Michael Micah

I am Michael Micah, an AI/ML Engineer and Data Analyst with 3 years of hands-on experience in autonomous systems development, computer vision, and data analysis. My recent work involves contributing to a self-driving vehicle project using the CARLA simulation, where I developed and deployed object detection models such as YOLOv8 and YOLOv10 Nano. These models were trained and integrated to enhance vehicle perception and decision-making systems. I have collaborated on creating realistic traffic scenarios, depth estimation using DepthAnything, and eight-camera object detection setups to advance autonomous vehicle technologies.

Previously, I spent 1 year at HardSands Technology, focusing on data entry, data processing, and analysis for AI model training. During this time, I utilized tools such as TensorFlow, Keras, Roboflow, and OpenCV to manage and analyze large datasets with precision and efficiency. My responsibilities included organizing raw data, annotating images, and developing pipelines to ensure seamless data integration into machine learning workflows. These experiences helped me build a solid foundation in data quality assurance and analytical problem-solving.

Beyond my technical contributions, I have conducted research and addressed challenges in autonomous systems, including model generalization and perspective diversity. Inspired by leading research in the field, I’ve worked on optimizing models to adapt to diverse camera perspectives and environments. I am also currently developing an AI assistant and home automation system, reflecting my dedication to building innovative and user-centered solutions.

• Machine Learning and AI: Expertise in YOLO frameworks, TensorFlow, and Keras.
• Data Analysis and Entry: Proficiency in organizing, processing, and analyzing datasets for AI projects.
• Programming: Advanced Python skills for data structures, algorithms, and model deployment.
• Autonomous Systems: In-depth experience with CARLA simulation, decision-making algorithms, and ADAS testing.

I am a results-driven professional committed to continuous learning and delivering value through impactful solutions. My portfolio includes projects that highlight innovation and technical expertise, such as object detection systems and simulation-based autonomous vehicle control.

If you’re seeking a team member who blends AI engineering capabilities with strong data analysis expertise, I would be thrilled to contribute to your organization. Samples of my work and relevant project outcomes are available upon request.

Let me know if further refinements are needed!