Software Engineer

Muteeb Tariq.

Android · Web · AI-assisted development

I build production Android apps, web experiences, and AI-assisted tools — pairing strong programming fundamentals with modern AI to ship clean, high-impact work.

Muteeb Tariq Lahore, Pakistan
Muteeb TariqSoftware Engineer
Scroll to explore Android · Web · AI
01 Vitals

Building user-centric software across mobile, web, and AI — fundamentals first, shipped with care.

Aspiring Software Engineer with hands-on experience across mobile (Android / Kotlin), web (JavaScript / React), and AI/ML-based projects — applying OOP and software engineering fundamentals to solve real problems.

I care about clean architecture, readable code, and tools that genuinely help people. Whether it’s a native Android app, a full-stack web system, or an ML model behind a simple interface, I like taking an idea from first sketch to something that runs.

Muteeb Tariq / Software Engineer
Through the years
2022
Bachelor’s in Information Technology
University of Education · CGPA 3.11
’22–’24
Computer Science
University of Management & Technology (UMT), Lahore · CGPA 3.30
2024
Dean’s Merit Award
UMT · recognised for academic performance, GPA 3.83 / 4.00
2025
Software Engineering Intern
Fronus Solar · Lahore — AI & mobile work on inverter systems
02 Engineering Experience

Building across Android, web & AI.

I.
Software Engineering Intern
Fronus Solar — Solar Inverter Manufacturer · Lahore
2025

Software Engineering Intern

Fronus Solar · Lahore, Pakistan

Contributed to AI-enhancement and mobile-application work on Fronus’s solar inverter product line — improving how the system reads and interprets data, and helping ship mobile experiences around it.

AI Enhancement
Contributed to AI enhancement work focused on improving the inverter system’s data-reading capability.
Data Accuracy
Improved data-interpretation accuracy so the system delivers more reliable output and clearer performance insights.
Mobile App
Collaborated with the team on mobile application development supporting the inverter product line.
Real-World Systems
Gained hands-on experience with real-world software systems, AI-based improvements, and product workflows.
1Internship
4Key contributions
AIInverter systems
PKLahore
03 Technical Toolkit

The stack I build with.

Six working areas I reach for across mobile, web, and AI-assisted development — from first sketch to shipped system.

T.01

Languages

C++JavaScriptKotlinPythonJava
T.02

Web & Front-End

HTML5CSS3JavaScriptReact
T.03

Mobile

Android (Kotlin)FlutterAndroid StudioREST APIs
T.04

AI / Machine Learning

ML basicsNLPSentiment AnalysisModel integrationScikit-Learn
T.05

Databases & CS

MySQLSQLDatabase designOOPData Structures
T.06

Tools & AI Productivity

GitGitHubVS CodeFirebaseCursorCopilotClaude
04 Selected Work

Five projects, built and shipped.

A mix of academic, AI/ML, and Android work — each one a real problem taken from idea to a running result.

M A F Plate I
Final-year project

Medicine Alternative Finder

Affordable medicine, found with AI.

A medical web platform that applies AI/ML to help users find affordable, alternative medicine formulas — with a chatbot that analyzes alternatives and recommends cost-effective options, including direct brand comparisons.

Built around accessibility: surfacing suitable lower-cost medicines and real-time guidance for non-technical users.

StackHTML · CSS · JS · AI/ML
RoleDeveloper
StatusFinal-year project
AI/MLWebChatbotAccessibility
NLP Plate II
AI / NLP

Tweet Sentiment Classifier

Baseline vs transformer, benchmarked.

An NLP classifier that benchmarks a TF-IDF baseline against a fine-tuned DistilBERT model to maximise accuracy on sentiment classification.

Includes a reusable data-cleaning pipeline designed to handle noisy, real-world datasets at scale.

StackPython · Scikit-Learn · DistilBERT
RoleDeveloper
StatusCourse / NLP
PythonScikit-LearnDistilBERTNLP
Plate III
Android

Listen — Music Player

Offline playback, architected to grow.

A feature-rich Android music player with seamless offline playback and local storage access.

Architected as a modular, scalable structure designed for future online-streaming integration.

StackKotlin · XML
RoleDeveloper
StatusPersonal / Android
KotlinAndroidOffline-firstModular
Plate IV
Machine Learning

Customer Churn Prediction

Who leaves, and the why behind it.

A Random Forest model trained to predict telecom customer churn from historical usage data.

Deployed as an interactive Streamlit demo for real-time churn visualisation.

StackPython · Random Forest · Streamlit
RoleDeveloper
StatusML demo
PythonRandom ForestStreamlitML
</> Plate V
Web Development

Website Projects

Full-stack practice, end to end.

Multiple full website projects, including a Hospital Management System and a Bakery Management System.

Implemented record management, user interaction, and responsive layouts to strengthen front-end and full-stack skills.

StackHTML · CSS · JS · React
RoleDeveloper
StatusCoursework / Web
HTMLCSSJavaScriptReact
05 Education & Recognition

Where I learned the craft.

2022 — 2026

Bachelor’s in Information Technology

University of Education
3.11CGPA
2022 — 2024

Computer Science

University of Management & Technology (UMT), Lahore
3.30CGPA
🏆
Dean’s Merit Award — UMT
Recognised for outstanding academic performance.
3.83 / 4.00
06 The Candidature

Let’s build something together.

Looking for entry-level Software Engineer, Junior Developer, or AI/ML roles. Reach out — I’d love to talk.