Entry-level AI Engineer with strong focus on Data Science, Machine Learning, and App Development
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Maaz Ali Khan is an aspiring AI/ML Engineer and Data Analyst pursuing a Bachelor of Science in Data Science. With hands-on experience in developing AI-powered applications, he excels in areas such as computer vision, natural language processing, and data visualization. His project portfolio demonstrates proficiency in Python, deep learning frameworks, database management, and cloud technologies, showcasing his ability to build end-to-end solutions and deliver actionable insights.
NUCESFAST UNIVERSITY ISLAMABAD
Bachelors of Science · Data Science
August 1, 2022 – June 30, 2026
PMP MedicalPortal
Internee App developer
October 1, 2025 – Present
India
PMP Medical Portal - AI-Powered Health Report Analysis & Management Platform
October 1, 2025 – June 1, 2026
AI-Powered Report Analysis – Upload medical reports and get instant AI-generated summaries with health insights. Personalized Health Advice – AI evaluates conditions and provides expert recommendations for better care. Secure Family Report Management – Store reports under respective family members for easy access and safe cloud storage. Downloadable & Accessible Summaries – View, retrieve, and download medical summaries anytime for seamless health tracking.
ToothX - AI-Based Dental Disease Detection & Localization
July 1, 2025 – June 1, 2026
Developed a Computer Vision healthcare application using YOLOv8 for real-time detection and localization of dental diseases from intraoral images. Trained modular AI models for Dental Caries, Hypodontia, Dental Calculus, Ulcer, and Gingivitis using annotated datasets with bounding-box visualization. Integrated all models into an interactive Streamlit dashboard for AI-powered clinical prediction and decision support.
Spotify Clone & Song Recommendation System
January 1, 2025 – June 1, 2025
Developed a full-stack music streaming app (Flask, MongoDB, HTML/CSS) with personalized song recommendations. Used Apache Spark, Kafka, and HDFS for scalable data processing and storage.
Electricity Demand Forecasting & Clustering
September 1, 2024 – March 1, 2025
Built models (Random Forest, XGBoost) to impute missing demand data and forecast electricity usage. Used weather and time-based features to capture seasonal patterns and improve accuracy. Applied clustering to identify hourly consumption patterns.
Tumor Detection with Computer Vision
August 1, 2024 – January 1, 2025
Built a Python-based pipeline using PyTorch and OpenCV to preprocess, augment, and analyze medical images with tumor mask visualization.
Audio Classification with Machine Learning
June 1, 2024 – October 1, 2024
Developed a Random Forest model using MFCC features to distinguish real vs. fake audio, with feature analysis and visualization.
Street Fighter AI Bot
March 1, 2024 – August 1, 2024
Collected and processed real gameplay data frames for training the model. Utilized neural networks to train the bot to recognize patterns, predict opponent moves, and make real-time decisions. Enabled the bot to implement the most optimal fighting move based on its predictions and the current game state.
Country Wise Aids Infectected People, From 1997-2013
January 1, 2024 – May 1, 2024
Collected and cleaned data on AIDS-infected individuals across various countries from 1997 to 2013. Visualized infection trends using line graphs, heatmaps, Sun burst and geographical maps to highlight regional patterns. Presented findings in an interactive dashboard/report and Story board.
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering healthcare, gaming, audio processing, and recommendation systems, which suggests adaptability and a broad interest in AI applications. The academic nature of most projects and limited professional experience (one internship) means cultural fit is primarily inferred from the breadth of technical exploration rather than demonstrated workplace collaboration or alignment with specific company values. The target role of 'AI Engineer' aligns well with the candidate's technical focus.
Soft Skills & Operational Fit
The candidate demonstrates initiative through diverse academic projects, indicating a proactive learning attitude. The PMP Medical Portal project, though an internship, shows an ability to apply AI in a practical, user-facing application. However, the lack of completed soft skill assessments or detailed descriptions of collaborative work makes it difficult to fully assess operational fit and teamwork capabilities.