Available for Opportunities

Bridging Innovation & Code with AI & Full-Stack

I am a AI Engineer|

Hi, I'm Alishba Mazhar. A Computer Science student at UET Lahore passionate about designing intelligent solutions using Machine Learning, Large Language Models, MERN Stack, and Flutter.

View Projects Download CV

alishba_ai_agent.py

                                from typing import List
                                import torch, langchain
                                
                                class AIEngineer:
                                    def __init__(self):
                                        self.role =
                                    "AI Engineer"
                                        self.stack =
                                    ["LLMs", "XAI", "Flutter"]
                                    
                                    def solve_problem(self, data):
                                        return agent.explain_prediction(data)
                            

ML / LLMs RAG & Predictions

MERN & Flutter Full-Stack Apps

Get To Know Me

Professional Summary

I am a final-year Computer Science student at the University of Engineering and Technology (UET), Lahore, set to graduate in 2026. My passion lies at the intersection of traditional software engineering and artificial intelligence.

Throughout my academic journey, I have developed expertise across diverse stacks including the MERN (MongoDB, Express, React, Node.js) framework, .NET Core, Flutter, and Python. I specialize in creating AI-powered systems—ranging from automated version control utilities using Large Language Models to diagnostic machine learning architectures in healthcare.

As a researcher and developer, I constantly seek out challenging engineering problems. My academic achievements, coupled with hands-on development and teaching assistant roles, reflect my dedication to creating reliable, modern, and user-centric software.

Location: Lahore, Pakistan

Email: sheikhalishba878@gmail.com

University: UET Lahore (2022 - 2026)

Phone: 0301-0966661

Core Focus Areas

Generative AI & LLMs

Developing semantic RAG architectures, multi-agent frameworks, and prompt engineering utilities via LangChain.

Machine Learning

Supervised clinical diagnostic modeling, advanced class-balancing (SMOTE), and classifier benchmarking (Random Forest).

Flutter Mobile App

Developing highly responsive, cross-platform Android & iOS applications using Dart, state management, and REST API integrations.

Full-Stack Web Apps

Architecting secure enterprise MERN stack web portals, Express microservices, and high-performance ASP.NET Core backend Web APIs.

Technical Arsenal

Skills & Technologies

Languages

95%

Python

85%

80%

C++

90%

Dart

80%

TypeScript

90%

JavaScript

88%

SQL

Stacks

92%

Flutter

88%

MERN Stack

82%

ASP.NET Core

80%

.NET Framework

85%

LangChain

90%

Scikit-Learn

Databases

85%

SQL Server

88%

MongoDB

90%

MySQL

78%

Neo4j

Tools & QA

80%

Power BI

82%

Azure VMs

90%

Postman

85%

Selenium

80%

OpenCV

85%

Jira

Professional Growth

Work Experience

Nov 2024 - Present

Teaching Assistant (TA)

UET Lahore, Computer Science Department

Academic Role

Directing and mentoring OOP (Object-Oriented Programming) laboratory sessions using **C++** and **C#** for junior students.

Supervised students in understanding and executing object-oriented concepts: Encapsulation, Inheritance, Polymorphism, and Abstraction.
Guided debugging sessions, designed coding assignments, conducted evaluations, and provided qualitative feedback to optimize logic building and algorithmic thinking.
Developed auxiliary laboratory manuals and review materials to bridge academic lectures with hands-on implementation in integrated development environments.

My Creative Work

Featured Projects

AI / VS Code Final Year Project

AutoGit

An AI-powered VS Code extension automating commit creation and mapping code evolution semantically.

Python Neo4j LangChain LLMs Node.js

Mobile App Completed

SmartPouch

AI-powered expense tracking application that automates budget categorization and financial insights.

Flutter Dart Python LLMs MySQL

SaaS Web Completed

Eduvance

AI-powered SaaS school management platform streamlining timetables, LMS plans, and administrative workflows.

MERN Stack TypeScript Azure Functions Vercel

Full-Stack App Completed

Nextay App

Complete hotel management platform integrating room booking, staff workflows, and a cross-platform Flutter UI.

Python Flask Flutter MySQL

ML Model Completed

Asthma Prediction Across Lifespan

Published research paper utilizing Machine Learning and Explainable AI (XAI) to predict asthma risk across patient lifespans with 95.15% accuracy.

Python Scikit-learn Explainable AI Random Forest

Computer Vision Completed

Facial Attendance System

Attendance system using OpenCV face recognition and Flutter mobile dashboards to eliminate check-in bottlenecks.

Flutter Python OpenCV Dart

DSA / GUI Completed

Web Scraping & Sorting

High-performance data extraction scraping 100,000+ Etsy products, sorted and queried with custom algorithm implementations.

Python GUI Selenium DSA PyCharm

Published Findings

Research & Publications

Authored Paper

Asthma Prediction Across Lifespan Using Machine Learning and Explainable AI

Alishba Mazhar | University of Engineering and Technology, Lahore

Core Achievements & Methodologies

Developed and published a high-accuracy machine learning framework diagnosing asthma severity by evaluating demographic matrices, multi-tiered medical profiles, and regional environmental indicators.

Pre-processing Engine: Managed dense feature skewness and extreme class imbalances using SMOTE (Synthetic Minority Over-sampling Technique) to ensure model generalization across low-sample data groups.
Model Architecture: Synthesized, evaluated, and tuned multi-class models (SVMs, Naive Bayes, Decision Trees) with the Random Forest model achieving peak accuracy levels of 95.15%.
Explainable AI (XAI): Deployed model interpretability frameworks (SHAP/LIME) to map critical clinical decision pathways, highlighting key risk features (air quality, hereditary history) for healthcare providers.
Metrics Optimization: Evaluated models using rigorous precision, recall, and F1-score matrices, aiming to minimize critical false-negatives in clinical risk estimation.

Read Paper (Overleaf) View Repository

LaTeX Article - UET CS

Asthma & Explainable AI

                                        SHAP Feature Impact

Air Quality

Genetics

Age Profile

95.15% F1-Accuracy

My Background

Education & Certifications

BS (Hons) Computer Science

UET Lahore

3.69 CGPA / 4.00

8th Semester (Final Year)

2022 — 2026

Teaching Assistant — PF & OOP Labs

HEC Laptop Award — High Academic Merit

Merit Scholarship — UET CS Department

July 2025

NLP and its Transformers

Coursera Certification

HackerRank Verified

SQL (Basic, Intermediate & Advanced)

HackerRank Certification

Academic Recognition

Certificate of Appreciation

Higher Education Commission (HEC), Pakistan

Get In Touch

Contact Information

Send an Email sheikhalishba878@gmail.com

Connect on LinkedIn linkedin.com/in/alishba-sheikh-060419269

Current Address Lahore, Pakistan

Phone & Whatsapp 0301-0966661

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