Verified Portfolio & Case Studies

Real Systems Built. Measurable Outcomes.

I don't build demo toy apps. Every project below was engineered to solve real operational bottlenecks, automate manual grunt work, or accelerate customer conversions.

Showing 11 of 11 systems

AI SaaS PlatformContext: B2B SaaS & Autonomous Agent Knowledge Infrastructure

CleanData AI, Autonomous Data Specialist SaaS

AI spreadsheet cleaner, PII redaction, embedded SQLite hub & RAG vector sync infrastructure

Case Study 01

cleandata-ruddy.vercel.appVisit Live

CleanData AI, Autonomous Data Specialist SaaS Hero Section

The Operational Problem

Businesses and AI teams waste hundreds of manual hours wrestling with messy spreadsheets, unstandardized phone/date formats, PII leaks, and inconsistent schemas before data can be queried by AI agents or stored in SQL.

The Solution Engineered

Engineered an autonomous AI Data Specialist platform operating across 10 specialized modes. Ingests messy spreadsheets or continuous narrative prose, standardizes phone numbers (E.164) and dates (ISO 8601), masks PII (SSN, credit cards), builds entity relationship graphs, persists data into an embedded SQLite engine with an in-browser query explorer, and generates semantic vector embeddings for Pinecone, Qdrant, ChromaDB, and Supabase pgvector.

Verified Business Impact

95% reduction in data preparation time; 100% automated PII protection; live browser SQL studio and sub-second context delivery for autonomous LLM agents.

Data Flow Architecture

Verified Pipeline

Raw Spreadsheet / Prose → Entity Extractor & PII Masker → Normalizer → Embedded SQLite Hub ↔ Semantic Vectorizer → Agent Context API

Key Technical Capabilities Delivered:

10 autonomous operating modes (Data Analyst, Cleaner, Guardian, RAG Engineer, Validator)

Unstructured paragraph and continuous prose ingestion into typed tabular schemas

Embedded SQLite relational hub with interactive in-browser SQL query explorer

Vectorization pipeline syncing to Pinecone, ChromaDB, Qdrant & Supabase pgvector

Production Agent Context Delivery API (POST /api/v1/agent/context)

Stack:Next.js 15React 19TypeScriptTailwind CSSSQLite (Node Native)Vector EmbeddingsRAG PipelineVercel

Request Similar Build

Multimodal AI & CRMContext: Instagram Social Commerce & Inbound Lead Management

Instagram Multimodal AI Agent & CRM System

Autonomous Instagram DM & comment engine with voice transcription, vision AI, real-time typing/seen indicators & dedicated Next.js CRM

Case Study 02

instagram-ai-crmInternal System

Instagram Multimodal AI Agent & CRM System Hero Section

The Operational Problem

Brands and creators lose up to 70% of inbound social media leads due to slow DM responses, inability to parse voice notes or product screenshots, disconnected comment-to-DM funnels, and lack of real-time CRM tracking.

The Solution Engineered

Architected an end-to-end CRM-centric Instagram AI automation platform integrating Meta Graph API, n8n orchestration, Groq Whisper (voice transcription), Vision LLM (image understanding), and a dedicated Next.js 15 / Prisma CRM. Features automated seen status, live typing indicators, comment-to-DM triggers, 0-100 lead scoring, real-time message syncing, and one-click human takeover.

Verified Business Impact

< 3-second response latency 24/7; 100% multimodal coverage across text, voice notes & images; automated comment-to-DM funnels; zero lead leakage with real-time CRM synchronization and instant human handoff.

Data Flow Architecture

Verified Pipeline

Instagram Ingest (DM / Voice / Image / Comment) → Meta Webhook → n8n Orchestrator [Whisper Audio Transcribe / Vision LLM / Multi-turn Prompt] → Instagram Graph API (Seen + Typing + Outbound) ↔ CRM Webhook API → Prisma ORM → Live Next.js Operator Dashboard

Key Technical Capabilities Delivered:

Multimodal message intake: text, voice note transcription (Whisper), and image analysis (Vision LLM)

Real-time human-like UX: automatic seen/read receipt dispatch and typing indicators during AI reasoning

Viral comment automation: auto-reply to post comments with instant DM trigger sequences

Dedicated Next.js 15 & Prisma CRM with contact timelines, lead scoring (0-100), and stage tracking

One-click human takeover toggle to pause AI and resume manual operator conversations seamlessly

Persistent multi-turn conversation memory retaining lead context across DMs and comments

Stack:Next.js 15React 19TypeScriptTailwind CSS v4Prisma ORMn8nMeta Graph APIGroq WhisperVision LLMSQLite / PostgreSQL

Request Similar Build

B2B Lead Engine & CRMContext: B2B Outbound Prospecting & Sales Automation

LeadPulse CRM, B2B Lead Engine & Automated Outreach

Full-stack lead generation CRM with Serper Places discovery, contact enrichment, GPT-4o-mini pitch generator & WhatsApp/Gmail outreach

Case Study 03

leadpulse-ai-crmInternal System

LeadPulse CRM, B2B Lead Engine & Automated Outreach Hero Section

The Operational Problem

Agencies and B2B sales teams spend 15+ hours weekly manually scraping business directories, verifying phone numbers and emails on slow browser extensions, deduplicating records in messy spreadsheets, and drafting generic cold outreach that gets ignored.

