Tayyab Sohail Profile
Hi, 
I'm 
Tayyab Sohail 
I specialize in
Full-Stack Applications 

About Me

I’m a Full Stack Developer skilled in MERN, Next.js, the modern web, and AI & cloud technologies. With a Bachelor’s in Computer Science from FAST NUCES Islamabad, I bring 2+ years of experience across freelance and tech industries. I’m passionate about high-performance UIs and always exploring tools that help me build better, faster, smarter.

Full Stack Development

AI-Enhanced Full Stack Engineering

I build full-stack applications using frameworks like Next.js, MERN, and TypeScript, delivering responsive frontends paired with reliable backends. My focus is on performance, scalability, and solutions that have real-world impact.

AI & Generative Systems

Practical AI & Generative Systems

I develop AI-driven applications across text, image, and audio, including RAG chatbots, TTS/STT, GAN/LLM image generation, and audio synthesis. I deliver AI solutions that are production-ready and user-facing, designed to integrate seamlessly into real-world applications.

Cloud & DevOps

Scalable Cloud Systems

I build cloud-native systems using AWS, Supabase, and Firebase, ensuring reliability, fast performance, and smooth deployment at scale. My focus is on building systems that are maintainable, observable, and production-ready.

My Projects

SEOMaven

SEOMaven

AI-Powered SEO & Content Platform

A unified SEO platform that combines real-time keyword insights, AI-driven content generation, and automated rank tracking to streamline workflows and accelerate content production.

What I Did:
  • Developed a scalable AI-driven content engine using OpenRouter, enabling fast, high-quality content generation.
  • Integrated DataForSEO and Google Maps API for real-time keyword tracking and location-based insights.
  • Engineered automated workflows with Trigger.dev for bulk processing, caching, and multi-locale content management.
Impact:
  • Delivered faster content production with fully automated AI workflows.
  • Reduced keyword tracking costs by 50% through optimized batching and caching strategies.
UI/UX: Figma, Excalidraw
Frontend: Next.js, TailwindCSS, ShadCN
Backend: Supabase, PostgreSQL, Trigger.dev
APIs: OpenRouter, Data for SEO, Google Maps API
Payment: Stripe
Project Mgmt: Linear, Slack
Analytics: Posthog
Deployment: AWS EC2 + Lambda
Languages: TypeScript
UniBid

UniBid

Off-campus rentals platform.

Developed a bidding-based rental marketplace with real-time notifications, role-based dashboards, and service booking for students, parents, and landlords.

What I Did:
  • Built a WebSocket-driven real-time bidding system with <200ms updates and optimized data models for listings, bids, and notifications.
  • Developed secure role-based dashboards with server-side bid validation and a fast, responsive UI in Next.js.
Impact:
  • Supported 1,000+ concurrent users with smooth, conflict-free bid synchronization.
  • Increased user engagement through instant updates and faster dashboard performance.
UI/UX: Figma, Excalidraw
Frontend: Next.js, TailwindCSS, ShadCN
Backend: Supabase, PostgreSQL
Payment: Stripe
Project Mgmt: Linear, Slack
Analytics: Posthog
Anina

Anina

Personalized ecommerce marketplace.

Built a multi-seller ecommerce platform with a personalized recommendation engine, secure Stripe payments, and DHL API integration for automated order tracking.

What I Did:
  • Built an SSR-optimized recommendation engine and multi-tenant seller architecture in Supabase with secure data isolation.
  • Integrated Stripe Connect for automated payouts and DHL API for end-to-end shipment tracking and order updates.
Impact:
  • Increased user engagement by 40% with personalized product recommendations.
  • Reduced support tickets by 70% through automated checkout and shipping flows.
UI/UX: Figma, Excalidraw
Frontend: Next.js, TS, TailwindCSS
Backend: Supabase
Payment: Stripe
Logistics: DHL API
Analytics: Posthog
New Web Order

New Web Order

Company website with performance optimization.

Built a modern company website using Next.js, Tailwind CSS, and TypeScript, focusing on performance optimization, SEO enhancement, and delivering a clean user experience.

What I Did:
  • Developed a responsive company website using Next.js with TypeScript for type safety and Tailwind CSS for modern styling.
  • Implemented performance optimizations including code splitting, image optimization, and efficient rendering strategies.
Impact:
  • Boosted performance by 40% through strategic optimizations and best practices.
  • Delivered a clean, intuitive UX that improved user engagement and site usability.
Frontend: Next.js, TailwindCSS, TypeScript
Languages: TypeScript
AI-Driven Physiotherapy

AI-Driven Physiotherapy

AI-powered platform for live posture correction.

A sophisticated physiotherapy application that utilizes Generative AI for real-time posture correction and a RAG-powered LLM chatbot to provide intelligent, personalized patient support.

What I Did:
  • Built a live posture correction system using computer vision and Generative AI to provide real-time feedback with 95% accuracy.
  • Developed a RAG-powered LLM chatbot for patient inquiries, exercise guidance, and recovery tracking.
  • Implemented a high-performance frontend with Next.js and Tailwind CSS, ensuring smooth interactive sessions.
Impact:
  • Achieved a 95% accuracy rate in real-time posture assessment, significantly enhancing patient recovery accuracy.
  • Reduced dependency on constant physical supervision through automated, real-time AI guidance.
Frontend: Next.js, TailwindCSS
AI/LLM: Generative AI, RAG
Languages: TypeScript
View live not available due to confidentiality and product not publicly available.
SnobBots

SnobBots

Multi-tenant AI chatbot platform.

A scalable MERN-based RAG platform designed for shops and resellers to embed AI support, manage multiple tenants, and sell bots in bulk.

What I Did:
  • Engineered a robust multi-tenant architecture using the MERN stack to support independent AI support agents for various shops and resellers.
  • Integrated RAG (Retrieval-Augmented Generation) to ensure context-aware and accurate AI responses for business-specific support queries.
  • Developed an automated deployment system that handles bulk bot provisioning and management.
Impact:
  • Accelerated deployment time by 60% through automated orchestration and multi-tenant management.
  • Provided shops with a plug-and-play AI support solution, reducing operational overhead.
Database: MongoDB
Backend: Express.js
Frontend: React.js
Runtime: Node.js
Vector DB: Pinecone
AI/LLM: RAG & LLM
View live not available due to confidentiality and product not publicly available.

Tech Stack

Tools, frameworks, and platforms I use to build high-performance apps.

Frontend Development

React
Next.js
TypeScript
JavaScript
Tailwind CSS

Backend & Databases

Node.js
Express.js
Flask
Python
PostgreSQL
MongoDB
Supabase
Firebase
Trigger.dev
Pinecone

Cloud & Deployment

AWS
Vercel
Docker
Coolify
Replit
Render
Kubernetes
Google Cloud

Payments & Services

Stripe
PayPal
OpenRouter
Data for SEO
DHL
Google Maps API

Tools & Analytics

Posthog
Prometheus
Grafana
Figma