I'm Mohsin Ali,

Machine Learning Engineer

Python Developer

Software Engineer

Python Developer

Software Engineer

ML Engineer

About

My name is Mohsin Ali, and I live in Lahore. I have completed my graduation in Software Engineering. I am interested in technology and always looking to improve my skills in software development and related fields.

I am a Data Scientist, Machine Learning Engineer, and Python Developer with a strong passion for building data-driven and intelligent solutions that address real-world challenges. I specialize in Python programming, data analysis, machine learning model development, data preprocessing, and the deployment of scalable AI applications. My experience includes working with both traditional machine learning algorithms and deep learning techniques, with practical applications in computer vision, natural language processing, and predictive analytics. I am dedicated to developing efficient, production-ready systems and continuously enhancing my expertise to stay current with the latest advancements in data science, artificial intelligence, and software engineering.

Python

Backend

80%

HTML

Interface

90%

CSS

Designing

90%

Java Script

Backend

70%

SQL

Database

90%

Machine Learning

Algorithms

70%

Deep Learning

Pytorch, CNN

60%

Data Science

Pandas, NumPy

80%

API Development

FastAPI, Flask

70%

File Handling

CSV, JSON, Excel

80%

Testing

PyTest, Unittest

60%

Django

Framework

70%

Data Analysis

Excel, Power BI

90%

Services

Python Dvelopment

Building scalable backend applications, REST APIs, automation scripts, and database-driven systems using Python frameworks such as Flask, FastAPI, and Django.

Machine Learning Solutions Dvelopment

Developing intelligent machine learning models for prediction, classification, computer vision, and natural language processing using modern AI frameworks.

Data Science & Analytics

Extracting insights from data through data cleaning, exploratory data analysis, statistical analysis, visualization, and predictive analytics.

AI Model Deployment

Deploying machine learning models and AI applications using APIs, cloud platforms, Docker, and production-ready deployment pipelines.

Certificates

Evolvian Softwares

Machine Learning Intern (6 months internship)

2025

Evolvian Softwares

Machine Learning Intern (6 months internship)

2025

Google

Crash Course on Python

2025

Google

Crash Course on Python

2025

Cisco Networking

Data Science Essentials with Python

2025

Cisco Networking

Data Science Essentials with Python

2025

Uniathena

Python for Data Science & Machine Learning

2025

Uniathena

Python for Data Science & Machine Learning

2025

Udemy

Master Python for Data science, Machine Learning and Automation

2025

Udemy

Master Python for Data science, Machine Learning and Automation

2025

Cisco Networking

Python Essentials 2

2025

Cisco Networking

Python Essentials 2

2025

Hewlett-Packard (HP)

Data Science & Analytics

2025

Hewlett-Packard (HP)

Data Science & Analytics

2025

AWS

Machine Learning

2025

AWS

Machine Learning

2025

DeepLearning.ai (Stanford)

Supervised Machine Learning: Regression and Classification

2025

DeepLearning.ai (Stanford)

Supervised Machine Learning: Regression and Classification

2025

FAQ

1.

What services do you offer as a Data Scientist and Machine Learning Engineer?

I provide end-to-end data science and machine learning solutions, including data analysis, data preprocessing, predictive modeling, deep learning, NLP applications, model deployment, and Python backend development. I also build AI-powered web applications and data-driven systems.

2.

Which technologies and tools do you work with?

I work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, FastAPI, Flask, SQL, MySQL, MongoDB, Docker, Git, and various data visualization libraries such as Matplotlib and Plotly.

3.

Can you build complete AI and Machine Learning projects?

Yes. I develop complete AI and machine learning solutions, from data collection and preprocessing to model training, evaluation, deployment, and integration with web or mobile applications.

4.

Do you work on Deep Learning and Computer Vision projects?

Yes. I have experience building deep learning applications using CNNs, transfer learning models, image classification systems, object detection, and computer vision solutions using frameworks like TensorFlow and PyTorch.

5.

Can you develop Python backend APIs and web applications?

Yes. I build scalable backend systems using Python frameworks such as FastAPI, Flask, and Django. I also integrate machine learning models into web applications and REST APIs.

6.

How long does a machine learning project usually take?

The timeline depends on the project's complexity, dataset size, and requirements. Simple projects may take a few days, while advanced AI systems with deployment can take several weeks.

7.

Do you provide data analysis and visualization services?

Yes. I perform exploratory data analysis (EDA), data cleaning, feature engineering, statistical analysis, and create interactive dashboards and visualizations to generate business insights.

8.

Can you deploy machine learning models to production?

Yes. I deploy machine learning models using APIs, cloud platforms, Docker containers, and web applications to ensure scalability and real-world usability.

9.

Do you work with Natural Language Processing (NLP)?

Yes. I develop NLP applications such as text classification, sentiment analysis, chatbots, document processing, and AI-powered content generation systems.

10.

Do you provide support and maintenance after project delivery?

Yes. I offer post-deployment support, performance optimization, bug fixing, model retraining, and ongoing maintenance services to ensure long-term project success.

1.

What services do you offer as a Data Scientist and Machine Learning Engineer?

I provide end-to-end data science and machine learning solutions, including data analysis, data preprocessing, predictive modeling, deep learning, NLP applications, model deployment, and Python backend development. I also build AI-powered web applications and data-driven systems.

2.

Which technologies and tools do you work with?

I work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, FastAPI, Flask, SQL, MySQL, MongoDB, Docker, Git, and various data visualization libraries such as Matplotlib and Plotly.

3.

Can you build complete AI and Machine Learning projects?

Yes. I develop complete AI and machine learning solutions, from data collection and preprocessing to model training, evaluation, deployment, and integration with web or mobile applications.

4.

Do you work on Deep Learning and Computer Vision projects?

Yes. I have experience building deep learning applications using CNNs, transfer learning models, image classification systems, object detection, and computer vision solutions using frameworks like TensorFlow and PyTorch.

5.

Can you develop Python backend APIs and web applications?

Yes. I build scalable backend systems using Python frameworks such as FastAPI, Flask, and Django. I also integrate machine learning models into web applications and REST APIs.

6.

How long does a machine learning project usually take?

The timeline depends on the project's complexity, dataset size, and requirements. Simple projects may take a few days, while advanced AI systems with deployment can take several weeks.

7.

Do you provide data analysis and visualization services?

Yes. I perform exploratory data analysis (EDA), data cleaning, feature engineering, statistical analysis, and create interactive dashboards and visualizations to generate business insights.

8.

Can you deploy machine learning models to production?

Yes. I deploy machine learning models using APIs, cloud platforms, Docker containers, and web applications to ensure scalability and real-world usability.

9.

Do you work with Natural Language Processing (NLP)?

Yes. I develop NLP applications such as text classification, sentiment analysis, chatbots, document processing, and AI-powered content generation systems.

10.

Do you provide support and maintenance after project delivery?

Yes. I offer post-deployment support, performance optimization, bug fixing, model retraining, and ongoing maintenance services to ensure long-term project success.

Contact

Let’s work together

Let’s work together

Let’s work together

Have a project in mind or just want to say hello? Drop a message and I’ll get back to you.

Building intelligent systems and data-driven solutions that turn raw information into actionable insights and scalable innovation.

© 2026 Dominicus. All rights reserved.

Let’s build your next big thing

Building intelligent systems and data-driven solutions that turn raw information into actionable insights and scalable innovation.

© 2026 Dominicus. All rights reserved.

Let’s build your next big thing

Building intelligent systems and data-driven solutions that turn raw information into actionable insights and scalable innovation.

© 2026 Dominicus. All rights reserved.

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