Hi, I'm Shloak
M.S. AI Student @ SJSU
SA

About

M.S. Artificial Intelligence candidate at San Jose State University (GPA 3.96) with 3+ years as a Senior Software Engineer/Business Analyst building B2B SaaS products end-to-end. Shipped 30+ features across Next.js/React, GraphQL, and Python (Tornado) + PostgreSQL with CI/CD, migrations, and production ownership. Experienced in applied ML/LLM systems (OpenAI API, XGBoost/CatBoost) and data-driven product work (PRDs, analytics, automation) delivering measurable velocity and time savings.

Work Experience

Skills

Python
GitHubJavaScript
TypeScript
React
Next.js
Node.js
GitHubGraphQL
PostgreSQL
Docker
GitHubAWS
Java
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

AI-Based Enterprise Help Desk Proof-of-Concept

Worked with 3 peers to build an IT ticket management platform with LLM-based ticket categorization through the OpenAI API, Auth0 SSO for role-based access, AWS DynamoDB, CodePipeline, and React UI.

React
OpenAI API
Auth0
AWS DynamoDB
AWS CodePipeline

Predictive Modeling of Flight Delays at SFO

Evaluated machine learning models (Logistic Regression, Decision Tree, Random Forest, XGBoost) on 135,000+ SFO departure records, achieved highest F1 with XGBoost for predicting >15 min delays after extensive feature engineering, data leakage prevention, and exploratory analysis.

Python
XGBoost
scikit-learn
Pandas
Machine Learning

San José Animal Care Center - Data Analysis and ML Modeling

Analyzed 122K+ animal shelter records using machine learning (CatBoost, XGBoost) to uncover stray animal hotspots and shelter outcome predictors, enabling data-driven adoption and policy strategies.

Python
CatBoost
XGBoost
Data Analysis
Machine Learning

Brain Marks - iOS App

Participated in an iOS Dev Happy Hour hackathon within a team of 3 to successfully create an app that organizes saved tweets into custom categories. Achieved 80 GitHub stars and remained on the App Store for 1.5 years.

iOS
Swift
React Native

Ukhi - Full Stack Project

Collaborated within a team of 10 to design, architect, and implement an interactive, map-based, full-stack project for an industry client; built in JavaScript using React, LeafletJS, ExpressJS, NodeJS, MongoDB, and Jest.

React
Node.js
Express.js
MongoDB
LeafletJS
Jest
GitHub
LinkedIn