Skip to content
View TayyabSohail's full-sized avatar

Block or report TayyabSohail

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
TayyabSohail/README.md

👋 About Me

I’m Muhammad Tayyab Sohail, a Next.js Full Stack Developer based in Rawalpindi 🇵🇰.
With 1+ year of professional experience (including Bitsmiths) and a Computer Science degree from FAST NUCES Islamabad, I specialize in:

  • ⚡ Building high-performance UIs with Next.js, React, TypeScript & Tailwind
  • 🧠 Delivering AI-driven solutions (RAG, Generative AI, LLM apps, TensorFlow, PyTorch)
  • ☁️ Deploying and scaling apps with AWS, GCP, Supabase, Docker, Kubernetes
  • 🚀 Driving production-ready systems using CI/CD, Prometheus, Grafana

💡 Mindset: Build. Learn. Ship. Repeat.


🛠️ Tech Stack

Frontend
Next.js · React · TypeScript · JavaScript · Vite · Tailwind CSS

Backend & Databases
Node.js · Express.js · Flask · Python · Supabase · PostgreSQL · MongoDB · SQL/NoSQL

Cloud & DevOps
AWS · Google Cloud · Docker · Kubernetes · CI/CD · Prometheus · Grafana

AI / ML
Prompt Engineering · RAG Systems · Text Generation · Image Generation · TensorFlow · PyTorch · Model Deployment


🏢 Professional Experience

  • BitsmithsFull Stack Developer
    Building scalable, production-grade applications for real-world clients.

  • Freelance & Side ProjectsAI & Web Apps
    Delivered AI-enhanced full stack projects, RAG-based chatbots, and cloud-native apps.


📌 Projects Snapshot

  • PhysioVision → AI-powered physiotherapy platform (Next.js · MERN · Tailwind · RAG · TensorFlow)
  • PEP News Screening Platform → Built during internship at Aawaz AI for Bank Islami (React · Vite · Tailwind)
  • New Web Order → SEO-optimized commercial website (Next.js · TypeScript)
  • Wedding Events Planning App → Full-stack Java/MySQL solution with vendor & user flows

(more in pinned repos & Bitsmiths org)


📊 My GitHub & Contributions

👉 I also contribute actively under the Bitsmiths organization.
Check out my org repos to see professional-grade projects in action.


🎓 Certifications

  • AWS Academy Cloud Web Application Builder
  • AWS Academy Cloud Data Pipeline Builder
  • AWS Academy Cloud Foundations

🌐 Connect With Me

LinkedIn
Portfolio
Email


Pinned Loading

  1. Tayyab_Portfolio Tayyab_Portfolio Public

    Check out my live portfolio

    TypeScript

  2. PhysioVision-AI-Powered-Physiotherapy-System PhysioVision-AI-Powered-Physiotherapy-System Public

    an intelligent, real-time AI-powered physiotherapy assistant that mimics the role of a personal physiotherapist guiding, correcting, and motivating you through every stretch, rep, and recovery.

    TypeScript 3 1

  3. PEP_NEWS_Screening PEP_NEWS_Screening Public

    A product made for Bank Islami under the guidance of Aawaz AI at NUST. This product is used by the bank for filtering the NEWS for the selected PEP. It is utilized for financial analysis.

  4. FastNuces_OneStop_Degree_Issuance_Managent_System_-FULL-STACK- FastNuces_OneStop_Degree_Issuance_Managent_System_-FULL-STACK- Public

    A robust One Stop Services platform developed for FAST Islamabad, utilizing C#, ASPX.net, HTML, CSS, and JavaScript for design, with MySQL for database management. Adhering to SCRUM principles, it …

    C#

  5. Marriage-Event-Management-System-FULL-STACK- Marriage-Event-Management-System-FULL-STACK- Public

    MARRY MANAGE - Marriage Event Management System

    1

  6. ali-umer/MERN-stack-Appointment-Booking-system ali-umer/MERN-stack-Appointment-Booking-system Public

    Developed a user-friendly service website on the MERN Stack, integrating login, appointment management, and provider categorisation, resulting in OlaDoc's streamlined platform for efficient patient…

    JavaScript