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AI Engineer with 2+ years in AI/ML & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Data Science Researcher with 2 years of experience in developing AI/ML solutions for complex problems in histopathology and genomics. Proficient in Deep Learning, Computer Vision, and various data analysis techniques, with a strong focus on advancing precision medicine through multi-modal data processing and visualization. Skilled in building and deploying web applications for clinical use.
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Bachelor of Science · Computer Engineering
January 1, 2021 – January 1, 2025
Precision Medicine Lab | RMI Peshawar
Data Science Researcher
June 1, 2024 – Present
Peshawar, Khyber Pakhtunkhwa, Pakistan
Multiclass Emotion Recognition and Object Detection leveraging YOLO V8
January 1, 2025 – Present
Developed a pipeline for multiclass emotion detection using CNNs and wavelet transforms to enhance recognition accuracy. Integrated YOLO v8 for real-time object detection and classification in images and videos. Optimized image preprocessing with contrast enhancement and PyWavelets for improved detail extraction.
Foreign Object Debris Detection and Localization (FYP)
January 1, 2025 – Present
Implemented foreign object debris detection using YOLO v11 with precise localization via Google Maps. Enhanced detection accuracy super-resolution techniques for cameras positioned 150m away from the runway. Developed a web application for real-time FOD detection and visualization.
Heart Disease UCI Prediction & Diagnosis
January 1, 2025 – Present
Performed feature selection SelectKBest and ExtraTreesClassifier to identify key predictors of heart disease. Analyzed relationships between age, BP, and cholesterol levels, visualizing joint distributions and residuals. Utilized a Decision Tree Classifier for accurate prediction of heart disease occurrence.
Cultural Fit Analysis
The candidate's academic projects and current research role demonstrate a strong interest and capability in cutting-edge AI/ML applications, particularly in computer vision and medical domains. The diversity of projects (FOD detection, emotion recognition, heart disease prediction, cancer detection, genomics) indicates adaptability and a broad interest in applying AI to various challenges. This aligns well with a dynamic AI engineering environment that values innovation and continuous learning. The use of open-source tools and frameworks also suggests a collaborative mindset.
Soft Skills & Operational Fit
The candidate lists problem-solving, collaboration, communication, adaptability, time management, leadership, and attention to detail as soft skills. The project descriptions suggest an ability to work on complex, multi-faceted problems and integrate different technologies, indicating good problem-solving and potentially collaboration skills. However, without direct assessment, the operational fit based on these soft skills is inferred.