Mian Muhammad Umair Naeem

AI/ML + Full-Stack Developer

I build machine-learning powered web and mobile products — from ML pipelines and dashboards to real-world apps using Python, React Native, Node.js, and Firebase.

About Me

Mian Muhammad Umair Naeem — Profile Photo

I'm a Computer Scientist from NUST building AI-powered software products. I work where machine learning meets software engineering — shipping full-stack tools people actually rely on.

What I Build

  • ML pipelines & dashboards
  • LLM-integrated applications
  • Cross-platform mobile/web products
  • Data automation tools

What I Use

  • Python · scikit-learn · Streamlit
  • React Native · Node.js · TypeScript
  • Firebase · MongoDB · SQL
  • Git · REST APIs · Agile

What I care about: reliable AI systems that are actually usable.

2+ Deployed AI Products
Data Science Intern at ITSOLERA
3 Relevant Certs

Projects

Featured Projects

More Projects

PSX Statistical Analysis

Dimensionality reduction on Pakistan Stock Exchange data — 95% variance retained.

Impact

  • Applied PCA retaining 95% explained variance
  • Deep EDA identifying correlations and outliers
Python Pandas scikit-learn

Multi-Platform Task Manager

One backend, two clients — web and mobile from a single Node.js API.

Impact

  • Unified RESTful API serving Next.js web + React Native mobile
  • JWT authentication with role-based access
Next.js React Native Node.js

Ride-Sharing Simulation

Graph algorithms for real-world routing and dynamic pricing in C++.

Impact

  • Dijkstra's algorithm for shortest-path routing
  • Priority queues for low-latency dispatch
C++ Dijkstra's OOP

Experience

ITSOLERA PVT LTD Internship Jul 2025 – Sep 2025 Islamabad, Pakistan

Data Science Intern

Key Responsibilities

  • Built end-to-end ML pipelines encompassing data cleaning, feature engineering, and statistical analysis using Python, Pandas, and SQL.
  • Developed and evaluated regression and classification models using cross-validation and robust evaluation metrics (ROC-AUC, F1-score).
  • Designed and deployed Streamlit dashboards to communicate model outputs and analytical insights to non-technical stakeholders.
  • Developed Python automation scripts and modular reusable components to improve internal processing efficiency and system maintainability.

Key Achievements

  • Streamlined internal data processing workflows through Python automation, significantly reducing manual effort and improving system maintainability across the engineering team.
  • Contributed to backend logic integration for internal analytics dashboards within an Agile team, delivering insights to cross-functional business stakeholders on schedule.

Education

Bachelor of Science in Computer Science

National University of Sciences and Technology (NUST)

Islamabad, Pakistan 2021 – 2025 Full-time

Key Highlights

Skills

AI & Machine Learning

Python scikit-learn Pandas NumPy Streamlit ML Pipelines Model Evaluation LLMs / Prompt Engineering

Full-Stack Development

React.js React Native Next.js Node.js TypeScript HTML5 CSS3 Tailwind CSS REST APIs JWT Auth

Data & Databases

Firebase MongoDB PostgreSQL / SQL Matplotlib EDA & Statistics

Tools & Practices

Git & GitHub Postman Agile / Scrum OOP C++

Certifications

Data Science Internship

Professional Certificate

View Certificate

Generative AI Assistants Specialization

Specialization Certificate

View Certificate

Advanced Prompt Engineering Certificate

Professional Certificate

View Certificate

Let's Build Something Intelligent

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