Syed Saad Ur Rahman

Syed Saad Ur Rahman

Computer Science Student | Full-Stack Developer | AI-Powered Web & SaaS Solutions


About

I am a Computer Science student and freelance developer focused on building modern websites, web applications, SaaS platforms, and AI-powered solutions. I work with businesses and startups to create scalable digital products that improve operations, customer engagement, and online presence. My interests include full-stack development, artificial intelligence, cloud technologies, automation, and product development. I continuously explore new technologies and leverage AI tools to accelerate development while maintaining high-quality standards. I am currently expanding my experience in software engineering, SaaS development, mobile applications, and digital business solutions.

Skills
TypeScript
JavaScript
Python
Java
React
Next.js
Firebase
Google Cloud
Docker
Vertex AI
Gemini
CI/CD
RAG
Projects

Norn

Open-source, local-first persistent memory server for AI assistants over MCP, published on npm. Stores memories in SQLite with sqlite-vec and runs embeddings and NLI-based conflict detection on-device. Recall blends 70% semantic similarity with 30% recency. Includes a Next.js dashboard with a live SSE view. Conflict detection scored 95% precision and 100% recall on a 32-pair test set.

Node.js
SQLite
sqlite-vec
Transformers.js
Next.js
MCP

TenderIQ

Seven-agent pipeline that evaluates procurement bids against tender documents. A Pydantic schema forces every agent output to include a page number and verbatim source quote, and the orchestrator rejects and retries uncited answers. Flags a bid for human review when agents disagree. Built at the OpenAI x Outskill Agentathon.

FastAPI
Google Cloud Run
Gemini 2.5 Pro (Vertex AI)
Next.js 15
Supabase (RLS)
Pydantic

Van Lavino

Multi-tenant restaurant and café SaaS with QR table ordering, a real-time kitchen dashboard, four user roles and tenant isolation through Supabase row-level security. Razorpay payments with HMAC signature verification.

CrackedAI

AI placement-prep platform that analyses a job description, builds a personalised prep roadmap, and runs adaptive quizzes and AI mock interviews. The voice coach streams over the Gemini Live API through a WebSocket proxy, with diagrams drawn in sync with the audio.

Education

B.E in Computer Science Engineering

Neil Gogte Institute Of Technology · 7.6

Jul 2024 to Jun 2027

Diploma in Computer Science Engineering

Pallavi Engineering College · 7.68

Oct 2021 to Jun 2024
Syed Saad Ur Rahman · DevFest Hyderabad 2026