Computer Scientist and Associate Software Engineer with hands-on experience building communication platforms, full-stack web systems, and IoT solutions. MSc IT with Data Analytics at UWS · Pursuing CompTIA Security+ and AWS certifications · 12+ credentials spanning cybersecurity, data analytics, and software engineering. Fluent in English and Twi.
As part of a six-person engineering team at Arkesel, contributed to the development and maintenance of a production-grade cloud communications platform serving businesses across Africa. The platform exposes developer-friendly APIs for SMS delivery, Email Marketing, Voice calls, OTP generation, and USSD session management — used by companies to power everything from two-factor authentication flows to bulk marketing campaigns. Built with Laravel and PHP on the back-end with MySQL for data management, plus JavaScript and WordPress for front-end and web experiences. Also contributed to API integration tooling and technical documentation to support the thousands of developers building on the platform.
Designed and deployed a full IoT-based environmental monitoring system for a greenhouse farm in Accra, giving farm managers real-time visibility into five critical parameters — well water depth, ambient temperature, soil moisture, food storage humidity, and nursery light intensity. Sensors were wired to a Node MCU microcontroller and connected through a locally-deployed MQTT broker, enabling low-latency data transmission with zero cloud dependency or external API costs. Captured telemetry was visualised using Python's Seaborn for trend analysis and irrigation decision support.
Architected and built a full management information system for a university's financial department to track, monitor, and report on institutional funds across multiple accounts. The Java GUI was integrated with a normalised MySQL relational database through JDBC, ensuring data integrity and ACID-compliant transactions. The schema was designed for scalability — supporting future modules for payroll, procurement, and audit trails without structural changes. Built to be used confidently by non-technical finance staff.
Conducted deep packet inspection using Wireshark to analyse live and captured network traffic across TCP/IP, DNS, HTTP, and ICMP protocols. Identified anomalous patterns including port scanning signatures, unencrypted credential transmission, and suspicious ARP behaviour — mapping findings to the OWASP Top 10 framework. Combined with Cisco's cybersecurity certifications and Google's Foundations of Cybersecurity, this work underpins active CompTIA Security+ preparation and cloud threat modelling skills being developed toward AWS certification.
Designed and implemented a full relational database system for a car dealership from conceptual ERD through to physical implementation in Microsoft Access. Produced a complete data dictionary, applied 1NF → 2NF → 3NF normalisation, and enforced referential integrity across five interlinked tables. Wrote 10 SQL queries covering stock availability, revenue reporting, customer purchase history, service logs, and staff performance analysis. Built Access forms for all five entities and generated structured business reports.
Analysed World Bank data on GDP per capita and life expectancy across 149 countries from 1960 to 2020. Applied a full data science pipeline: cleaning missing values, removing duplicates, engineering derived features (GDP Growth, LifeExpectancy Change), and performing correlation analysis. Produced histograms, boxplots, and scatter plots in Python using Pandas, Seaborn, and Matplotlib. Built an interactive Plotly dashboard enabling user-driven exploration. Identified a strong positive correlation (r = 0.74 in 1960, 0.70 in 2020) between economic development and population health outcomes.
MSc research dissertation comparing transformer-based NLP models against traditional machine-learning baselines for phishing email detection in cloud communication environments. Follows a positivist, quantitative, experimental research design — training and evaluating models on publicly available labelled email datasets. Key metrics include accuracy, precision, recall, F1-score, and false-negative rate (the security-critical failure mode). Findings are framed around implications for cloud security monitoring systems, with stakeholders including cloud communication platforms (like Arkesel) and enterprise security analysts.
A real-time cloud security monitoring web application that ingests AWS CloudTrail / CloudWatch events, flags anomalous activity using rule-based and ML detection, and presents a live threat dashboard. Will leverage CompTIA Security+ and AWS Cloud Practitioner knowledge alongside the phishing detection research from the MSc dissertation. Stack: Laravel API backend, JavaScript frontend, MySQL, AWS SDK.
Extending the MSc GDP vs Life Expectancy analysis into a fully interactive web application — allowing users to explore World Bank data across any date range, country, or income group. Will feature a Python/Flask backend with Pandas analysis pipelines, a Plotly + JavaScript interactive frontend, and automated chart generation. Demonstrates end-to-end data engineering skills relevant to data analyst roles.
A production-ready, open-source Laravel SaaS boilerplate with security built in from day one — OWASP Top 10 mitigations, role-based access control (RBAC), CSRF protection, rate limiting, AES-256 encrypted data at rest, and an audit log. Combines the full-stack Laravel skills from Arkesel with CompTIA Security+ knowledge. Intended as both a learning artefact and a reusable foundation for secure web applications.