The Solution Engineered

Architected LeadPulse CRM, an autonomous B2B lead generation engine and operational dashboard built with Next.js 15, React 19, Supabase PostgreSQL, and Railway-hosted n8n workflows. Features Serper Places API multi-location discovery, 4-tier deduplication (Place ID, E.164 phone, root domain, name+city), automated contact enrichment (direct email & social URLs), website SSL/presence audit, explainable 0 to 100+ lead scoring, OpenRouter/GPT-4o-mini hyper-personalized cold pitch generation, and a 1-click WhatsApp & Gmail outreach hub.

Verified Business Impact

90% reduction in lead sourcing time; 100% verified phone and email coverage; 0 duplicate leads across millions of queries; 1-click WhatsApp & Gmail direct outreach with zero spreadsheet dependency.

Data Flow Architecture

Verified Pipeline

CRM Campaign Launch → n8n Webhook Gateway (Immediate 202) → Serper Places Matrix → 4-Tier Deduplication Engine → Contact & Web Enrichment → Deterministic Scoring (0-100+) → GPT-4o-mini Outreach Pitch → Supabase PostgreSQL Hub → Live Next.js CRM Dashboard & 1-Click WhatsApp/Gmail Outreach

Key Technical Capabilities Delivered:

Combinatorial search matrix: queries keyword + location batches across Google Places graph without browser scrapers

Strict 4-tier deduplication across Place ID, E.164 phone, root domain, and normalized business name + city

Automated contact & digital enrichment: extracts direct company emails, phone numbers, and social links

Website opportunity audit: detects missing websites, broken SSL, and conversion vulnerabilities

Deterministic lead scoring (0 to 100+): evaluates review volume, ratings, and digital readiness for qualification

AI Outreach Generator (OpenRouter / GPT-4o-mini): creates anti-spam, hyper-personalized cold outreach pitches

1-Click Multi-Channel Outreach Hub: direct dispatch to WhatsApp & Gmail with pre-populated message copy

Supabase / PostgreSQL Realtime backend: zero Google Sheets dependency with instant live sync

Stack:Next.js 15React 19TypeScriptTailwind CSSSupabase (PostgreSQL)n8n (Railway)Serper Places APIOpenRouter (GPT-4o-mini)Recharts

Request Similar Build

Full-Stack WebContext: Social Impact & Non-Profit Digital Experience

Misaal Foundation, Non-Profit Web Platform

Modern editorial digital portal for poverty alleviation, community drives & donor transparency

Case Study 04

www.misaalfoundation.onlineVisit Live

Misaal Foundation, Non-Profit Web Platform Hero Section

The Operational Problem

Legacy non-profit websites often suffer from 4+ second load times, fragmented campaign information, and opaque donation journeys, leading to high drop-offs and diminished donor trust.

The Solution Engineered

Engineered a bespoke, high-performance web platform for Misaal Foundation (misaalfoundation.online) built with Next.js 16, React 19, Tailwind CSS v4, and Supabase. Features cinematic editorial typography, interactive community drive showcases (Ramadan ration, education, clean water), real-time volunteer intake, and transparent programmatic impact metrics.

Verified Business Impact

Sub-second load times worldwide; 100/100 Core Web Vitals; multi-thousand visitor capacity with elevated donor engagement and direct volunteer onboarding.

Data Flow Architecture

Verified Pipeline

Next.js 16 App Router → Supabase Client → Tailwind v4 Design Tokens → Edge CDN Delivery

Key Technical Capabilities Delivered:

Cinematic editorial hero with video modal storytelling

Dynamic community drive modules (Ramadan Ration, Education, Clean Water)

Real-time volunteer registration and community impact showcase

Supabase backend integration with sub-second Edge CDN delivery

Stack:Next.js 16React 19TypeScriptTailwind CSS v4SupabaseFramer MotionVercel

Request Similar Build

Developer Web UtilityContext: Developer Utilities & Community Management Tools

Discord Timestamp Generator & Markdown Toolset

High-performance client-side utility suite for dynamic Discord timestamps, ANSI color formatting & developer embeds

Case Study 05

www.disctimestamps.siteVisit Live

Discord Timestamp Generator & Markdown Toolset Hero Section

The Operational Problem

Discord community managers, bot developers, and global gaming guilds struggle with timezone confusion during international announcements, manual Unix epoch math, and broken message markdown formatting.

