WALEED.
SECTION 02/ Production Case Studies

Engineered Systems & Technical Architectures

An asymmetric editorial archive of full-stack web platforms, AI evaluation engines, and database-driven applications by Muhammad Waleed (Waleed KN).

FILTER //
NO. 01/ AI / ML
2026FEATURED
PLATE 01RAG Document Q&A — AI Assistant with Cited Answers
[ SYSTEM PREVIEW // 01 ]PRODUCTION BUILD
PGVECTOR INDEXGEMINI EMBED
CHUNK #14 (P. 04)0.89 SIM
CHUNK #22 (P. 09)0.84 SIM
THRESHOLD GUARDACTIVE
CITED SYNTHESIS // GROQCI + 30+ TESTS

Verified answer synthesized from uploaded PDF context with strict page-level source attribution and automatic model fallback.

[CITATION: PAGE 04][CITATION: PAGE 09]
VERIFIED ARCHITECTUREWALEED // 01

RAG Document Q&A — AI Assistant with Cited Answers

Page-level cited document Q&A with semantic search, similarity thresholding, and $0 infrastructure cost.

Built and deployed a document Q&A app that returns page-level cited answers and declines out-of-scope questions through semantic search with a similarity threshold, using pgvector, Gemini embeddings, and Groq at $0 infrastructure cost.

  • —Built and deployed a document Q&A app that returns page-level cited answers and declines out-of-scope questions, through semantic search with a similarity threshold, using pgvector, Gemini embeddings, and Groq at $0 infrastructure cost
  • —Kept the app reliable within free-tier API limits through resumable batch embedding, automatic model fallback, and Postgres-backed rate limiting (3 questions per minute per visitor), using Next.js route handlers and Neon
  • —Shipped with 30+ unit tests, an evaluation harness that scores answer correctness, citation accuracy, and refusals, and CI on GitHub Actions (lint, type-check, tests, build, Docker image)
Next.jsTypeScriptPostgreSQL (pgvector)GeminiGroqDockerGitHub Actions
Live DemoSource Code
NO. 02/ Full-Stack
2026FEATURED
PLATE 02RideShare — Real-Time Ride-Hailing Platform
[ SYSTEM PREVIEW // 02 ]PRODUCTION BUILD
REDIS GEOSPATIAL + WEBSOCKETLIVE STATE MACHINE
REQUESTED→ACCEPTED→IN PROGRESS→PAID
VERIFIED ARCHITECTUREWALEED // 02

RideShare — Real-Time Ride-Hailing Platform

Real-time rider-driver matching via Redis geospatial index, WebSockets, and a 5-state ride lifecycle.

Built real-time rider-driver matching through a Redis geospatial index and WebSocket live location and ride-status updates in a full-stack Next.js platform with a server-validated 5-state ride lifecycle.

  • —Built real-time rider-driver matching through a Redis geospatial index and WebSocket live location and ride-status updates in a full-stack Next.js platform
  • —Designed a server-validated 5-state ride lifecycle (requested → accepted → in progress → completed → paid) using Mapbox for geocoding/routing and Stripe test-mode payments
Next.jsWebSocketRedis (geospatial)MapboxStripe (test mode)JWT
Live DemoSource Code
NO. 03/ AI / ML
2026FEATURED
PLATE 03MCQForge — Automated Document-to-MCQ Assessment Platform
[ SYSTEM PREVIEW // 03 ]PRODUCTION BUILD
PDF.JS + MAMMOTH + OCR
Multi-Column MCQ & Key Extractor
CONFIDENCE + DEDUP
UPSTASH REDIS LUA113+ VITEST + E2E
Session-Isolated Review & Timed Exam Engine
STRICT ZOD SCHEMA VALIDATION
VERIFIED ARCHITECTUREWALEED // 03

MCQForge — Automated Document-to-MCQ Assessment Platform

Full-stack assessment platform extracting MCQs and answer keys from multi-column PDF, DOCX, and TXT study documents.

Engineered a full-stack assessment platform that extracts multiple-choice questions and answer keys from multi-column PDF, DOCX, and TXT study documents with OCR fallback, confidence scoring, and duplicate detection. Built session-isolated question review and timed/untimed exam workflows backed by Upstash Redis atomic Lua scripts, strict Zod schema validation, 113+ Vitest unit tests, and Playwright E2E tests.

  • —Engineered a full-stack assessment platform that extracts multiple-choice questions and answer keys from multi-column PDF, DOCX, and TXT study documents with OCR fallback, confidence scoring, and duplicate detection
  • —Built session-isolated question review and timed/untimed exam workflows backed by Upstash Redis atomic Lua scripts, strict Zod schema validation, 113+ Vitest unit tests, and Playwright E2E tests
Next.jsTypeScriptUpstash Redis (Lua)PDF.jsMammothZodVitestPlaywright
Live DemoSource Code
NO. 04/ AI / ML
2026FEATURED
PLATE 04AI Cold Email Automation (n8n)
[ SYSTEM PREVIEW // 04 ]PRODUCTION BUILD
AI Cold Email Automation n8n workflow: Google Sheets leads, Groq research, AI agent drafting and quality check
VERIFIED ARCHITECTUREWALEED // 04

AI Cold Email Automation (n8n)

Two human-in-the-loop n8n workflows that research company websites with Groq, draft quality-checked cold emails, and dispatch approved sends.

