ASU '26 · B.S. Computer Science

I build it.
And I sell it.

A computer scientist who thrives at the intersection of business and technology, translating complex stakeholder needs into software that ships and sells.

90%
less manual entry via agentic AI
25K+
customers reached at scale
400+
active users on platforms I've shipped
Aleah Hassabo
Software Engineer

01 — About

The best software isn't just clean code, it's measurable value.

Hello! My name is Aleah Hassabo. I'm a Computer Science graduate from Arizona State University with a passion for building technical solutions that solve real business problems.

My time as a Sales Engineering Intern at Tungsten Automation taught me that great technical solutions start with empathy; understanding a client's problem so thoroughly that the right solution becomes clear. I love taking complex stakeholder requirements and transforming them into scalable architectures, functional roadmaps, and ultimately, compelling stories that show people why technology matters.

Whether I'm deploying agentic AI that cuts manual data entry by 90%, teaching computational theory to over 300 students, or architecting a real-time booking platform, my goal is always the same: to bridge the gap between business needs and technical excellence.

I thrive in the space where development meets strategy, and I'm actively looking for a Solutions Engineering role where I can both build the technology and inspire people to believe in it.

02 — Experience

Where I've shipped value

showing software highlights

Lead UI Designer & Front-End Developer

Sport SittersTempe, AZ
August 2025 – May 2026
  • Architected and implemented a real-time booking platform in 4 months using React Native and JavaScript, directly enabling market expansion across Arizona and California.
  • Authored 40+ automated test cases for Firebase cloud functions using Jest, ensuring reliability and correctness across core booking workflows.
  • Translated stakeholder requirements into high-fidelity workflows and technical specifications, driving the product from concept to functional delivery.
  • Delivered a production prototype supporting 400+ active users and real-time booking workflows, validating end-to-end system behavior and scalability under load.

Sales Engineering Intern

Tungsten AutomationChicago, IL
May 2025 – August 2025
  • Built a custom product connector using C#, .NET, and Visual Studio; approved and published on the Tungsten Marketplace to accelerate pre-sales adoption.
  • Implemented and deployed agentic AI automation within TotalAgility, reducing manual data entry by 90% across 800+ partners and 25,000+ customers.
  • Designed and delivered a technical demo for the marketplace connector, enabling Sales Engineers and prospects to evaluate integration workflows in live demo environments.

Teaching Assistant — Theoretical Computer Science

Arizona State UniversityTempe, AZ
August 2025 – May 2026
  • Delivered weekly technical recitations on Turing machines, automata, and computability to 300+ students.
  • Managed end-to-end assessment pipelines using Gradescope, Canvas, and Peerceptiv, improving grading consistency and turnaround time.
  • Resolved complex proof-based questions for 300+ students through structured consulting via email and Slack.

03 — Projects

Things I built to learn

ENTERPRISE INTEGRATION01

Tungsten Marketplace Connector

Built and published a custom product connector on the Tungsten Marketplace, enabling enterprise clients to integrate third-party workflows directly into TotalAgility — paired with an agentic AI automation layer that cut manual data entry by 90% across 800+ partners.

C#.NETVisual StudioTotalAgility
FULL-STACK02

Sport Sitters Platform

Real-time booking platform built in 4 months, supporting 400+ active users and backed by 40+ automated Firebase tests.

React NativeFirebaseJest
MACHINE LEARNING03

Adversarial Debiasing

Mitigated gender bias in income classification on the UCI Adult dataset — trained biased vs. debiased models with IBM AIF360 and cut bias measurably while holding accuracy.

PythonTensorFlowAIF360
DEEP LEARNING04

Bitcoin Price Prediction

Built an LSTM RNN predicting BTC closing prices from historical OHLC data — reaching R² of 0.9978 on a held-out test set with inverse-transform evaluation.

PythonPyTorchscikit-learn

A note to whoever's reading — including future me

You learned theory hard enough to teach it. You can do this.

04 — Toolkit

The stack I reach for

Languages

JavaPythonJavaScriptTypeScriptC / C++ / C#SwiftSQL (PostgreSQL)

Frameworks & Platforms

React NativeNode.jsFlask.NETTailwind CSSPyTorchTensorFlowscikit-learnPandas

Cloud & DevOps

Microsoft AzureGoogle Cloud PlatformDockerGitHub Actions

Tools & Methodologies

FirebasePostmanGitJestJiraAgile / ScrumSDLCCI/CD

05 — Contact

Let's build something.

Whether you're looking for someone to build your product, demo your platform, or bridge the gap between code and customers, I'd love to connect.