Simon Ushie Email & Phone Number

Abuja, Federal Capital Territory, NG

• Combining my passion for coding with my love for the financial markets in my free time to create a profitable trading bot using the Meta Quotes programming Language
• Conceptualized and developed a profitable trading strategy primarily using the relative strength index.
• Worked with various indicators by using the built in iCustom function in MQL5.
• Backed tested and improved the trading strategy overtime using different techniques maintaining a low drawdown and a high overall profit
• Implemented WebSocket functionality in MQL to relay important data to a Flask backend for processing as CSVSuccessfully created a continually improving profitable trading strategy with upwards of a 1.5 profit factor.

Abuja, Federal Capital Territory, Nigeria

• Sturf is a platform with a primary goal of improving student life on campus by reducing as many hassles there are to studying as possible notwithstanding the versatility of innovations required.
• Successfully built a RESTFUL API server to get live updates from a microcontroller.
• Implemented various functionalities assisting students with commerce, networking, lodging, and roommate seeking with ease using a complex matching algorithm.
• Integrated easy payment functionality for easy peer to peer transactions amongst students with Paystack.
• Successfully implemented web socket messaging feature helping sellers communicate instantly with potential buyers on the platform instantaneously.
• Integrated Twilio’s phone number verification API to help students with device ownership verification on the platform via SMS.

• Part-time work at a computer school sharing python and AI knowledge garnered over the years with new and junior developers.
• Tutored students on an introduction to python and the basics of machine learning.
• Provided insight into useful methods in modules like Pandas, NumPy, Matplotlib and KNN and application in machine learning techniques.
• Revamped the syllabus, breaking down complex topics into simple digestible topics.
• Collaborated with other staff to adapt to changing requirements.
• Assessed and graded student’s performance and certified them accordingly. The time spent impacting others was rewarding and helped demonstrate the clarity in understanding of my various disciplines.

6 Zambezi Crescent, Maitama, Abuja, FCT, Nigeria, Off Aguiyi Ironsi Street

• Led a team in building an application funded by a TETFUND that tracks the movement of oil tanker vehicles from a preset origin to an expected destination using state of the art telemetry.
• Created a subscription to google maps platform to gain access to the Geolocation API.
• Successfully lead a team to retrieve information from moving oil tankers using an ultrasonic sensor and GPS coordinates using a simcom/ESP module.
• Data retrieved is stored on an adafruit server, calls to the adafruit’s API via an interval background task were implemented to retrieve data from here to be accessed locally.
• Logged the data to the Tron blockchain immediately upon retrieval for security and immutability.
• On the Frontend, jQuery is used to place a tooltip on a map served by google to show the trajectory and current location of a vehicle.

• An enhanced key revocation and renewal protocol based on blockchain for secure communication in WBAN, the protocols are based on the Elliptic Curve Integrated Encryption Scheme (ECIES) cryptographic primitives in python.
• Developed a WBAN secured using the newer ECIES, specifically the SECP-256R1 curve.
• For the proposed framework, programmatically implemented all the different phases elapsed during the network’s life.
• Even with python’s rich community faced issues with finding direct support for this new encryption scheme, many popular modules like python’s cryptography tried to provide support but were rudimentary at best.
• Resorted to successfully improvising my own library to solve this problem.
• Successfully computed for various metrics at the end of the framework’s development, such as energy usage, storage overhead and computation time.

• A dating app for parties trying to find the best possible long-term match to settle down with.Knot was a platform developed to match users permanently with their compatible archetypes based on their Myers Briggs Type.
• Developed a robust RESTful API via FlaskJWT for for seamless integration with a Flutter frontend, well documented via Postman.
• Orchestrated the successful implementation of authentication, CRUD functionalities and WebSocket messaging with FlaskJWT and FlaskSocketIO.
• Integrated phone number verification through the Termii API, enhancing user security and trust.
• Implemented Haversine's formula to determine user proximity within specified mile radii, optimizing location-based matching.
• Leveraged Python's deep face functionality for profile verification, ensuring the authenticity of user profiles.