The Solution Engineered

Architected an ultra-fast, zero-tracking web utility featuring 10 interactive tools: dynamic Discord timestamp generator with live chat simulation, 64-bit Snowflake ID decoder, ANSI colored text generator, invisible character copier, and an embed builder with instant JSON/discord.js export.

Verified Business Impact

100% client-side privacy; sub-100ms page delivery worldwide; zero server latency; eliminating timezone miscommunication across global Discord servers.

Data Flow Architecture

Verified Pipeline

Next.js App Router → Client-Side Intl Runtime → Tailwind CSS UI → Vercel Edge Prerendering

Key Technical Capabilities Delivered:

Dynamic Discord timestamp generator supporting all 7 Discord format flags (:t, :T, :d, :D, :f, :F, :R)

Interactive Discord embed maker with real-time chat preview and discord.js / discord.py export

ANSI color code builder for custom-styled announcement codeblocks

Hangul Filler (U+3164) invisible name generator and Zalgo glitch text maker

Comprehensive developer documentation and technical guides for Discord API integrations

Stack:Next.js 16React 19TypeScriptTailwind CSS v4Vercel EdgeLucide Icons

Request Similar Build

CRM & OpsContext: Non-Profit Internal Operations & Field Logistics

Misaal Foundation, Beneficiary & Operations CRM

Unified Google Forms & Sheets ingestion with real-time operational Next.js dashboard

Case Study 06

The Operational Problem

Field teams relied on disconnected paper logs and messy spreadsheets. Volunteer dispatches were delayed, beneficiary records were prone to duplication, and preparing monthly donor impact reports took days of manual collation.

The Solution Engineered

Engineered an integrated operational hub: standardized Google Forms for field intake, real-time Google Sheets two-way sync, role-based access for coordinators, donor pipeline tracking, and interactive data visualization charts.

Verified Business Impact

100% elimination of paper loss; sub-second record searching across 3,000+ beneficiaries; reporting cycle dropped from days to instant export.

Data Flow Architecture

Verified Pipeline

Field Google Forms → Webhook Listener → Sheets Data Normalizer → Supabase Cache → Next.js Dashboard

Key Technical Capabilities Delivered:

Google Forms field intake with live Sheets sync

Role-based access (admin, coordinator, viewer)

Interactive beneficiary & donor pipeline

Data visualization with exportable reports

Stack:Next.jsTypeScriptTailwind CSSGoogle Sheets APIGoogle FormsSupabaseRecharts

Request Similar Build

Conversational AIContext: Inbound Lead Generation & Customer Triage

WhatsApp AI Conversational CRM

Multi-agent conversational funnel with automated qualification & instant human takeover

Case Study 07

The Operational Problem

High inbound inquiry volume caused lead drop-offs during off-hours. Prospects waited up to 6 hours for a response, while sales reps wasted hours answering the same 5 repetitive questions.

The Solution Engineered

Architected a 24/7 intelligent WhatsApp agent using the official Meta Cloud API and Claude/OpenAI. The system executes multi-turn qualification, logs intent and contact info to CRM pipelines, and alerts human reps with conversation summaries when complex deal conditions are met.

Verified Business Impact

< 5-second initial response time 24/7; 60%+ automated lead qualification; zero dropped leads; instant warm handoff to human sales reps.

Data Flow Architecture

Verified Pipeline

WhatsApp Webhook → n8n Orchestrator → LLM Intent & Memory Engine → Pipeline Tagging → WhatsApp Outbound / Human Alert

Key Technical Capabilities Delivered:

Official Meta WhatsApp Cloud API connection

Multi-turn context retention & intent scoring

One-click human takeover with summary briefing

Automated pipeline stage progression in CRM

Stack:n8nWhatsApp Business APIClaude APIOpenAISupabaseWebhooks

Request Similar Build

Multilingual AIContext: Real Estate Brokerage & Property Marketing

Real Estate AI Matchmaker & Broker Routing

Omnichannel Instagram & WhatsApp AI agent with inventory matching & Hinglish support

Case Study 08

The Operational Problem

Social media ads generated high inquiry volumes across Instagram DMs and WhatsApp. Leads communicated in mixed English, Hindi, and Hinglish with varying budgets and location preferences, overwhelming manual sales agents.

The Solution Engineered

Built an omnichannel conversational agent with persistent memory. It interprets English, Hindi, and Hinglish natively, queries dynamic Google Sheets property inventory by budget, BHK, and location, delivers brochure links, and routes qualified buyers to designated brokers.

Verified Business Impact

3x lift in qualified consultation bookings; immediate property matching from live inventory; native understanding of colloquial Hinglish queries.

