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.

Recent Achievement

SSINT Centering App
& AI Trading Card Grader

I am proud to announce that the SSINT Centering tool is now officially available on both iOS and Android. Combined with my latest AI-powered Trading Card Grader, I am revolutionizing how collectors evaluate their assets.

SSINT Centering App Screenshot

My Stack

NEXT
TypeScript
Node.js
NEXTPython
MongoDB
AWS

My Projects

SSINT Centering App (iOS & Android)

React Native, Expo, FastApi, Machine Learning, Python

AI Trading Card Grader

React, FastAPI, PyTorch, MongoDB, OpenAI

QUIZZY APP

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

AI Playground

React, Typescript, OpenAI

E-commerce Platform

MERN Stack

SSINT Mockup

React, Typescript

SSINT Registry

NEXT, Typescript, Appwrite

SSINT Shopify Store Revamp

Shopify, Canva

Corporate UK Services

React, Node Js

Projects and Experience

Machine Learning Engineer / Software Developer

SSINT. Ltd

Sep 2023 - Present

  • Developed the UK’s first AI-powered Trading Card Grading System, leveraging computer vision models and a full-stack web platform, improving grading efficiency by ~60% compared to manual inspection.
  • Designed and trained Convolutional Neural Network (CNN) models on custom image datasets to detect and classify trading card defects (corners, edges, surfaces). Built the data pipeline including image collection, annotation, preprocessing, and augmentation to improve model robustness.
  • Integrated trained ML models into a production web application using Python APIs and Next.js/TypeScript, enabling automated grading and real-time inference for users.
  • Built a scalable backend system and grading database using Appwrite and RESTful APIs, supporting certificate verification and seamless integration with Shopify, increasing customer engagement by 50%.
  • Implemented CI/CD pipelines on on-premise Linux infrastructure with GitHub self-hosted runners, ensuring reliable model updates, secure inference services, and cost-efficient infrastructure.
  • Collaborated across product and marketing functions to improve user adoption and driving sales growth.

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

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