Open to workIEEE Publication

MD Arif Foysal

Full-Stack Developer · NestJS + Next.js · ML & AI Automation

I build complete products — from database schema and REST APIs to polished interfaces — and ship them to production. Currently working at Skyview Online Ltd as a Full-Stack Software Engineer, building HRMS tooling and optimizing NestJS backends.

7+

Projects shipped

1

IEEE paper

4+

Years coding

MD Arif Foysal — Full-Stack Developer
Open to work
Next.jsNestJSTypeScriptPythonPostgreSQLReactTailwind CSSLSTM / GRU

My stack — floating in 3D · tap a chip to flip it

01 · Featured Work

Projects I've Built

Real products I've taken from an idea to a working, deployed application.

G

GameHub BD — Game Currency Marketplace

Production-grade, Codashop-inspired game top-up marketplace for Bangladesh — buy UC, Diamonds, Points & Gift Cards and pay instantly with bKash, Nagad, Rocket or cards. A full npm-workspaces monorepo, live on Vercel.

  • Live storefront + admin dashboard + API on Vercel
  • bKash / Nagad / Rocket payments with transaction-ID verification
  • Real-time order tracking (WebSocket) & admin analytics
  • JWT auth + RBAC, Redis + BullMQ queues, CI/CD
Next.jsNestJSPrismaPostgreSQLRedisBullMQSocket.IOTailwind CSSDockerGitHub Actions
C

ConnectSocial — Company-Wide Internal Communication Platform

An internal social network that lets an entire company communicate in one place. Employees post updates, share images, and collaborate inside department feeds for Marketing, Sales, Engineering, HR, Finance and more — or company-wide for everyone to see. SuperAdmins can monitor all activity with analytics, an audit timeline, and an engagement leaderboard, while clients can join as read-only guests and watch the team's communications. A full-stack, self-hostable Next.js + NestJS monorepo, live on Vercel.

  • Posts, images, comments & reactions — company-wide or per department (Marketing, Sales, Engineering, HR…)
  • Clients join as guests with read-only access to follow team communications
  • SuperAdmin monitoring: activity timeline, analytics overview & engagement leaderboard
  • Real-time notifications over WebSocket + live demo on Vercel
Next.jsNestJSTypeORMMySQLTypeScriptWebSocketsJWTTailwind CSS
S

Suzu BD — Footwear E-Commerce

Full-stack e-commerce platform with product catalog, cart, COD order flow, admin dashboard, and image uploads. Deployed end-to-end on Vercel with a managed Postgres database.

  • Live storefront + API in production
  • DB-backed cart with session tracking
  • Admin JWT auth + order stats dashboard
  • Image uploads to Vercel Blob with magic-byte validation
NestJSPrismaPostgreSQLNext.jsTailwind CSSJWTDockerVercel
H

HR Attendance System

Modern TypeScript rewrite of a legacy PHP HR application — CSV attendance import, statistics, monthly reports, employee CRUD, and real-time punches from ZKTeco biometric devices.

  • Legacy PHP → NestJS + Next.js migration
  • ZKTeco device integration with live updates
  • CSV upload with delimiter auto-detection
  • Print-friendly job cards & monthly views
NestJSPostgreSQLNext.jsSocket.IOZKTecoDocker
SourceAug 2026
R

RBMS — Role-Based Management System

Authentication and authorization demo with four roles — SuperAdmin, Moderator, RegularUser, Guest — each with guarded API routes and UI.

  • JWT auth with role-based access control
  • Permission-guarded API + client views
  • Seed demo accounts for every role
NestJSJWTNext.jsTailwind CSS
SourceSep 2026
J

Job Board

Full-stack job listings platform — employers post roles and candidates browse, search, and apply, with a Next.js client and a NestJS API deployed on Vercel.

  • Separate client + API codebases
  • Deployed live on Vercel
  • Responsive job listing UI
NestJSNext.jsTypeScriptVercel
N

Notice Board + WhatsApp Alerts

Notice management system that notifies subscribers on WhatsApp the moment a new notice is published — NestJS API with a Next.js admin client.

  • Instant WhatsApp notification on publish
  • Admin notice CRUD with preview
  • Separate API + client repositories
NestJSNext.jsWhatsApp APITypeScript
W

WhatsApp Full-Stack Project

Early-stage WhatsApp-integrated application — a TypeScript monorepo pairing a backend API with a web client.

  • TypeScript monorepo
  • Backend + frontend pair
  • WhatsApp integration focus
TypeScriptNode.jsREST API
SourceMar 2026

02 · Toolbox

My Tech Stack

The languages, frameworks, and tools I use across web development and machine learning.

