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Shayanakbar90/README.md
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About Me

I am a Bachelor of Artificial Intelligence student at the University of Wah, working toward a professional career as an AI Engineer.

My primary interest is building intelligent, data-driven solutions that address practical problems through machine learning, Python development, and reliable software engineering.

I began building my professional presence and technical portfolio during my first semester. Rather than waiting until graduation, I have focused on developing projects, completing internships, documenting my work, and deploying functional applications from the beginning of my degree.

  • Based in Wah Cantt and Taxila, Pakistan
  • Currently in the 3rd semester
  • Expected graduation: 2029
  • Current CGPA: 3.64
  • Career direction: Artificial Intelligence and Machine Learning Engineering
  • Open to internships, technical collaboration, and project-based learning


Professional Focus

Primary Goal       AI Engineer
Core Language      Python
Main Interests     Machine Learning · Deep Learning · Intelligent Applications
Current Approach   Learn → Build → Test → Document → Deploy

My current technical interests include:

  • Machine learning systems
  • Python application development
  • Data analysis and visualization
  • Model evaluation
  • Deep learning
  • Natural language processing
  • Computer vision
  • Production-ready AI applications

Education

Qualification Institution Current Stage CGPA Expected Graduation
Bachelor of Science in Artificial Intelligence University of Wah 3rd Semester 3.64 2029

Relevant Coursework

  • Programming Fundamentals
  • Object-Oriented Programming
  • Python Programming
  • Java Programming
  • Data Structures and Algorithms
  • Database Fundamentals
  • Machine Learning
  • Artificial Intelligence Fundamentals
  • Software Development
  • Deep Learning Fundamentals

Technical Skills

Technical skills

Programming Languages

Python Java C++ C HTML5 CSS3

Artificial Intelligence and Data

Machine Learning Data Analysis Data Visualization Model Evaluation Rule-Based AI Recommendation Systems

Databases and Development Tools

MySQL SQL Git GitHub VS Code NetBeans Google Colab Canva

Deployment

Streamlit GitHub Pages


Featured Projects

Deployed Applications

Nova — Rule-Based AI Chatbot

A deterministic conversational application that matches normalized user input with predefined responses.

Key functionality

  • Rule-based response matching
  • Input normalization
  • Fallback handling
  • Exit-command detection
  • Session-based chat history
  • Streamlit web interface

Technology: Python · Streamlit


Live Demo

Repository

Tech Stack Recommender

A content-based recommendation application that compares user-selected skills with technology-role profiles and returns relevant career recommendations.

Key functionality

  • Skill-profile input
  • TF-IDF feature weighting
  • Cosine-similarity scoring
  • Ranked recommendations
  • Matched-skill explanations
  • Skill-gap identification

Technology: JavaScript · HTML · CSS


Live Demo

Repository


CodeAlpha Artificial Intelligence Projects

Language Translation Tool

A practical translation application designed to process user-provided text and convert it between supported languages through a structured interface.

Focus

  • Text processing
  • Language translation workflow
  • User-input handling
  • Application interface development

Repository

FAQ Chatbot

A structured chatbot designed to answer frequently asked questions through predefined intent-response rules.

Focus

  • Conversational logic
  • Question-response mapping
  • Input processing
  • Fallback handling

Repository

Music Generation AI

An experimental artificial intelligence project focused on generating structured musical output through computational patterns.

Focus

  • AI-assisted generation
  • Sequential data concepts
  • Creative computing
  • Python-based experimentation

Repository

CodeAlpha Project Collection

A consolidated internship repository containing the three artificial intelligence projects completed during the CodeAlpha internship.

Included projects

  • Language Translation Tool
  • FAQ Chatbot
  • Music Generation AI

Collection


Machine Learning Projects

Credit Card Fraud Detection

A machine-learning project focused on identifying fraudulent credit-card transactions within a highly imbalanced dataset.

Technical focus

  • Imbalanced classification
  • Fraud-pattern detection
  • Model evaluation
  • Threshold selection
  • False-positive and false-negative analysis
  • Data-drift considerations

Status: Completed

Customer Churn Prediction

A supervised machine-learning project developed to identify customers who may discontinue using a service.

Technical focus

  • Data preprocessing
  • Classification workflow
  • Feature analysis
  • Model training
  • Performance evaluation
  • Business-oriented prediction

Status: Completed


Internship Experience

Organization Role Period Selected Work
Live Pakistan Machine Learning Intern May 2026 – July 2026 Customer churn prediction, credit-card fraud detection, data preparation, classification, and model evaluation
CodeAlpha Artificial Intelligence Intern July 2026 – August 2026 Language Translation Tool, FAQ Chatbot, and Music Generation AI
DecodeLabs Artificial Intelligence Intern August 2026 – Present Rule-Based AI Chatbot and Tech Stack Recommender

Experience Highlights

  • Built machine-learning and artificial-intelligence projects across three internship environments
  • Developed both command-line and browser-based applications
  • Created rule-based and recommendation-system logic
  • Deployed applications using Streamlit Community Cloud and GitHub Pages
  • Practiced technical documentation and repository organization
  • Used Git and GitHub for source control and project presentation

Certification

Certification Issuing Organization Credential Verification
Critical Thinking in the AI Era HP LIFE c60a6a6a-1e77-42e0-a75b-382b8e016530 Verify Credential

Additional certifications should be added only with their exact official title, issuing organization, completion date, and verification link.


Academic and Professional Highlights

  • Maintaining a 3.64 CGPA in the Bachelor of Artificial Intelligence program at the University of Wah
  • Began building a public technical portfolio from the first semester
  • Completed practical AI and machine-learning work across multiple internships
  • Developed and deployed a rule-based chatbot and recommendation application
  • Built machine-learning projects involving customer churn and financial fraud detection
  • Earned the HP LIFE Critical Thinking in the AI Era credential
  • Maintains structured GitHub repositories with source code, documentation, and live demonstrations

Currently Learning

Artificial Intelligence

  • Deep learning
  • Natural language processing
  • Computer vision
  • Generative AI
  • Large language models
  • Model optimization

Software Engineering

  • Advanced data structures and algorithms
  • Production-ready Python applications
  • API development
  • Database integration
  • Application testing
  • AI application deployment

Current Development Direction

01. Strengthen machine-learning fundamentals
02. Build larger end-to-end AI projects
03. Improve data structures and algorithmic thinking
04. Develop production-ready Python applications
05. Study NLP, computer vision, and deep learning
06. Prepare for professional AI engineering roles

Connect With Me

I am open to artificial-intelligence internships, technical collaboration, project development, and learning opportunities.


LinkedIn Email GitHub


Wah Cantt and Taxila, Pakistan


Building strong foundations for a career in artificial intelligence.

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  1. DecodeLabs_Tasks DecodeLabs_Tasks Public

    Artificial Intelligence internship portfolio featuring a Python and Streamlit rule-based chatbot and a TF-IDF cosine-similarity tech stack recommender.

    JavaScript