Available for new opportunities

Hi, I'm
Mohammad Wasif Ahad

Full-Stack Developer | AI Engineer | Agentic Workflow Architect. Crafting intelligent digital ecosystems where engineering meets artificial intelligence.

Download Resume
Mohammad Wasif Ahad
15 FINISHED PROJECTS
PROBLEM SOLVER
2+ YEARS EXP
Wasif Ahad Casual

Beyond the Code

When I'm not architecting agentic workflows, you'll find me with my hands on a guitar fretboard or keyboard keys. Music is my parallel language—structuring melodies much like I structure clean code.

2+
Years Experience
15+
Projects Completed
5+
AI Agents Built
Coffee Consumed

About Me

My journey began in the world of electrons and circuits during my BSc in Electrical and Electronic Engineering (AUST). However, the logic of software soon pulled me deeper.

I transitioned into a MSc in Computer Science (Brac University) to specialize in what truly excites me: Artificial Intelligence and Agentic Systems.

I thrive at the intersection of robust Full-Stack Engineering and cutting-edge AI. Whether it's deploying Computer Vision models or architecting blockchain-integrated AI agents, my goal is always the same: building systems that think.

MSc in CSE

Brac University | 2025 - Present

BSc in EEE

AUST | 2019 - 2023

Technologies

My Tech Stack

Python
Python
Go
Go
JavaScript
JavaScript
TypeScript
TypeScript
PostgreSQL
PostgreSQL
Next.js
Next.js
React
React
Node.js
Node.js
Express
Express
NestJS
NestJS
FastAPI
FastAPI
Django
Django
Flask
Flask
MongoDB
MongoDB
Prisma
Prisma
Docker
Docker
Kubernetes
Kubernetes
Tailwind CSS
Tailwind CSS
Git
Git
AWS
AWS

Skills

My Technical Level

Frontend Developer

HTML5

HTML5

Next.js

Next.js

TypeScript

TypeScript

Tailwind CSS

Tailwind CSS

JavaScript

JavaScript

React.js

React.js

Backend Developer

Node.js

Node.js

Go

Go

Express.js

Express.js

FastAPI

FastAPI

Docker

Docker

Kubernetes

Kubernetes

AWS

AWS

PostgreSQL

PostgreSQL

AI Engineer

Python

Python

LangChain

LangChain

Agentic Flow

RAG Pipelines

Docker

Docker

Vector DB

AWS

AWS

PyTorch

PyTorch

Experience

Software Engineer - AI & Agentic Systems

QzenTech
July 2024 - Present
Remote/Dhaka
  • Architecting AI-driven agentic workflows for blockchain data pipelines.
  • Developing LLM-based tools for automated smart contract validation and monitoring.
  • Optimizing RAG (Retrieval-Augmented Generation) systems for high-throughput data processing.
  • Leading the transition to agent-based microservices architecture.

Jr. ML Engineer

Bondstein Technologies
April 2024 - November 2024
Dhaka, Bangladesh
  • Developed and deployed computer vision models using YOLO for real-time object detection.
  • Implemented ML pipelines for large-scale image processing and classification.
  • Collaborated with IoT teams to integrate ML models into edge devices.
  • Optimized model inference times for production environments.

Education

MSc in Computer Science and Engineering

Brac University

2025 - Present

Focusing on Artificial Intelligence, Machine Learning, and Advanced Algorithms.

BSc in Electrical and Electronic Engineering

Ahsanullah University of Science and Technology (AUST)

2019 - 2023

Graduated in 2023. Specialized in Electronics and embedded systems.

Detailed Resume

Want a deeper look at my technical expertise and publication history?

Download PDF

Featured Projects

A curated selection of my work in AI Engineering, Agentic Workflows, and Full-Stack Development.

Total Built: 3
Agentic LLM Validator
Next.jsPythonLangGraph

Agentic LLM Validator

A robust validation framework for Large Language Models using agentic workflows.

ParkSmart IoT
ReactNode.jsMQTT

ParkSmart IoT

Smart parking management system using IoT sensors and real-time monitoring.

Reflective Trading Agent
TypeScriptPythonFastAPI

Reflective Trading Agent

AI-powered trading bot that uses self-reflection to optimize strategy.

Let's Connect

Have a project in mind or just want to chat about AI and Agentic workflows? I'm always open to discussing new opportunities and creative ideas.

Location

Dhaka, Bangladesh (Onsite / Hybrid / Remote)

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