F

Frontend

Next.jsReactTailwind CSSFramer MotionTanStack QueryZod
B

Backend

NestJSNode.jsTypeORMREST APIsJWT AuthSocket.IOBullMQ
L

Languages

TypeScriptJavaScriptPythonC++C#
D

Database & Cache

PostgreSQLMySQLPrismaRedisSchema DesignMigrations
M

Machine Learning & AI

LSTMGRUBi-LSTMData AnalysisExplainable AI (SHAP/LIME)n8n AI Agents
T

DevOps & Tools

DockerVercelGitHub Actions (CI/CD)n8nPostmanAgile (Trello)Git

03 · Playground

Try the 3D Keyboard

A real, working keyboard rendered in pure CSS 3D. Type a message and press Send ↵ to deliver it straight to my WhatsApp.

keyboard.playground
Type something…

A real, working 3D keyboard — type a message and press Send ↵ to deliver it straight to my WhatsApp.

04 · Career

Experience & Projects

My career so far — work, research, and the projects that shaped how I build software.

  1. Full-Stack Software Engineer

    ·Skyview Online LtdCurrent

    Feb 2026 — Present · Dhaka, Bangladesh

    Joined as a Software Engineer Intern in Feb 2026 — promoted to Full-Stack Software Engineer in May 2026.

    • Developing an HR Management System (HRMS) to automate employee records, attendance tracking, and payroll processing.
    • Implemented role-based access control (RBAC) for secure multi-user management and data integrity.
    • Optimized backend performance by refining API response logic and complex database queries in NestJS.
    • Collaborated on the architecture of scalable backend systems using PostgreSQL and TypeORM.
  2. Research Co-Author

    ·ML-Based Software Failure Risk Prediction — AIUB

    2026

    • Proposed an ML framework using the NASA JM1 dataset for early software defect prediction.
    • Compared Logistic Regression, Random Forest, and XGBoost; used SMOTE for class imbalance.
    • Integrated SHAP/LIME for interpretability (Explainable AI) and a probability-based risk classification.
  3. Full-Stack Developer

    ·WhatsApp Notice Management System

    2025

    • Built a centralized system to manage and distribute notices across multiple WhatsApp groups via browser integration.
    • Developed automated message broadcasting and real-time group synchronization.
    • Designed and documented REST APIs while optimizing relational database structures for high message volume.
  4. Full-Stack Developer

    ·Attendance Intelligence System

    2024

    • Engineered a parsing tool that converts raw attendance logs into structured, actionable datasets.
    • Generated automated reports for workforce tracking, salary timing, and organizational efficiency analysis.
  5. Machine Learning Project

    ·ML-Based Crypto & Stock Prediction

    2024

    • Built time-series forecasting models for market trends using GRU, LSTM, and Bi-LSTM architectures.
    • Cleaned and analyzed financial datasets to improve prediction accuracy and identify historical patterns.

05 · Research

Research & Publications

Published research in deep learning for financial time-series forecasting.

Published PaperIEEE · 2026

A Comparative Study of GRU, LSTM, and Bi-LSTM for Financial Time Series Forecasting: Apple Stock and Bitcoin

IEEE Conference Proceedings (QPAIN), 2026 · Co-Author

  • Conducted a comparative analysis of GRU, LSTM, and Bi-LSTM architectures for financial forecasting using Apple stock and Bitcoin datasets.
  • Evaluated prediction accuracy and performance across deep learning models for time-series forecasting.
  • Published in IEEE Conference Proceedings.
Read on IEEE XploreDOI: 10.1109/QPAIN69676.2026.11545577

Research Experience

AIUB · 2026

Co-authored an ML framework for software failure risk prediction (NASA JM1 dataset), comparing Logistic Regression, Random Forest, and XGBoost with SMOTE balancing and SHAP/LIME explainability.

06 · Education

Education

My academic background in computer science.

2022 — 2026

BSc in Computer Science & Engineering

American International University-Bangladesh (AIUB)

CGPA: 3.00

2019 — 2021

Higher Secondary Certificate (Science)

Ideal College, Dhanmondi

GPA: 4.42

07 · About Me

How I Work

A few things that define how I approach building software.

I'm a full-stack developer from Bangladesh who enjoys complex web development, API orchestration, and AI automation. My day-to-day stack is TypeScript on both ends — NestJS for robust, modular APIs and Next.js for fast, modern interfaces — backed by PostgreSQL.

Beyond web development, I work with machine learning — forecasting financial time series with deep learning models and building interpretable, explainable ML systems. I'm committed to solving real-world problems through efficient software engineering and automated solutions.

SaaSE-CommerceHR SystemsML & AIAPI OrchestrationAutomation

Full-stack, end-to-end

I own the whole journey — schema, API orchestration, UI, and deployment — so features ship as complete products, not half-built pieces.

Production experience

Projects live on Vercel with managed Postgres and Redis, including a game top-up marketplace, e-commerce storefront, and job board.

ML & AI automation

Built time-series forecasting models (GRU, LSTM, Bi-LSTM), co-authored an IEEE paper, and automated workflows with n8n AI agents.

Detail-oriented

CSV parsing with auto-detection, real-time device events, role-based permissions, and security checklists before every launch.

08 · Contact

Let's Build Something

Open to freelance projects, collaborations, and full-time roles. Reach out any time.