SoftwareEngineer.

Hi! I'm Md Sarafat Ali Adir

A Software Engineer based in Dhaka, Bangladesh. I am passionate about NodeJs, ExpressJs, PostgreSQL, Python and JavaScript, with expertise in creating scalable, user-friendly applications.

About Me

Building scalable software and modern user experiences.

Md Sarafat Ali Adir

I am MD SARAFAT ALI ADIR, a Software Engineer currently completed my BSc in Computer Science & Engineering at American International University - Bangladesh. I specialize in NodeJs, ExpressJs, PostgreSQL, Python and JavaScript, with a strong focus on building enterprise-level software solutions that prioritize scalability and user experience.

I have worked at Tech Enovative and Neurochip Industries Ltd, developing robust applications ranging from CRM and E-commerce platforms to LMS projects. I am passionate about embracing new technologies and continuously applying best practices to deliver impactful projects.

GitHub Contributions

Md Sarafat Ali Adir's Github Contributions

Skills

Technologies and tools I work with to build innovative solutions.

Programming & Scripting

Python (Scikit-learn, PyTorch, TensorFlow)
JavaScript
TypeScript
SQL
Git
Bitbucket
LaTex

Machine Learning

Supervised & Unsupervised Learning
Model Selection
Transformers
CNNs
Deep Learning

Data Science

Exploratory Data Analysis
Feature Engineering
Statistical Analysis

Cloud & Data Engineering

Docker
CI/CD
AWS
Redis

Full-Stack Development

HTML5
CSS3
JavaScript
REST APIs
React.js
Node.js
Express.js
MSSQL
MongoDB & PostgreSQL

Data Analysis

Pandas & NumPy
Seaborn & Matplotlib
Jupyter Notebooks

Experience

Work history shaped by product thinking and reliability.

Software Engineer

Tech Enovative
Feb 2024 - May 2024
  • Develop enterprise-level software solutions with a focus on scalability and user experience.
  • Utilize ASP .NET Core, MSSQL, and JavaScript to build robust applications.
  • Ensure applications are user-friendly and meet business requirements.
ASP.NET CoreMSSQLJavaScript

.NET Trainee

Neurochip Industries Ltd
Feb 2023 - Jul 2023
  • Contributed to the development of CRM, E-commerce applications, and LMS projects using .NET technologies.
  • Designed and implemented core features, ensuring functionality and scalability.
.NETCRME-commerce

Projects

Projects I worked on

Filter by technology:
Medical Cost Prediction

Medical Cost Prediction

A machine learning project that predicts medical insurance charges based on personal health and demographic factors. The model uses a Gradient Boosting Regressor trained on historical insurance data and provides predictions through an intuitive web interface.

PythonPandasNumPyScikit-learnMatplotlibSeaborngradio
Self-Supervised Ensemble Learning for Skin Lesion Classification (HAM10000)

Self-Supervised Ensemble Learning for Skin Lesion Classification (HAM10000)

This project implements an advanced computer vision pipeline for multi-class skin lesion classification using the HAM10000 dataset (7 disease categories).

Computer VisionSelf-SupervisedEnsemble Learning
Home Loan Approval Prediction

Home Loan Approval Prediction

The project demonstrates the effectiveness of machine learning in solving a real-world financial problem. It provides insights into factors that influence home loan approval decisions and highlights the importance of data preprocessing in achieving accurate predictions.

PythonPandasNumPyScikit-learnMatplotlibSeaborn
KoylaPizzaGrill – Backend API

KoylaPizzaGrill – Backend API

Developed a backend API for Koyla Pizza Grill, a restaurant management & ordering system.

Express.jsTypeScriptRedisMongoDB
ShelfMaster – Library Management System

ShelfMaster – Library Management System

Built a minimalist library management system for managing books and borrowing records.

React.jsReduxExpress.jsMongoDB
Arcedemy – Learning Management System

Arcedemy – Learning Management System

Developing a learning app for Cambridge and Edexcel curriculum students.

React.jsExpress.jsMongoDBAWS S3

Credentials

Licenses & Certifications

AI / ML

Retrieval Augmented Generation (RAG)

DeepLearning.AI·Issued Jun 2026
ID: GXC4JTFZLPW8
Retrieval-Augmented Generation (RAG)
Database

SQL (Basic)

HackerRank·Issued May 2025
ID: 17B5A01E2FDB
SQLDatabase Querying

Contact

Please contact me directly at sarafat.adir@gmail.com or through this form.