Danson Mwangi Wachira

A highly motivated software developer and machine learning engineer with expertise in AI-driven systems, deep learning, distributed systems and full-stack development. Experienced in computer vision, deep learning, and real-time AI applications. Strong background in robotic frameworks, cloud-based AI solutions, and cybersecurity with hands-on experience in Tensorflow and Data Mining. Passionate about developing scalable AI models and contributing to research in human-robot interaction and automation.

• Developed object detection and tracking algorithms for self-driving car simulations in CARLA.
• Benchmarked model performance against adversarial attacks (occlusion, perturbation).
• Integrated pre-trained CNN models (YOLO, ResNet) to test real-time decision-making robustness.

• Designed anomaly detection models to monitor unintended AI behavior in robotic environments.
• Implemented autoencoders and one-class SVM for detecting deviations from normal AI behavior.

• Built a real-time facial recognition system using OpenCV and Python.
• Implemented face detection algorithms using Haar cascades and deep learning models.

• Developed a predictive model to classify the likelihood of diabetes based on health data.
• Preprocessed the dataset by handling missing data, outlier removal, normalization, and discretization.
• Implemented Logistic Regression, Random Forest, and SVM models for classification.
• Evaluated model performance using accuracy, F1-score, and ROC-AUC.

• Designed and developed a full-stack hotel reservation system using React, Django, and MongoDB.
• Implemented backend logic for booking, cancellations, and payment workflows.
• Developed a secure and efficient database structure for managing room availability and user data.

• National Cyber League Certificate (Fall 2024)
• MIT Professional Certificate in AI and Cybersecurity (In Progress)