Summary
Seyi K. is a highly skilled AI developer, DevOps engineer, and data engineer with an impressive track record across global organizations such as Koloxo Home, Xenara Inc, Software Freedom Conservancy, Stackwisr Limited, and ALX Africa. He is proficient in a wide range of technologies and tools, including Python, C, C++, R programming, Bash, SQL, YAML, Shell, Linux, Linux GPU programming, Git, GitHub, Jenkins, Docker, Kubernetes, GitLab CI, Agile methodologies, GitHub Actions, Jira, Prometheus, Grafana, Datadog, Spark, Kafka, Power BI, PySpark, Pandas, NumPy, Scikit-learn, Jupyter Notebook, Matplotlib, machine learning, Django, Flask, RESTful APIs, microservices, system test, unit testing, Postman, and Pytest. Seyi has engineered scalable back-end services with Kafka and Celery, optimized AWS infrastructure with Terraform and Ansible, automated distributed data pipelines using Spark and PySpark, and modernized software testing frameworks for open-source projects like Git using Clar. He has applied advanced analytics, machine learning, and AI for tasks such as credit risk assessment, fraud detection, and healthcare data analysis. With hands-on experience in building microservices, optimizing data warehouses, boosting system reliability, and instructing students in programming fundamentals, Seyi brings both depth and breadth in software development, DevOps, data engineering, and cloud infrastructure, making him a strong asset for any innovative and technology-driven team.
Meet Seyi K.
Assessment Scores
Great on Find Indices of Two Numbers That Add Up to Target, Difficulty Easy
Great on Design an ETL Pipeline for Healthcare Data Integration, Difficulty Hard
Great on Design a Secure Data Storage System on AWS S3, Difficulty Easy
Experience
Koloxo Home
Enterprise & SaaS
Backend AI Developer
Full-Time
Dec 2025 — Jun 2026
Led development of a production-grade AI SaaS platform spanning 10,000+ lines of backend, frontend, and infrastructure code across distributed services and workflow automation systems.
Designed and implemented 8+ modular backend services using Kafka and Celery for scalable asynchronous processing and event-driven workflows.
Engineered distributed processing pipelines handling concurrent jobs, retries, and cross-service coordination with strong fault-tolerance guarantees.
Improved observability through centralized logging, event tracing, and debugging workflows for faster production issue diagnosis.
Owned end-to-end delivery of core platform features across architecture, implementation, testing, deployment, and production hardening.
Technologies:
Kafka
Celery
Python
FastAPI
SQL
Data Modelling
Xenara Inc
Enterprise & SaaS
DevOps Engineer
Full-Time
Aug 2025 — Dec 2025
Performed cost optimization to cut AWS computer power cost by 30%.
Set up monitoring using Prometheus to maintain site operationality and reliability by 20%
Technologies:
AWS
Prometheus
Docker
Linux
YAML
Shell
Terraform
Software Freedom Conservancy
Deep Tech & Hardware
Software Engineer
Full-Time
Dec 2024 — Mar 2025
Revamped Git’s testing framework by implementing Clar, which reduced manual debugging time by 40% and significantly raised automation across the project.
Developed C-based test cases that cut execution time by 30%, enhancing overall test efficiency and allowing for quicker iterations.
Established test reliability through the implementation of structured assertions and better error handling, which successfully reduced false positives by 25% and increased confidence in test results.
Authored technical articles detailing the test migration steps, guiding 200+ contributors and helping them navigate the complexities of the framework effectively.
Technologies:
Git
Clar
C/C++
Linux
System Testing
Unit Testing
GitHub/GitLab
Stackwisr Limited
EdTech
Software Data Engineer
Full-Time
Oct 2023 — Jan 2025
Developed scalable ETL pipelines, optimizing data transformation and supporting analytics for over 1 million records.
Automated report generation using SQL and Power BI, enabling the team to focus on strategic tasks by reducing manual effort.
Designed and implemented scalable data warehousing solutions that improved query performance by 60%, helping users access information faster and more efficiently.
Resolved database issues swiftly, reducing downtime by 30%, which ensured greater system reliability for all users.
Applied machine learning and AI techniques to detect fraudulent transactions, enhance credit risk assessment, and automate financial data analysis.
Technologies:
SQL
Power BI
Spark
Kafka
Pandas
Power Automate
Snowflake
Azure Data Factory
PySpark
Databricks
Apache Hbase
ALX Africa
EdTech
Software Engineer Intern
Intern
Feb 2022 — Jul 2023
Configured and refined web servers, reducing application load times by 35% and improving deployment efficiency.
Automated key procedure using Bash, C, and Python, reducing manual intervention by 50% and improving system efficiency.
Boosted database performance, improving query execution speed by 40% through schema design, index management, and query optimization.
Technologies:
Bash
Python
MySQL
Django
Git/GitHub
C/C++
Linux
Shell
YAML
Pytest
Projects
I modernized Git’s internal testing framework by writing thousands of lines of C code focused on improving reliability, maintainability, and correctness of core infrastructure. My contributions are documented across multiple commits.
Education
Geography - GIS
2016 - 2021
University of Lagos
Lagos, Nigeria
Data Science - Machine Learning and AI for Precision Medicine
2025 - 2025
Stanford University
San Francisco, California, USA
Software Engineering
2022 - 2023
Holberton School
San Francisco, California, USA
