AI Engineer with less than a year in AI/ML and Data Science projects.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional currently pursuing a Bachelor of Science in Data Science, specializing in AI/ML, Data Analysis, and App Development. Possessing a strong foundation in Python, machine learning, deep learning, and data visualization tools, demonstrated through significant academic projects. Eager to apply technical skills in developing innovative AI-powered solutions, with a focus on healthcare, music recommendation, and forecasting, and a commitment to continuous learning and impactful contributions.
NUCESFAST UNIVERSITY ISLAMABAD
Bachelors of Science · Data Science
August 1, 2022 – July 1, 2026
PMP MedicalPortal
Internee App developer
October 1, 2025 – June 1, 2026
India
Electricity Demand Forecasting & Clustering
December 1, 2025 – May 1, 2026
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.
ToothX - AI-Based Dental Disease Detection & Localization
November 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.
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.
Tumor Detection with Computer Vision
October 1, 2025 – April 1, 2026
Built a Python-based pipeline using PyTorch and OpenCV to preprocess, augment, and analyze medical images with tumor mask visualization.
Street Fighter AI Bot
September 1, 2025 – March 1, 2026
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.
Spotify Clone & Song Recommendation System
September 1, 2025 – June 1, 2026
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.
Country Wise Aids Infectected People, From 1997-2013
August 1, 2025 – December 1, 2025
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
Audio Classification with Machine Learning
August 1, 2025 – February 1, 2026
Developed a Random Forest model using MFCC features to distinguish real vs. fake audio, with feature analysis and visualization.
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering healthcare, gaming, audio processing, and data visualization, indicating a broad interest in applying AI across different domains. The academic nature of most projects suggests a strong learning orientation. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical skills and project focus. The use of various technologies like Python, PyTorch, OpenCV, Spark, and Kafka shows adaptability and a willingness to explore different tools, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a project-oriented mindset, having completed numerous academic projects. The internship experience, though brief, shows an ability to apply AI in a professional context. The project descriptions indicate an understanding of end-to-end development from data collection to deployment. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.