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Hi, I'm Naya

Backend Engineer specializing in Applied Machine Learning

About

I'm a backend software engineer specializing in applied machine learning. I have experience building scalable backend systems, training and tuning ML models, and working with cloud technologies and devops infrastructure. I'm passionate about using technology to solve real-world problems and create user-focused solutions. As I near the end of my degree, I am open to work and actively looking for a full-time job.

Education

San José State University

B.S. Computer Science

San José State University

Expected GradMay 2027

Coursework

Data Struct & Alg
OOP
ML
OS
Databases
Linear Algebra
Probability & Stats

Organizations

ACM @ SJSU

Workshop Lead

Spartan Disability Alliance

President

Work Experience

Yottasecure

Software Engineer Intern

Yottasecure

Spring2026

I integrated our Rasa chatbot with backend risk analysis workflows and improved NLU intent classifiers, and expanded backend security worflows to support scanning additional targets, including Git repositories and SBOM files. I also resolved AWS S3 and EC2 infrastructure and Docker issues across our backend services and deployment environment, reducing build failures by 40%.

Mundoprints

Software Engineer Intern

Mundoprints

Fall2025

I developed and tuned dynamic pricing regression models using over 100K records, achieving an R² of 0.95. I also owned application authentication and the admin dashboard, leveraging AWS Lambda and API Gateway to build and refine backend logic. Using Cypress, I developed end-to-end tests that validated the full user flow and reduced QA time by 90%. I also collaborated directly with the CTO to discuss feature direction and priorities.

Y Stem and Chess Inc

Software Engineer Intern

Y Stem and Chess Inc

Summer2024

I reduced platform latency by 30% for over 10k users by redesigning React-Express data pipelines and optimizing backend and MongoDB queries. I also enabled real-time chess gameplay with scalable WebSocket systems and under 100ms of latency.

Projects

Caltrain Delay Predictor

Caltrain Delay Predictor

Mar 2026 - Present

I developed a machine learning system to predict Caltrain delays across 31 stations using historical transit and weather data. I deployed it on FastAPI and am currently working to enable real-time delay information.

PythonPyTorchXGBoostFastAPI
Accuguide

Accuguide

Dec 2024 - Present

I built a Next.js platform that helps disabled users discover and review accessibility of public locations, serving 100+ users. I built out the full-stack application, designed the database, and integrated the Google Maps API, LLM APIs, and PostgreSQL full-text search to efficiently get users the data they need. I also maintained this project as open source, attracting over 20 contributors.

Next.jsPostgreSQLReactAWSDockerCI/CD
Restroom Finder

Restroom Finder

Feb 2025 - August 2025

My team and I built an application using Express and React that helps people locate accessible restrooms that are stocked with hygiene supplies. I developed backend endpoints and computer vision features. We built this for SJHacks 2025.

Next.jsReactPyTorchLLMs
Spartan Score

Spartan Score

Feb 2025 - August 2025

I Built a GPA calculator that can quickly calculate GPA based on a screenshot of grades from Canvas. I used React for the interface and Tesseract for OCR features.

Next.jsReactOCR

Skills

PythonPython
JavascriptJavascript
TypeScriptTypeScript
SQLSQL
JavaJava
CC
PyTorchPyTorch
XGBoostXGBoost
scikit-learnscikit-learn
FastAPIFastAPI
ExpressExpress
MySQLMySQL
Node.jsNode.js
Next.jsNext.js
ReactReact
PostgreSQLPostgreSQL
MongoDBMongoDB
DynamoDBDynamoDB
AWSAWS
DockerDocker
CI/CDCI/CD
LinuxLinux
GitGit