Hi, I am
Fahad Pathan

Passionate software engineer

DOWNLOAD RESUME
Background shape Fahad's image

About Me

Programming illustration

I am a Software Engineering graduate from Shahjalal University of Science and Technology (SUST) with a CGPA of 3.72. Currently working as a Backend Software Engineer at Brainstation-23 and serving as a Research Assistant at AMIR Lab, focusing on Computer Vision and Deep Learning.

With experience in solving 1000+ programming problems and expertise in Go, React, and Node.js, I've developed various real-world applications. My research work in Computer Vision has led to publications in reputable journals. I am passionate about creating impactful solutions through technology and continuous learning.

What I have learnt so far

Familiar With

Programming Languages
C

C

C++

C++

Go

Go

Java

Java

Python

Python

JavaScript

JavaScript

Frameworks
Django

Django

FastAPI

FastAPI

Flask

Flask

Express.JS

Express.JS

React.JS

React.JS

Libraries
HTML5

HTML5

CSS3

CSS3

Tailwind CSS

Tailwind CSS

TensorFlow

TensorFlow

Scikit-learn

Scikit-learn

CMUX

CMUX

GMUX

GMUX

Database & Cloud
MySQL

MySQL

MongoDB

MongoDB

AWS

AWS

Tools & Technologies
Docker

Docker

Git

Git

Postman

Postman

Jira

Jira

Data Science Libraries
Pandas

Pandas

Polars

Polars

Seaborn

Seaborn

Education

Shahjalal University of Science and Technology

B.Sc. in Software Engineering

2020 - 2024 Sylhet CGPA: 3.72

Notre Dame College

Higher Secondary School Certificate

2017 - 2019 Dhaka GPA: 5.00

Motijheel Govt. Boys' High School

Secondary School Certificate

2015 - 2017 Dhaka GPA: 5.00

Work Experience

Brainstation-23

Software Engineer

Brainstation-23
October 2024 - Present Mohakhali, Dhaka

Currently working on RideAlike, a Canada-based ride-sharing platform that connects vehicle owners and renters. Building microservices with Go and gRPC.

Go gRPC MongoDB Microservices Docker
AMIR Lab

Research Assistant

Advanced Machine Intelligence Research Lab (AMIR Lab)
April 2024 - Present Dhaka

Working on cutting-edge research projects in Computer Vision and Deep Learning. Focusing on agricultural and medical domains, contributing to multiple research publications.

Computer Vision Deep Learning PyTorch TensorFlow

Problem Solving

Solved over 1000 programming problems on various online problem solving platforms.

Codeforces

Codeforces

Max Rating: 1386
CodeChef

CodeChef

Max Rating: 1709
StopStalk

StopStalk

LeetCode

LeetCode

My Projects

EcoSync

A comprehensive web app for DNCC's waste management with role-based access, vehicle & facility management, billing, and route optimization.

Express.JS Socket.io MongoDB
View Project

SUST FTMS

A web application for managing SUST Football Tournament with teams, schedules, fixtures, and scores management.

Golang MySQL JWT
View Project

HandyHire

Platform connecting people needing help with handy jobs to those looking for part-time work opportunities.

Golang MySQL HTML/CSS
View Project

Connect

Android app for disaster management with volunteer coordination, real-time warnings, and location tracking.

Java Firebase Android Studio
View Project

Survive-IT

An engaging game where the hero protects Wonderland by battling sea and sky monsters.

Java LibGDX
View Project

My Achievements

AI Olympiad

1st Runner-up in the Tertiary category at DIU AI Olympiad 2025

Smart Unibator

2nd Runner-up at SUST University Innovation Hub Program 2024

Code Samurai

Reached the 2nd phase of Code Samurai 2024 at DU

1000+ Problems

Solved over 1000 programming problems across various platforms

Certifications

AWS Cloud Practitioner

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

Issued May 2025 Valid until May 2028
Verify Certificate
Coursera Certificate

Supervised Machine Learning: Regression and Classification

Coursera (Stanford University)

Issued October 2023
Verify Certificate
HackerRank Certificate

SQL (Basic) Certificate

HackerRank

Issued May 2024
Verify Certificate

Research Experience

Research Profiles

Research Publications

Accepted

Explainable AI-Driven Vision Transformers for Assessing Fruit Freshness via Transfer Learning

27th International Conference on Computer and Information Technology (ICCIT) 2024
Computer Vision Deep Learning XAI
Published

XLTLDisNet: A Novel and Lightweight Approach to Identify Tomato Leaf Diseases with Transparency

Heliyon (Elsevier)
Deep Learning Agriculture Disease Detection
View Paper
Published

Deep Learning-based Classification, Detection, and Segmentation of Tomato Leaf Diseases: A State-of-the-Art Review

Artificial Intelligence in Agriculture (Elsevier)
Survey Deep Learning Agriculture
View Paper

Let's get in touch

Feel free to reach out for collaborations, opportunities, or just a friendly chat!

Moghbazar, Dhaka - 1214

fahadpathan56@gmail.com

016-123-63-458

Send me a message

Facebook
Instagram
Github
LinkedIn
Medium