Segni Tulu

Software Engineer @ JPMorganChase

hey there, welcome to my portfolio :-). I am a passionate builder, creative problem solver, and lifelong learner.

3+Years of Experience

4Software Internships

20+Technologies Mastered

8+Projects Built

B.A. Computer Science, Minors in Mathematics & Data Analytics

Concordia College — Graduated Dec 2025

about me

I'm Segni Tulu — a software engineer currently at JPMorganChase & Co. working on the Embedded Payments platform. I graduated from Concordia College with a B.A. in Computer Science and minors in Mathematics and Data Analytics (3.61 GPA).

I love building innovative, user-centric products that solve real-world problems. From full-stack web apps to machine learning pipelines to embedded systems — I enjoy the entire spectrum of software engineering.

When I'm not coding, you'll find me working out, playing soccer, experimenting with 3D modeling, or spending time with friends and family.

Organizations

SWE Fellow @ Headstarter

ColorStack Member

CodePath Student

UMSA Foundation Scholar

CS Society Project Manager

GitHub

Instagram

tech stack

Languages

PythonJavaScriptTypeScriptC#JavaKotlinSQLRubyC++CGoSwiftAssembly

Frameworks & Libraries

ReactNext.jsReact-NativeAngularSpring BootNode.jsExpoRedux-SagaTailwind CSS

Databases & Cloud

PostgreSQLMS SQLMongoDBFirebaseSnowflakeGraphQLAWSAzure

Tools & DevOps

DockerKubernetesGitGitHubGitLab CI/CDSpinnakerGradlePostmanJiraConfluenceFigma

experience

projects

Customer Churn Prediction Model

Feb 2025 - Current

Built a machine learning system using Python, scikit-learn, and TensorFlow to predict customer churn, reducing potential churn by 15% in Q1. Processed 5,000 customer records with R and Pandas and improved model accuracy by 15% through hyperparameter tuning.

ReactPythonscikit-learnTensorFlowRPandasMLGeminiFirebase

Source

Pokedex Web App

Nov 2024 - Feb 2025

Spring Boot API + Next.js full-stack app with Clerk.js auth, PostgreSQL storage, Dockerized backend, and GitLab CI/CD deployment. Reduced data retrieval latency by 40%.

Next.jsReactTypeScriptJavaSpring BootDockerPostgreSQL

Front-End Back-End

GNAC Scheduling Optimization Tool

Sep 2024 - Dec 2024

Transformed soccer match scheduling using linear programming in R with lpSolve. Reduced conflicts by 60% and achieved 95% scheduling accuracy across 100+ games.

RlpSolveLinear ProgrammingOptimization

Source