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AI Engineer with less than a year in Python, ML, & LangChain
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AI and data science enthusiast skilled in Python, machine learning, Lang Chain, and Fast API. I build real-world AI tools that automate analysis, generate insights, and enhance learning. Motivated to learn quickly and contribute to impactful projects.
Pak Austria Fachhochschule (PAF-IAST)
Bachelor in Artificial Intelligence · Information and Communication Technologies
February 1, 2024 – Present
Hoop Interactive
Backend Developer
April 1, 2026 – Present
Wyoming, Michigan, United States
Ctrl Alt Crew
AI Engineer
October 1, 2025 – March 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
AI-Powered Data Analysis & Visualization Tool
June 1, 2025 – June 1, 2026
End-to-end automated data analysis from a single dataset upload. Implemented cleaning, outlier detection, and interactive visualizations (histograms, scatter plots, correlations). Integrated LLMs to automatically summarize patterns, trends, and key insights.
AI-Based Self-Study & Auto-Quiz Generator
June 1, 2025 – June 1, 2026
Converted lecture slides into structured learning material with auto-generated quizzes. Built Fast API backend for file uploads, content processing, and API handling. Used embeddings and prompt chaining for accurate educational output.
YouTube Comment Analyzer - Live Chrome Extension
January 1, 2025 – December 31, 2025
Built and deployed a full-stack ML app — backend live on Railway, frontend as a working Chrome Extension. Sentiment Analysis: fetches up to 1000 YouTube comments, classifies as Positive/Negative/Neutral using 5 trained ML models (Logistic Regression, Naive Bayes, Random Forest, SVM, AdaBoost); best model saved as .pkl and served via FastAPI. Opinion Clustering: groups comments with K-Means + TF-IDF to find top 3 majority opinions, then uses Groq AI to auto-label each cluster with percentage breakdown. Results shown as an interactive donut chart inside the Chrome Extension popup using Chart.js.
Tax Filing System - Full Stack Project
January 1, 2025 – December 31, 2025
Built a complete tax filing system from scratch covering the full development lifecycle - from system design to implementation. Designed Class Diagrams and Entity Relationship Diagrams (ERD) before coding, then implemented a fully normalized relational database. Developed REST APIs using Fast API to handle tax records, user data, and file management operations. Implemented core features including tax record submission, data storage, and transaction tracking.
How to Write a Research Paper
Higher Education Commission, Pakistan — Coursera
February 1, 2026 – Present
AI For Everyone
DeepLearning.AI — Coursera
September 1, 2025 – Present
Web Scraping with Python
Duke University — Coursera
July 1, 2025 – Present
Fundamental Tools of Data Wrangling
University of Colorado Boulder — Coursera
May 1, 2025 – Present
What is Data Science?
IBM — Coursera
March 1, 2025 – Present
Python for Data Science, AI & Development
IBM — Coursera
February 1, 2025 – Present
Getting Started with Microsoft Excel
Coursera
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest in applying AI to solve real-world problems, aligning well with an innovative and impact-driven culture. The personal projects demonstrate initiative and a continuous learning mindset. The blend of backend development and AI engineering skills suggests a versatile team player who can bridge different technical domains. The candidate's education in AI further reinforces a dedicated interest in the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual capable of taking projects from conception to deployment. The diversity of projects suggests adaptability and a willingness to learn new technologies. The experience as a Backend Developer and AI Engineer, even with limited professional tenure, shows an operational fit for roles requiring both development and AI integration.