Alyyan Ahmed

AI & MLOps Engineer | Computer Vision Specialist

I build intelligent systems and end-to-end MLOps pipelines, turning complex data into production-ready solutions.

About Me

AI/ML Engineer with hands-on experience in machine learning, computer vision, and MLOps. Proficient in Python, PyTorch, TensorFlow, and deployment frameworks such as Flask and FastAPI. Completed an AI Internship at Digital Bytes SMC Pvt. Ltd., contributing to a production-grade retail solution for Gala Groceries, alongside multiple independent research and learning projects. Strong background in end-to-end MLOps pipelines, CI/CD, and deploying AI models to production environments. Actively seeking to contribute to innovative AI/ML engineering roles while continuing to advance expertise in intelligent systems and automation solutions.

Education

BS Artificial Intelligence

Air University, Islamabad | Sept 2021 – June 2025

Work Experience

June 2024 – Sept 2024

AI & Web Development Intern

Digital Bytes SMC Pvt. Ltd. - Islamabad

  • Built and deployed ML models for production projects, including a retail solution for Gala Groceries.
  • Developed and maintained web applications using Flask, FastAPI, and MLOps practices.
  • Worked on diverse projects spanning computer vision, machine learning, and data analytics.

July 2023 – Sept 2023

Machine Learning Intern

Air University - Islamabad

  • Implemented ML algorithms for anomaly detection in network traffic.
  • Analyzed large datasets and applied predictive analytics to detect cybersecurity threats.
  • Assisted in research related to AI-driven cybersecurity models.

My Skills & Tech Stack

Machine Learning & AI

TensorFlow
PyTorch
Keras
scikit-learn
🤗
Hugging Face
ONNX
ONNX

Computer Vision

OpenCV
YOLOv5/v8
YOLOv5/v8
ViT
ViT
TorchServe
TorchServe

Data Science & Visualization

Pandas
NumPy
Matplotlib
Matplotlib
Seaborn
Seaborn
Power BI

MLOps & DevOps

Docker
CI/CD
CI/CD
GitHub Actions
MLflow
MLflow
DVC
DVC

Backend Development

FastAPI
Flask
MongoDB
REST
REST API

Frontend Development

React.js
Next.js
Material-UI (MUI)
Gradio
Gradio
JavaScript
CSS

Hardware & IoT

Raspberry Pi
Arduino
Gazebo
Gazebo

Projects

End-to-End MLOps Facial Emotion Recognition App

A production-grade MLOps pipeline with TensorFlow/Keras, Hugging Face Transformers, and Gradio UI. Integrated DVC, MLflow, and GitHub Actions for CI/CD.

MLOpsViTGradioCI/CDDocker

Chest Cancer Classifier with MLOps

Engineered a full CI/CD pipeline using MLflow, DVC, and Docker. Deployed a TensorFlow/Keras model to Hugging Face Spaces, achieving 93% accuracy.

MLOpsCI/CDDockerTensorFlowHugging Face

Chest X-ray Pneumonia Detection with ViT

A dual-model system using ResNet-50 for OOD filtering and ViT for pneumonia detection (94% accuracy). Full MLOps pipeline with DVC, MLflow, and CI/CD.

ViTResNet-50MLOpsMongoDBGradio

Smart Cleaning Bot (Final Year Project)

An AI-powered autonomous cleaning robot with Raspberry Pi & Arduino, featuring trash detection, obstacle avoidance, and autonomous navigation. Simulated in Gazebo.

RoboticsRaspberry PiArduinoAI

Facial Emotion Recognition Research

Documented full research lifecycle exploring FER-2013/FER+ and CK+ datasets, detailing failures and lessons learned before pivoting to a state-of-the-art ViT Transformer.

ResearchPyTorchViTData Analysis

Get In Touch

My inbox is always open. Whether you have a question, a potential opportunity, or just want to say hi, feel free to reach out.

alyyanawan19@gmail.com
+92 318 5522312
Connect on LinkedIn