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Software & AI/ML

Shehryar NaveedSoftware & AI/ML Engineer

Building intelligent, scalable software — from machine learning pipelines and deep learning models to the web apps that put them in front of real users.

  • Machine learning, deep learning and generative AI
  • Full-stack delivery with React, Django and Flask
  • Open to internships, roles and collaborations
Lahore, PakistanOpen to work
Portrait of Shehryar Naveed

Currently

Tech Clan

Featured Projects
6+Featured Projects
Public Repos
13Public Repos
Core Technologies
12Core Technologies
Specialisation
AI/MLSpecialisation
About me

Background & Skills

Who I am, what I work with, and how I got here.

SN

Shehryar Naveed

Software & AI/ML Engineer

I'm a software and AI/ML engineer who enjoys turning messy problems into systems that actually ship. My work spans classical machine learning, deep learning and generative AI, alongside the full-stack engineering needed to get those models in front of real users.

Location
Lahore, Pakistan
Local time
--:-- GMT+5
Open to work

Based in

Lahore

GMT+5

Who I am

I'm a software and AI/ML engineer who enjoys turning messy problems into systems that actually ship. My work spans classical machine learning, deep learning and generative AI, alongside the full-stack engineering needed to get those models in front of real users.

I believe the best digital products combine strong engineering with intelligent functionality. I specialise in building scalable applications and AI-powered systems that deliver performance, reliability and genuinely useful experiences.

Technical focus

Focused on machine learning, generative AI and data-driven products, with the full-stack skills to take them from notebook to deployment.

  • Python & Machine Learning
  • Deep Learning & LLMs
  • Data Science & EDA
  • Web Dev (React / Django)

Skills

Self-assessed
Data Science95%
Python90%
Machine Learning85%
Generative AI80%
Django75%
React70%

Tools & technologies

The stack I reach for across machine learning and web work.

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Streamlit
  • Django
  • Flask
  • React
  • JavaScript
  • HTML5
  • CSS
  • Git

Education

  1. BSc Software Engineering

    University of Management and Technology, Lahore

    2022 — 2026

    GPA 3.79

Certifications

  • Machine Learning with Python (with Honors)IBM · Coursera, June 2024
Selected work

Featured Projects

A selection of machine learning, deep learning and full-stack builds, each with source on GitHub.

  • Machine Learning

    House Price Prediction

    End-to-end regression project that predicts house prices from property features, wrapped in an interactive Streamlit app for live what-if analysis.

    • Python
    • scikit-learn
    • Linear Regression
    • Streamlit
  • Deep Learning

    Text Classifier (BERT)

    Fine-tuned a BERT transformer to classify IMDB movie reviews as positive or negative, served through a Streamlit interface for instant inference.

    • PyTorch
    • Transformers
    • BERT
    • Streamlit
  • Deep Learning

    Customer Churn Prediction

    Artificial neural network that flags telecom customers likely to churn, covering feature engineering, training and a deployed prediction dashboard.

    • TensorFlow
    • Keras
    • ANN
    • Streamlit
  • Web Development

    Task Manager API

    Task management app built on Django and Django REST Framework, with a React client consuming a clean, fully CRUD-capable REST API.

    • Django
    • DRF
    • React
    • REST API
  • Web Development

    Furnico Storefront

    Responsive furniture-store frontend with an elegant product layout and intuitive navigation, built from scratch without a UI framework.

    • HTML
    • CSS
    • JavaScript
    • Tailwind CSS
  • Web Development

    Payroll Management System

    Flask-based payroll system handling employee records, salary calculation and payslip generation against a relational database.

    • Flask
    • Python
    • SQLite
    • Jinja
Contact

Get In Touch

Have a project in mind, a role to fill, or just want to talk shop? Send a message and I'll get back to you.

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