About
Highly analytical Software Engineer and Honours Computer Science student specializing in architecting scalable cloud systems and productionizing machine learning models. Leverages proven expertise in developing enterprise-grade backend APIs and deploying secure AWS infrastructure, delivering high-performance, data-driven solutions within fintech environments. Adept at bridging theoretical AI/ML concepts with practical software engineering to build robust, secure, and resilient systems.
Skills
Programming Languages
Python, Boto3, Pandas, C++, C, Java, JavaScript (ES6+), C#, SQL.
Applied Machine Learning
Logic-based Reasoning, LSTM, K-Means, Regression Modeling, LLM APIs, RAG.
Cloud & DevOps
AWS (EC2, S3, Lambda, VPC, IAM, CloudWatch), API Gateway, Docker, Linux, CI/CD.
Backend & UI Frameworks
Django, React, RESTful APIs, Qt Creator, PostgreSQL, MongoDB, DynamoDB.
Quantitative Tools
MATLAB, Jupyter Notebook, Git/GitHub, Mathematical Modeling, Symbolic Logic.
Work
Praesignis (AWS re/Start)
|Cloud Infrastructure Trainee
Midrand, Gauteng, South Africa
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Summary
Architected and deployed resilient enterprise cloud solutions on AWS, focusing on security, performance, and automated monitoring.
Highlights
Architected and deployed enterprise cloud solutions (EC2, S3, VPC) aligned with AWS Well-Architected Framework, enhancing system resilience.
Developed event-driven serverless workflows with AWS Lambda and API Gateway, significantly reducing operational latency for downstream data requests.
Implemented comprehensive security protocols, including encryption and granular IAM roles, achieving 100% adherence to data security standards.
Automated infrastructure monitoring using CloudWatch and SNS, decreasing initial response time to system warnings for proactive issue resolution.
go DGTL (BEEM Platform)
|Software Engineering Intern
Johannesburg, Gauteng, South Africa
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Summary
Led backend API development and AWS migration efforts for an enterprise BEE audit platform, ensuring high availability and data integrity in a fintech environment.
Highlights
Engineered 15+ RESTful backend APIs for an enterprise BEE audit transformation platform, facilitating secure data exchange and ensuring 99.9% system availability.
Accelerated production-grade AWS migration by 20% through automated Boto3 script development for environment provisioning and data synchronization.
Resolved 50+ critical logic defects in the audit engine, achieving zero data loss during high-volume migration of sensitive financial data.
Maintained high code quality and fostered collaborative development within a high-velocity Agile environment through rigorous peer code reviews and sprint retrospectives.
Projects
Education
University of South Africa (UNISA)
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BSc Honours
Computer Science (Specializing in Logic & AI)
Courses
Logic-Based Reasoning (COS4851)
Machine Learning (COS4852)
Formal Logic (COS4807)
NLP (COS4861)
University of South Africa (UNISA)
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BSc (Double Major)
Applied Mathematics & Computer Science
Grade: 72%
Certificates
AWS re/Start Graduate
Issued By
AWS
AWS Cloud Quest
Issued By
AWS
Praesignis Generative AI Practitioner
Issued By
Praesignis
HackerRank Software Engineering
Issued By
HackerRank
AWS Certified Cloud Practitioner
Issued By
AWS
Awards
Postgraduate Offers 2026
Awarded By
Wits, Stellenbosch, UJ, and UNISA
Recognized for academic excellence with admission offers for postgraduate studies from top South African universities.