Two n8n workflows that draft and send personalised cold emails with a human in the loop. The drafting workflow reads leads from Google Sheets, skips invalid and duplicate leads, researches each company's website with an AI model (Groq), writes a short email, and runs a rule-based quality check. Drafts are saved for manual review. The sending workflow sends only approved drafts, after checking an unsubscribe list, a pause switch and a daily limit, then logs every send.

  • —Human approval before any email is sent
  • —Duplicate and unsubscribe protection
  • —Fail-safe pause switch
  • —Quality checker for greeting, length, banned words and invented facts
  • —Bad websites are skipped without stopping the run
n8nGroq (openai/gpt-oss-20b)Google SheetsGmailJavaScript
LinkedIn PostSource Code
NO. 05/ AI / ML
2026FEATURED
PLATE 05AI Cover Letter Generator & AI Resume Reviewer
[ SYSTEM PREVIEW // 05 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // AI / ML
AI Cover Letter Generator & AI Resume Reviewer
VERIFIED ARCHITECTUREWALEED // 05

AI Cover Letter Generator & AI Resume Reviewer

AI tools generating tailored cover letters and structured resume feedback (score, strengths, weaknesses).

Built AI tools that generate tailored cover letters and structured resume feedback (score, strengths, weaknesses) using Next.js, TypeScript, and the Groq API.

  • —Built AI tools that generate tailored cover letters and structured resume feedback (score, strengths, weaknesses) using the Groq API
  • —Low-latency rubric evaluation and role-aligned cover letter synthesis
Next.jsTypeScriptGroq API
Source Code
NO. 06/ Full-Stack
2026
PLATE 06E-Commerce Platform
[ SYSTEM PREVIEW // 06 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // Full-Stack
E-Commerce Platform
VERIFIED ARCHITECTUREWALEED // 06

E-Commerce Platform

Full-stack e-commerce platform with authentication, role-based access, cart, and order management.

Built a full-stack e-commerce platform with authentication, role-based access, cart, and order management, secured with JWT sessions, bcrypt hashing, and a protected admin dashboard using Prisma ORM.

  • —Built a full-stack e-commerce platform with authentication, role-based access, cart, and order management
  • —Secured it with JWT sessions, bcrypt hashing, and a protected admin dashboard, using Prisma ORM for data management
Next.jsPostgreSQLAuth.jsPrisma
Live DemoSource Code
NO. 07/ Full-Stack
2026
PLATE 07POS System
[ SYSTEM PREVIEW // 07 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // Full-Stack
POS System
VERIFIED ARCHITECTUREWALEED // 07

POS System

Point-of-sale web system for retail transactions and inventory tracking.

A Next.js point-of-sale application using PostgreSQL and Prisma ORM to manage commercial transactions, product stock, and operational billing workflows.

  • —Transaction-focused checkout and receipt workflow
  • —Relational inventory and sales persistence with PostgreSQL and Prisma
  • —Built for commercial retail operations
Next.jsPostgreSQLPrisma
Source Code
NO. 08/ Web Applications
2025
PLATE 08Movie Search App
[ SYSTEM PREVIEW // 08 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // Web Applications
Movie Search App
VERIFIED ARCHITECTUREWALEED // 08

Movie Search App

Media discovery application integrated with the TMDB REST API.

A responsive movie discovery application leveraging Next.js and the TMDB API to search titles, inspect ratings, and browse catalog metadata.

  • —Real-time movie search and filtering via TMDB API
  • —Fast client and server rendering patterns in Next.js
  • —Responsive media catalog layout
Next.jsTMDB API
Live Demo
NO. 09/ Web Applications
2025
PLATE 09Recipe Finder
[ SYSTEM PREVIEW // 09 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // Web Applications
Recipe Finder
VERIFIED ARCHITECTUREWALEED // 09

Recipe Finder

Ingredient and dish search platform powered by the Spoonacular API.

A recipe discovery application built with Next.js and TypeScript that queries the Spoonacular API to surface cooking instructions and nutritional breakdowns.

  • —External REST API integration with typed response handling
  • —Ingredient-based search and detailed recipe views
Next.jsTypeScriptSpoonacular API
Source Code
NO. 10/ Web Applications
2025
PLATE 10GitHub Profile Finder
[ SYSTEM PREVIEW // 10 ]PRODUCTION BUILD
SYSTEM ARCHITECTURE // Web Applications
GitHub Profile Finder
VERIFIED ARCHITECTUREWALEED // 10

GitHub Profile Finder

Developer profile and repository explorer built on the GitHub REST API.

A developer search utility built with Next.js and the GitHub API to inspect public engineering profiles, repository metrics, and contribution activity.

  • —Live querying of public GitHub user profiles and repositories
  • —Clean presentation of repository stars, languages, and profile metadata
Next.jsGitHub API
Source Code