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Chijioke Ekechi

@chijiokeekechi

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Results-driven software engineer specializing in full-stack cloud-native applications.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in software engineering and machine learning to drive impactful solutions.

I am a results-driven Software Engineer with a strong foundation in data structures, algorithms, and systems-level programming. My experience includes delivering full-stack, cloud-native applications and distributed machine learning platforms for fintech and enterprise teams in agile environments. I am proficient in Python, Java, TypeScript, and C++, and I have a passion for delivering performant, fault-tolerant solutions at scale.

Throughout my career, I have led significant projects such as developing an ML-powered ad event pipeline at Amazon, which improved efficiency and system resilience. I have also automated CI/CD pipelines at Cummins, accelerating deployment timelines by 40%. My work at JPMorgan Chase involved building microservices for real-time fraud detection, which reduced latency by 45%. I thrive in collaborative environments and enjoy translating machine learning insights into actionable business value.

Experience

Work history, roles, and key accomplishments

Software Development Engineer

Amazon Inc.

Dec 2023 - Present (1 year 9 months)

Led ML-powered ad event pipeline development with Python, Kotlin, and Typescript for Infrastructure-as-Code, Spark, AWS Services, and Airflow on AWS, improving efficiency and system resilience. Designed and deployed low-latency APIs with CloudFormation-provisioned infrastructure, increasing throughput and reducing errors. Integrated CloudWatch-based observability and performance dashboards, result

Python Kotlin TypeScript Spark AWS Services Airflow CloudFormation Cloudwatch Machine Learning API Development

Training Development Engineer

Cummins Inc

Jun 2023 - Present (2 years 3 months)

Developed backend features for engineering service training software used globally by Cummins' engineering teams. Automated CI/CD pipelines with Terraform and Jenkins, accelerating deployment timelines by 40%. Integrated hardware telemetry into diagnostic services to enable real-time analytics and predictive insights.

Terraform Jenkins CI CD Backend Development Diagnostics Software Development

AI & Data Science Summer Associate

JPMorgan Chase & Co.

Jun 2022 - Present (3 years 3 months)

Built and deployed Kotlin-based microservices for real-time fraud detection models, reducing latency by 45%. Integrated secure APIs with internal credit risk engines, enabling model-driven decisioning across departments. Synthesized model outputs into actionable business metrics and collaborated with product teams to implement solutions.

Kotlin Microservices Fraud Detection API Integration Risk Engines Machine Learning Data Science

Automation Engineer

Prime Atlantic Global Engineering Services

Jul 2017 - Present (8 years 2 months)

Engineered Python and Bash CLI tools and internal APIs to automate workflows, reducing turnaround time by 25%. Led design and end-to-end delivery of automation software, boosting platform uptime and team velocity. Designed networked diagnostic and reporting tools to support real-time field service monitoring.

Python BASH CLI API Development Workflow Automation Automation Tools Diagnostics Monitoring

Education

Degrees, certifications, and relevant coursework

Tennessee Technological University

Master of Science, Electrical and Computer Engineering

2021 - 2023

Activities and societies: Research on ML application in autonomous UAV navigation.

Conducted research on machine learning applications in autonomous UAV navigation. Focused on advanced concepts in electrical and computer engineering.