Samuel Akinyede

• Developed an IoT-based smart sensors using Arduino uno IDE , ESP32 devices, temperature, humidity and soil moisture sensors for Food OASES (The Project was designed to help kansas city urban growers use IoT base devices manage their produce )- https://info.umkc.edu/foodoases/
• Developed and maintained the Advanced Informal STEM Learning Management System using Moodle. Moodle an open source learning management software written mostly in PhP. ( This AISL project is designed to enhance knowledge and comfort with technology and to develop computational thinking among women who were formerly incarcerated and are now seeking to reenter the workforce or adjust to their lives outside the criminal justice system (“women in transition”) in the Midwest) https://aislwomenksmo.umkc.edu.
• Developed IoT-based sensors using Arduino uno IDE , ESP32 devices and built a BLE-mobile app in react native that calculates RSSI to distance for discovered BLE devices for an MDOT (Missouri Department of Transportation) project for Hazard Detection and Alert System to Prevent Incidents in construction zones.
• Developed a Mobile base application in react native for Modeling Safety Index in Crowd - implementation consisted of various data process such as Data Training, Feature Extraction, Safety Index (SI) Modeling and Data visualization.
• Developed a Simulation using python for Energy-Efficient CubeSat Swarm (ECuS) Formation via Software-Defined Wireless Discovery. implementation consisted use of skyfield API which generates high precision research-grade positions for planets and Earth satellites and other libraries.

• Design and Analysis of Algorithm - deficiency Course for Graduate Student.
• Operating Systems Review- deficiency Course for Graduate Student.
• Discrete Structures Review- deficiency Course for Graduate Student
• Developed and graded exams and assessments to evaluate student learning and provide feedback on performance.
• Provided individual and group instruction to tailor teaching approaches to different student needs.
• Offered guidance to students on academic and career planning to support professional goal setting.
• Advised and mentored students on navigating academic and professional goals with support and guidance.
• Offered office hours and one-on-one meetings with students to provide additional support and guidance to students.
• Planned and delivered lectures and course materials to communicate course content and provide students with subject matter knowledge.
• Created and maintained course websites and materials to provide students with easy access to course materials and resources.

• IBM maximo Consultant -Developed and Implemented the GIS Network Mapping /Asset Management system for the Lagos State Water Corporation, Nigeria, using ESRI- Arc map, IBM Maximo, AutoCAD and Postgres open source object-relational database system for the Second National Urban Water Sector Reform Project (2NUWSRP) AFD Credit: CNG100701L, World Bank Funded. Project Value -$ 589k
• Project Coordinator - Coordinated and managed the team that carried out the feasibility Study for environmental impact assessment, customer enumeration, GIS System Integration, Billing and Customer Management System for the Liberia Water and Sewer Corporation on the policy for implementation of Water Abstraction taxes in Monrovia, Liberia. Project Value - $ 2.3m
• Project Coordinator - Coordinated and managed a team of over 100 enumerators for Customer Enumeration in 17 Local Government of Lagos State, Nigeria for the Lagos Water Corporation Service areas (Lagos Island, Ikoyi, Surulere, Itire,Yaba/Ebute-Metta, Iwaya, Shomolu, Ilupeju, Ogudu, Oworo, Ikeja I, Ikeja II, Oshodi, Victoria Island, Victoria Island Annex, Lekki andIsheriOke), for the National Urban Water Sector Reform Project III (2NUWSRP) AFD Credit No: CON092, World Bank Funded. Project value $ 565k
• Team Lead / Project Manager - Managed and Coordinated the Development & Implementation of Hydraulic modeling and Capacity building of networks mapping and ground features inventory for Bauchi State Water Board, Nigeria.
• I also supervised the implementation and integration the GIS system using ESRI- Arc map, AutoCAD, and Water CAD for Third National Urban Water Sector Reform Project III (2NUWSRP) AFD Credit No: CNG1027, World Bank Funded Project Value - $ 108k
• Project Manager - I successfully carried out feasibility study for the development, PLC and SCADA implementation using AllenBradley firmware & Ignition 7.2 – 8.0 automation alongside a team from Green-flow Engineering Limited Portugal, for a modular PortReception facility for high flash waste within the Framework of IMO Guidelines (MARPOL 73/78) for the Gambia Maritime Authority,Banjul Gambia. 85k Euro.
• Hired and managed employees to maximize productivity while training staff on best practices and protocols.
• Evaluated product development strategies and prepared alternative approaches to goal achievement.

• Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance
• Responsible for managing the development of "Medic Serve" a web based Platform designed to administer healthcare services closest to urban and rural dwellers seeking medical assistance. We built using Javascript frontend, PostgreSQL for the database and Django.

https://www.liplustechnologyservices.com/products/

• Responsible for managing the development of "Quick Serve" a virtual queuing management system used to reduce physical queues in organizations/businesses with a large customer base.
• Coordinated with other engineers to evaluate and improve software and hardware interfaces.
• Develop Data processing tools and Computer Vision Tools for capturing Data from Scanned pdf files with Python
• Developing Data Prediction Models using different Machine Learning
  Algorithm and Performing Security Vulnerability Assessments on all the Frameworks being used.
• Using Python (Keras) to Build and train Deep Convolutional Neural Networks (CNN) for image classification and training them on large image data sets.
• Building and training Deep Recurrent Neural Networks on large data sets
• Efficient Data pre-processing and Data Augmentation to Reduce the losses and optimize the accuracy of the network. So far i have managed to: -build and train convolutional neural network for self-driving cars. Currently improving it's performance by training it on comma.ai data set..
• Participated in architecture, design, and implementation of back-end features using C++, and Python.