Muhammad Ismail

⚡

Open to Work ML / AI Roles

About Me

Building the Future
One Model at a Time

I'm an AI and Machine Learning enthusiast currently pursuing a BS in Computer Science (Data Science specialization) at UET Mardan. My passion lies in building real-time intelligent systems that solve meaningful problems.

I specialize in Deep Learning and Computer Vision—from training YOLOv8 models for real-time detection to constructing end-to-end ML pipelines and RAG-based AI systems. I'm skilled in Python, SQL, and deploying production-ready models with Flask, Streamlit, and Docker.

Deep Learning Computer Vision Data Science AI Systems Python MLOps

Education

BS CS — UET Mardan

Location

Pakistan

Specialization

Data Science

Since

2023 – Present

Technical Arsenal

Skills & Technologies

A curated stack of tools and frameworks I use to engineer AI-powered solutions.

Core Proficiency

Python 90%

Machine Learning 85%

Deep Learning 82%

Computer Vision 80%

SQL / Data Engineering 75%

Model Deployment 78%

NLP / RAG Systems 72%

Programming

Python SQL

AI / ML

Machine Learning Deep Learning NLP Computer Vision RAG

Libraries & Frameworks

Pandas NumPy Scikit-learn OpenCV TensorFlow PyTorch Hugging Face YOLOv8

Tools

Git GitHub Jupyter

Deployment

Flask Streamlit REST APIs Docker

Portfolio

Featured Projects

Real-world AI systems I've engineered — from vision pipelines to intelligent APIs.

CV

01 / 05

YOLOv8 Real-Time Object Detection with Sound Alert

Built a real-time object detection system using YOLOv8 that identifies objects from a live webcam feed and triggers audio alerts upon detection. Optimized for low-latency inference using OpenCV and custom-trained weights.

YOLOv8 OpenCV Python PyTorch Real-time

GitHub Demo

ML

02 / 05

End-to-End Machine Learning Pipeline

Designed and implemented a complete ML pipeline covering data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. Modular architecture supports plug-and-play model switching.

Scikit-learn Pandas NumPy Docker Flask

GitHub Details

ML

03 / 05

ML Models — Regression & Classification

A comprehensive collection of supervised learning models including linear & polynomial regression, decision trees, random forests, SVM, and gradient boosting—all with thorough EDA, hyperparameter tuning, and performance comparison reports.

Scikit-learn Matplotlib Seaborn Jupyter

GitHub Notebook

NLP

04 / 05

RAG-Based AI System using Hugging Face

Built a Retrieval-Augmented Generation pipeline using Hugging Face Transformers and FAISS vector store. The system answers domain-specific queries by retrieving relevant document chunks and generating grounded, context-aware responses.

Hugging Face FAISS LangChain Transformers NLP

GitHub Demo

Web

05 / 05

Streamlit ML Apps & Flask REST APIs

Deployed multiple ML models as interactive Streamlit web apps and production-ready Flask REST APIs. Features include real-time predictions, data upload, visualization dashboards, and Docker-containerized deployment.

Streamlit Flask REST API Docker Python

GitHub Live App

Journey

Project Experience

A timeline of my technical growth through hands-on AI projects.

2026 — Present

RAG-Based AI System Development

Self-Directed Research Project

Architected a production-grade Retrieval-Augmented Generation system leveraging Hugging Face Transformers, FAISS vector indexing, and modern prompt engineering. Focused on grounded, hallucination-resistant AI responses for domain-specific knowledge bases.

Hugging Face FAISS RAG NLP

2025 — 2026

Computer Vision System Engineer

YOLOv8 Detection Project

Designed and implemented a real-time object detection system with sound-alerting capabilities. Trained YOLOv8 on custom datasets, optimized inference pipelines, and integrated OpenCV for live webcam processing.

YOLOv8 PyTorch OpenCV Python

2024 — 2025

ML Pipeline Architect

End-to-End ML Project

Engineered a modular end-to-end machine learning pipeline from raw data ingestion to model deployment. Implemented REST API endpoints with Flask and containerized the entire system with Docker for reproducible deployments.

Scikit-learn Flask Docker REST API

2023 — 2024

Data Science & ML Foundations

UET Mardan — Academic Projects

Developed comprehensive regression and classification models across multiple domains. Built interactive Streamlit dashboards for data exploration and model visualization, establishing a strong foundation in data science fundamentals.

Pandas NumPy Streamlit EDA

Academic

Education

Formal training in Computer Science with a Data Science specialization.

Bachelor of Science in Computer Science

University of Engineering & Technology (UET) Mardan

2023 – Present Data Science Specialization Mardan, Pakistan

Pursuing an undergraduate degree with a focus on Data Science, covering core CS fundamentals alongside advanced topics in Machine Learning, Deep Learning, Databases, Data Structures & Algorithms, and Statistical Analysis. Actively applying coursework through independent AI projects.

Credentials

Certifications

Validated knowledge through structured programs and industry certifications.

Python Programming Certificate

Professional Development Program

February 2026

Artificial Intelligence & Machine Learning

KPITB — Khyber Pakhtunkhwa IT Board

April 2026

Human Skills

Soft Skills

Technical excellence amplified by interpersonal strengths.

🧩

Problem Solving

🔬

Analytical Thinking

🤝

Teamwork

💬

Communication

🔄

Adaptability

Let's Connect

Get in Touch

I'm actively looking for opportunities in ML Engineering, Computer Vision, and Data Science. Whether you have a project, job opportunity, or just want to talk AI — my inbox is always open.

Email

muhammadismail0140@email.com

https://www.linkedin.com/in/muhammad-ismail-913ab6322/

GitHub

github.com/muhammadismail040