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Schedule Interview NowMy name is Hyacinth A. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Python, Machine Learning, CI/CD, Artificial Intelligence, etc.. I hold a degree in Master of Philosophy (MPhil), Bachelor of Science (BS). Some of the notable projects I've worked on include: KidFriendlySocial: Making social media safe and fun for kids!, Bert based health and Fitness App Sentiment System, Lead conversion prediction for a Mobile App Company, Publication of deep learning research paper in a high impact journal, Time series Forecasting of weekly prices of the Parallel Alpha NFT, etc.. I am based in Kumasi, Ghana. I've successfully completed 8 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
5 years
3 Years
3 Years
3 Years
Potentially possible
AkwaCash
KidFriendlySocial is a machine learning-driven application designed to create a safer online environment for children. The project's primary goal is to analyze tweets when they are composed, filter ou
Predicting the sentiment of reviews of fitness apps in the google play store, and deploying and monitoring using AWS Methods Used Data exploration/descriptive statistics Data processing/cleaning AP
Predicting if a lead would convert in a mobile app company, deployed using fast API with streamlit as frontend via CI/CD using GitHub Actions, and containerized using Docker. Methods Used Data explo
The goal of the project was to come up with a method to predict the deaths and ICU admission likelihood of COVID 19 patients, using an explainable deep learning model to achieve high accuracy and dete
Forecasting the weekly price of Parallel Alpha, using tweets and the financial data of the parallel alpha nft, using 3-time series models to forecast the next week's price of nft, primarily to know if
Master of Philosophy (MPhil) in Electrical/Computer engineering
2018-01-01-2022-01-01
Bachelor of Science (BS) in Electrical/Computer engineering
2012-01-01-2016-01-01