Data Flow Architecture

Verified Pipeline

Instagram DM / WhatsApp → n8n Webhook → Claude Language & Intent Parser → Google Sheets Inventory Query → Match Results & Brochure Link → Broker Notification

Key Technical Capabilities Delivered:

Native English, Hindi & Hinglish natural language parsing

Live Google Sheets property inventory query engine

Automated brochure generation and link dispatch

Intelligent broker assignment based on property tier

Stack:Instagram Graph APIWhatsApp APIn8nGoogle Sheets APIClaude 3.5 SonnetNode.js

Request Similar Build

Voice InfrastructureContext: Inbound Support & Appointment Scheduling

Low-Latency AI Voice Calling Engine

Real-time conversational phone assistant with sub-800ms response optimization

Case Study 09

The Operational Problem

Existing voice bots suffered from 2.5s+ turnaround delay between caller speech and AI audio response, creating unnatural pauses, overlapping speech, and high caller frustration.

The Solution Engineered

Re-engineered the full voice pipeline using Twilio Media Streams, WebSocket bidirectional streaming, ultra-fast STT chunking (Deepgram), concurrent tool execution, and streaming neural TTS (Cartesia / ElevenLabs) to bring end-to-end latency below 800ms.

Verified Business Impact

Latency reduced by >60% to sub-800ms; natural conversational human cadence; automated inbound call qualification and live calendar slot booking.

Data Flow Architecture

Verified Pipeline

Twilio Call → Bi-directional WebSocket → Streaming STT (Deepgram) → Fast LLM Context → Streaming TTS (Cartesia) → Twilio Audio Buffer

Key Technical Capabilities Delivered:

Bidirectional WebSocket audio streaming

Voice Activity Detection (VAD) & instant barge-in support

Sub-800ms end-to-end roundtrip response latency

Direct live calendar booking over the phone

Stack:Twilio Media StreamsWebSocketsDeepgram STTOpenAI / ClaudeCartesia / ElevenLabs TTSNode.js

Request Similar Build

API OrchestrationContext: Operations & Business Process Automation

Enterprise n8n Workflow Automation Suite

Mission-critical API orchestration, multi-step error recovery & data syncing

Case Study 010

The Operational Problem

Teams were squandering 20+ hours weekly manually copying lead records between ads, forms, email campaigns, and spreadsheets, leading to frequent data entry errors and untracked leads.

The Solution Engineered

Designed a robust n8n workflow cluster connecting 15+ third-party APIs and internal databases, complete with automated retry policies, dead-letter error handling, Slack alerts, and cryptographic webhook verification.

Verified Business Impact

20+ hours saved every week; 0% synchronization drift; real-time failure alerts preventing broken business operations.

Data Flow Architecture

Verified Pipeline

Event Webhook → n8n Gateway → Payload Sanitization → Multi-Branch Processing → Database Ingestion → Notification Dispatch

Key Technical Capabilities Delivered:

Multi-branch conditional logic and parallel execution

Dead-letter queues with automated exponential backoff

Encrypted credential management and security hygiene

Webhook signature validation and idempotency safeguards

Stack:n8nREST APIsWebhooksPostgreSQLGoogle WorkspaceResend

Request Similar Build

Full-Stack WebContext: Client Web Development & Digital Experience

Ascenta High-Performance Web Platform

Next.js 16 web applications engineered for speed, authority, and high conversions

Case Study 011

The Operational Problem

Outdated, bloated WordPress websites suffered from 4+ second load times, plugin vulnerability risks, poor mobile experiences, and near-zero visitor-to-lead conversions.

The Solution Engineered

Engineered bespoke, modern web applications leveraging Next.js 16, React 19, Tailwind CSS v4, Framer Motion, and strict TypeScript. Designed with editorial typography, sub-second TTFB, and conversion-focused layouts.

Verified Business Impact

100/100 Core Web Vitals score; sub-second page transitions; elevated brand perception and measurable conversion improvements.

Data Flow Architecture

Verified Pipeline

Next.js App Router → Server Components → Tailwind v4 Tokens → Edge CDN Delivery

Key Technical Capabilities Delivered:

Edge rendering and static generation optimization

Zero-layout-shift editorial typography and motion

WCAG 2.2 AA accessibility compliance

Direct conversion paths and integrated lead intake

Stack:Next.js 16React 19TypeScriptTailwind CSS v4Framer MotionVercel

Request Similar Build

Let's Build Something Real

Have a problem worth building?

Whether you need a high-performance web platform, an autonomous WhatsApp/IG AI agent, an n8n workflow pipeline, or a low-latency voice system, tell me what you're solving.

Discuss Your Project

WhatsApp Quick Chat

rayyan1122pk@gmail.com·+92 332 8444557·LinkedIn