const syed = {
role : "CS Undergraduate → Software Engineer & ML Engineer",
university: "SRM University, Kattankulathur, Chennai",
gpa : "9.12 / 10.0",
batch : "2023 – 2027",
domains : ["Full-Stack Development", "Machine Learning", "Cloud-Native Systems"],
status : "🟢 Open to SWE & AI/ML Internships",
belief : "Ship fast. Build right. Iterate always.",
};CS undergrad who builds things that go to production — not just demos. My work spans full-stack platforms with real auth flows and database design, to ML pipelines trained on real data. I care about clean architecture, performance under load, and code the next developer can actually read.
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01 — QuizPro Full-Stack Auth RBAC
Professional Online Quiz Platform |
Live →
A production-grade quiz system engineered from the ground up — not a tutorial clone. Implements full role-based access control, a real admin dashboard, and a mobile-first UI built for performance.
| Concern | Implementation |
|---|---|
| Authentication & RBAC | Supabase Auth with Admin / User role separation and protected route guards |
| Admin Control Panel | Full quiz lifecycle management — create, edit, publish, and track results |
| Frontend Architecture | React + TypeScript with Tailwind CSS; Vite for sub-second HMR |
| Deployment | Zero-downtime CI/CD via Vercel with preview deployments on every PR |
React TypeScript Tailwind CSS Vite Supabase PostgreSQL
02 — CloudDrive Full-Stack Cloud Storage ORM
Secure Cloud Storage Platform |
Live →
A real cloud storage system with JWT-based authentication, type-safe database operations via Prisma ORM, and a complete file lifecycle. Upload, preview, full-text search, soft delete, and restore.
| Concern | Implementation |
|---|---|
| Authentication | Stateless JWT with refresh token rotation and protected API routes |
| File Lifecycle | Upload → Instant Preview → Search → Soft Delete → One-click Restore |
| Database Layer | PostgreSQL + Prisma ORM for fully type-safe, migration-tracked queries |
| Frontend | Next.js App Router with server components and streaming |
Next.js TypeScript Supabase PostgreSQL Prisma ORM
03 — SkyLy Full-Stack Data Engineering FastAPI
Air Quality Intelligence Platform |
Live →
Full-stack AQI intelligence platform built around a modular, cloud-deployment-ready architecture. FastAPI backend with clean router / service / model separation. ML forecasting is a drop-in module — the pipeline is wired and waiting, no refactor required.
| Concern | Implementation |
|---|---|
| Backend Architecture | Modular FastAPI service with clean router / service / model separation |
| Data Pipeline | Ingestion → Processing → Structured storage → Live visualization |
| Frontend | Next.js + React with interactive, Tailwind-based analytics dashboards |
| Extensibility | ML forecasting hook embedded into the pipeline — ready to activate |
Python FastAPI Next.js React Tailwind CSS
04 — Pothole Detection System ML Computer Vision CNN
CNN-Based Road Surface Analysis System
End-to-end ML system for automated pothole detection from road imagery. Custom CNN architecture in TensorFlow/Keras, with a full preprocessing and data augmentation pipeline and a desktop GUI for real-time inference.
| Concern | Implementation |
|---|---|
| Model Architecture | Custom CNN built from scratch — no pretrained backbone |
| Data Pipeline | Image preprocessing + augmentation for improved generalization |
| Evaluation | Precision, Recall, F1-Score with confusion matrix visualization |
| Inference | Real-time desktop GUI for live, frame-by-frame classification |
Python TensorFlow Keras CNN Computer Vision
📄 "Intelligent Home Automation System with Weather Forecasting and Alert Integration"
Peer-reviewed paper presented at the International Symposium on Electronics & Devices (ISED 2025), hosted at National Institute of Technology, Raipur.
B.Tech — Computer Science (Information Technology)
SRM University, Kattankulathur, Chennai · Aug 2023 – May 2027 · GPA: 9.12 / 10.0
DSA · DBMS · Operating Systems · Computer Networks · Machine Learning · AI · Software Engineering
Machine Learning → Model deployment, MLOps, LLM fine-tuning
System Design → Distributed systems, caching, API design at scale
Data Engineering → ETL pipelines, stream processing, analytics infra
Cloud-Native Systems → Containerization, serverless, observability tooling
Computer Vision → Object detection, segmentation, real-time inference
Actively seeking SWE & AI/ML internship opportunities. If you're building something meaningful — I'd like to be part of it.
Engineered with intent. Deployed to production. Always improving.