 Full-stack + AI case studies
- MERN + Next.js execution
- API, auth, data, and deployment coverage
Current Focus
Internships & technical collaboration
- Open to backend / full-stack roles
- Interested in AI-integrated product systems