Ahsan's Code Lab 👋 🧪 </>

About Me

An engineer with hands-on experience in building full-stack applications using Next.js, TypeScript, Python, and FastAPI. Skilled in training and integrating custom Machine Learning models, implementing secure CI/CD pipelines. Also, strong background in design, simulation, and automation, with an aim for creating efficient, data-driven solutions that combine engineering precision with modern technologies.

My Stack

NEXT
TypeScript
Node.js
NEXTPython
MongoDB
AWS

My Projects

QUIZZY APP

React, Typescript, FastApi, Mongodb, OpenAI, Gemini, Stripe, Vercel

VisitCodeDemo

AI Playground

React, Typescript, OpenAI

Demo

E-commerce Platform

MERN Stack

VisitCode

SSINT Mockup

React, Typescript

Visit

SSINT Registry

NEXT, Typescript, Appwrite

VisitCode

SSINT Shopify Store Revamp

Shopify, Canva

Visit

Corporate UK Services

React, Node Js

Visit

Projects and Experience

Full-Stack Developer

SSINT Grading

Sep 2024 - Present

  • Developed the UK’s first AI-powered Trading Card Grading System using Next.js, TypeScript, and Python achieving over 60% improvement in grading efficiency compared to manual inspection.
  • Built and integrated a ML model trained on custom images data, to detect and classify trading card defects (corners, edges, surfaces), enabling automated and highly accurate grading results.
  • Led the end-to-end deployment pipeline on on-premise Linux server with CI/CD automation (GitHub self-hosted runners), ensuring reliability, security, cost efficiency and continuous delivery.

E-Learning Platform

Quizzy (Personal Product)

  • Built a full-stack AI-powered e-learning platform.
  • Leveraged Gemini and OpenAI for generative AI.
  • Built frontend using React, ShadCN, TailwindCSS and Zustand for state management.
  • Implemented and integrated backend API using Python FastAPI.
  • Integrated payment gateway using Stripe.
  • Deployed on AWS EC2 Linux.

Automation & Data Integration

Advance Engineering

  • Developed a Python-based automation tools to extract and process data from Excel files, generating DXF files to improve design efficiency by 50%.
  • Built a simple and intuitive UI with Tkinter, enabling users to easily interact with the tool.
  • Compiled the Python application into a standalone executable (.exe), to run on Windows PCs.
  • Enhanced workflow efficiency by automating data extraction, reducing manual tasks, and minimizing errors in design processes.

My Articles

Get in Touch

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