Adeyemi Aina

Adeyemi Aina

Hello there! I'm a Software Engineer and former Senior Technology Consultant, I earned a Master's in Computer Science under a National Science Foundation award scholarship. I have endless appetite for turning complex puzzles into elegant solutions. I specialize in robust microservices, scalable APIs, and ontology-powered data systems. My passion for uncovering hidden patterns naturally drew me into the world of machine learning.

Toolbox at a glance:

  • - Languages & Frameworks: Java (Spring), Python (Flask & Django, PyTorch), C++, Ruby on Rails, TypeScript
  • - Cloud & DevOps: Docker, Kubernetes, AWS, GCP

When I'm not wrangling code, you'll find me immersed in sci-fi adventures, usually pondering Artificial Super Intelligence (think Ultron 😄).

Got an exciting project? you'd like to discuss? Let's connect, I look forward to creating something extraordinary together!

LinkedIn Email
Experience
VirtusLab
Jan 2023 - Dec 2024

Software Engineer

Virginia Tech

Developed a domain-specific ontology to improve catalog search, leading to a 100% improvement in retrieval performance

Designed and deployed an API gateway and 30+ RESTful microservices for Virginia Tech's Electronic Theses & Dissertations (ETD) digital library, leveraging Flask, Docker, and Kubernetes in a large-scale distributed architecture

Integrated LTI 1.3 with OAuth 2.0 and JWT authentication into an open-source platform serving 10,000+ users

Developed a code snapshot tool in Java using Abstract Syntax Tree (AST) analysis to identify student coding patterns, enabling targeted interventions that improved project success rates by 50%.

Implemented automated CI/CD pipelines for an ETD system, reducing deployment time by 60% and improving code quality

Semiflat Studio
Apr 2021 - Dec 2022

Experienced Technology Consultant

KPMG

Optimized microservices architecture for a Tier 1 bank, improving the scalability by 200% and system performance by 30%.

Developed report analysis and data mapping tools for a multi-tier banking system (Java, SQL), resulting in a 30% improvement in data accuracy and enabling real-time analytics

Created a machine learning–powered ERP forecasting feature to predict financial outcomes based on asset performance, to enable better strategic planning.

Developed an automated web scraping tool with TypeScript (Puppeteer) for Nigeria's power sector, boosting data collection efficiency by 70% for the Ministry of Power.

Autentika
Feb 2020 - Oct 2020

Software Engineering Intern

Andela

Developed a COVID-19 infection rate estimator in Flask (Python/Pandas), optimizing algorithms for data-intensive processing to achieve 98% prediction accuracy.

Implemented RESTful APIs using Python and Flask in conjunction with Postgres and MongoDB.

Improved data integrity by resolving MySQL database duplication issues, reducing storage utilization by 30%

Education
Virginia Tech

Virginia Tech

MSc. in Computer Science

• Software Engineering, Machine Learning, Educational Technology

• Computer Architecture, Research Methods

Covenant University

Covenant University

BSc. in Computer Science

• Data Structures & Algorithms, Cloud Computing

• Operating Systems, Computer Networks, Database Systems