Lagos, Lagos State, Nigeria

• Blockchain based social networkLed a dynamic team in creating a decentralized social network backed by the lightweight TRON blockchain
• Conceptualized, architected, and implemented a smart contract-controlled decentralized networking platform on the TRON blockchain, positioning it as the go-to social hub for DeFi enthusiasts worldwide.
• Collaborated closely with the marketing team to ideate, brand, and market the platform, ensuring a strong and appealing market presence.
• Responsible for developing and implementing a frontend API for easy interaction with the blockchain smart contract using web3.js, jQuery on the frontend and Flask on the backend.
• Deployed this application on a Heroku server via Git.
• Later scaled the application with a service on the backend powered by a low latency web socket that listens for events on the deployed contract to get faster updates from the smart contract in real time.

800 Bellevue Way NE Unit 500, Bellevue, WA 98004, United States

• Intuitive checkout system for Preoperative PatientsDrove the development of an innovative preoperative patient checkout system, significantly impacting the healthcare industry by ensuring timely access to surgical.
• Engineered a robust web application featuring secure email-based authentication and a comprehensive stock list of surgical items, accessible for individual, retailer, or hospital orders in varying quantities
• The available stock Is provided via excel spreadsheet, extracted data from there with the aid of Pandas and used to update a PostgreSQL database discretely.
• Implemented CRUD functionality with distinct access levels for users and administrators, ensuring seamless interaction with the platform
• Successfully integrated Paystack as the payment gateway, enabling seamless and secure transactions at checkout
• Generated printable receipts upon payment confirmation, archived client records, and provided delivery ETA datesThe project's success significantly contributed to patients receiving timely surgeries, potentially saving.

• VacSin– A prototype of an on-chain storage of vaccination information on Ethereum or Tron blockchain
• Developed several smart contracts for the ministry of health, ministry of foreign affairs and COVID-19 testing centers on the TRON blockchain using web3.
• Ensured faster response time of medical facilities in COVID hot zones by listening for events on the blockchain using an interval thread on the backend.
• Successfully eliminated the issue of false information by logging all data to the TRON network as received.
• Built a Flask backend for the application to live in as usual.
• Built and deployed the application to Heroku upon completion.At the end a Blockchain-Based Solution for COVID-19 Digital Medical Passports and Immunity Certificates became a real-world viable platform.

• A generally conversational chatbot that can also be trained to answer questions in an arbitrary context.Drove the development of Sandra.ai, a cutting-edge conversational chatbot blending advanced AI capabilities with.
• Orchestrated the integration of deep neural networks as the foundation for Sandra's computational abilities, enhancing its conversational depth and understanding.
• Applied advanced natural language processing techniques to interpret user intents from both speech and written text, ensuring a sophisticated and context-aware interaction
• Successfully encapsulated Sandra's robust model within a Flask web application, optimizing accessibility and user engagement.
• Pioneered the implementation of speech input functionality, enabling users to engage directly with Sandra through voice interactions, amplifying the user experience.The project’s success resulted in time saved in.

• Collaborated with professors and associates to engineer a sophisticated Wireless Broadcasting Area Network (WBAN) of sensor nodes using Python and MATLAB, focusing on RPL layer attack simulations. Transformed.
• Developed a Python-based WBAN using networkx, anx, and scipy, incorporating argparse for customizable parameters such as network range and time threshold.
• Simulated various RPL attacks, including Flooding, Sinkhole, Version Number Modification, and Wormhole attacks, showcasing expertise in network security
• Implemented a confusion matrix and matplotlib graphs to visualize compromised nodes post-attack, contributing to comprehensive attack analysis.
• Successfully transformed the project into a unified framework. The successful completion of this project not only demonstrated technical excellence but also gave a better understanding of RPL attack scenarios and how.

• Implemented an innovative tomato classification model deployed on a Raspberry Pi, showcasing a versatile skill set in AI engineering, computer vision, and hardware integration.
• Developed a sophisticated classification algorithm utilizing OpenCV in Python for the Raspberry Pi camera, effectively categorizing tomatoes into ripe and unripe states.
• Successfully integrated the algorithm, trained with diverse tomato images, achieving an impressive 97% accuracy rate.
• Ported the model to operate seamlessly on the Raspberry Pi B+, demonstrating adaptability to complex ARM architecture.
• Leveraged the unique ARM architecture for increased efficiency through threading, enhancing the speed and accuracy of tomato detection.
• Conducted effective testing and training on Google Collaboratory runtimes for optimal performance and speed efficiency.