Machine Learning C#

ABRAHAM ANAVHEOBA

+234********** **********@*****.*** github.com/ANAVHEOBA

SKILLS

C, Java (Spring Boot/Native, JUnit), Python, Ruby, C#, JavaScript, Git, Rails, GraphQL, SQL, Assembly,Solidity, Rust and Anchor

Operating Systems, Microservices, Backend, AWS, iOS/Android App Development, Agile, Docker, Flask

Technical documentation: Proficient in creating clear, structured technical guides and API documentation, including YAML configurations for Kubernetes, Dockerized applications, testing strategies, and security protocols

WORK EXPERIENCE

Interswitch: Full-Stack Engineering 09/2023 – 07/2024

Developed an advanced fraud detection system using Python's AsyncIO and machine learning libraries that processed over 1 million daily transactions:

Improved transaction processing speed by 40% through implementation of async processing and caching mechanisms. ·

Led a team of 3 junior developers in implementing the solution across multiple payment gateways.

Analyzed the SQL scripts and designed the solution to Developed a custom ETL pipeline by using python

Wrote a comprehensive guide for developing a Dockerized application on kubernetes, detailing each YAML configuration file and deployment step

Wildlife Solutions

: Backend Developer 01/2023 – 04/2023

· Architected and implemented RESTful APIs for payment processing system handling 50,000+ daily transactions using Java and AWS. ·

Developed automated reconciliation system that reduced manual verification time by 65%. ·

Collaborated with integration teams to onboard 5 major Nigerian banks into the payment ecosystem.

Used AWS Elastic Beanstalk service for deploying and scaling web applications and services deployed with python

Documenting the testing strategy for web application, covering unit tests, integration tests, and end-to-end tests with tools like pytest and selenium

Robex

: Software Engineering 06/2022 – 08/2022

· Built merchant analytics dashboard using GraphQL and PostgreSQL, processing data for 1000+ active merchants.

· Implemented automated chargeback resolution system using Ruby on Rails and React, reducing resolution time by 40%.

· Conducted on-site training sessions for merchant support team members across Lagos and Abuja offices.

. Visualized 40 Datasets with Matplotlib

. Wrote a security guide for developers to ensure proper encryption of sensitive data and secure API usage

Green Energy

: Software Development 04/2020 – 05/2022

· Created automated monitoring system for data center operations using .NET and Azure DevOps.

· Developed real-time alert system connecting operations logs to Teams channels for immediate incident response.

· Reduced system downtime by 25% through implementation of predictive maintenance alerts.

. Developed Python scripts for web crawling and web scraping resulting in 30% increased efficiency

EDUCATION

University of Benin September 2017 – October 2023

B.S. Chemical Engineering,

Relevant Coursework: Data Structures and Algorithms, Operating Systems, Machine Organization and Programming, Artificial Intelligence, Mobile App Development, Software Engineering, User Experience/User Interfaces, Object-Oriented Programming/ Dapps

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