31, simpson street, Adekunle, 101245, Lagos
(-,-,-
Linkedin: Michael Micah
Github: @Micahmichael03-
MICHAEL CHUKWUEMEKA MICAH
SKILLS
❖ Mechanical & Software Engineering: Python, JavaScript, backend development and Autocad.
❖ Proficient in AI/ML: Neural Networks, Deep Learning, Generative AI.
❖ Expertise in Computer Vision: Convolutional Neural Networks (CNNs), self-driving car visual
perception for object detection, AI home assistant development, text-to-speech systems, speech
and face recognition.
❖ Data Analytics & Data Modeling: SQL, Excel, spreadsheets, with strong attention to detail and
data integrity.
❖ Cybersecurity: Strong knowledge of cybersecurity principles.
EXPERIENCE
Hard Sands Technology, Lagos State, Nigeria — Backend Developer
(Internship) July 2023 - January 2024
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Assisted the team in developing a client-facing web chat application and integrating it with Slack, enabling
developers to communicate with clients.
Collaborated with the growth and design teams to design various connections between the front end and
Slack.
Identified and implemented solutions to significantly optimize the client-facing web chat application,
resulting in reduced repository build time and improved application audit and performance scores.
Utilized expertise in JavaScript, TypeScript, WebSockets, Slack, React, Next.js, and Node.js.
Rakechat, Lagos, Nigeria — AI/computer vision Engineer
(Remote)October 2023 - May 2024
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Developed and implemented deep learning models using TensorFlow for various AI applications.
Utilized Convolutional Neural Networks (CNN) for image and video annotation projects.
Created text-to-speech systems leveraging TensorFlow and advanced neural network techniques.
Applied YOLO (You Only Look Once) for real-time object detection tasks.
Engineered speech and face recognition models to enhance security and user authentication.
Trained AI models to detect NSFW content, ensuring safe and compliant user experiences.
Employed Python extensively for data preprocessing, model training, and deployment.
Nigeria Maritime University, Delta state, Nigeria — Computer vision project
(Final Year Project) June 2024 - october 2024
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Advancing visual perception and object detection in autonomous vehicle using neural network
The aim was to develop an artifical neural network for effective object detection in self-driving vehicles.
The objectives were to spawn 8 cameras around the vehicle for 360 degree coverage for data collection and
object detection.
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Annotate the dataset gotten from the cameras and train an AI model using YOLOv8 nano model for high
speed detection.
Implement and test the trained model into the simulation named CARLA for accurate object detction during
navigation.
EDUCATION
Nigeria Maritime University, Nigeria — Mechanical Engineering
(B.eng)December 2019 - October 2024, Delta state
AWARDS
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Introduction to Microsoft Excel at Coursera Project Network.
https://www.coursera.org/account/accomplishments/records/CYZPANZ6G5WF.
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Introduction to Data Analysis using Microsoft Excel for Coursera Project Network.
https://www.coursera.org/account/accomplishments/records/4SXFU4BJ229H.
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Using Basic Formulas and Functions in Microsoft Excel for Coursera Project Network
https://www.coursera.org/account/accomplishments/records/BXCVQ82DA3DX.
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Introduction to Generative AI at Google Cloud.
https://www.coursera.org/account/accomplishments/records/LLTXAR8NG7X4.
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Introduction to Self-Driving Cars at University of Toronto.
https://www.coursera.org/account/accomplishments/records/C9VW8MRZEUGS.
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Introduction to Artificial Intelligence (AI) (with Honors)at IBM.
https://www.coursera.org/account/accomplishments/records/VJBC5SBA2QS9.
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AI For Everyone at DeepLearning.AI
https://www.coursera.org/account/accomplishments/records/LZMVWUN5DXF3.
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Foundations of Cybersecurity at Google.
https://www.coursera.org/account/accomplishments/records/TX6YNHBP435A.
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Developing Back-End Apps with Node.js and Express at IBM.
https://www.coursera.org/account/accomplishments/records/KKU7U32K8JH5.
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Computer Vision Basics at University at Buffalo The State University of New York.
https://www.coursera.org/account/accomplishments/records/AGDEK44J8NQH.
