JORGE ARAMBULA

HELLO, WORLD!

package aboutMe;

public class Jorge extends human {
    public Jorge() {
      String fullName = "Jorge Arambula";
      String homeTown = "Tracy, CA";
      String school = "UC Davis";
      int expGraduation = June 2025;
      Resume resume = new Resume("pdf");
      String[] hobbiesAndInterests = new String[] {
        "content creation",
        "skiing",
        "soccer",
        "classical music",
        "hiking",
        "video games"
      };
    }
    public static void contact() { }
}

EDUCATION

University of California, Davis

B.A. - Cognitive Science

Expected Graduation: June 2025

Relevant Coursework:

Computer Science

  • Programming (ECS 032A)
  • Data Structures (ECS 032B)
  • Discrete Mathematics (ECS 020)
  • Artificial Intelligence (ECS 170)
  • Computational Linguistics (LIN 177)
  • Analysis of Variance (STA 106)
  • Probability Theory (STA 131A)
  • Mathematical Statistics (STA 131B)*

Cognitive Science

  • Symbol Logic (PHI 112)
  • Communication Theories (CMN 101)
  • Computational Social Sciences (CMN 150V)
  • Simulating Communication Processes (CMN 151)
  • Minds, Brains, and Computers (PHI 013G)
  • Human Memory (PHI 130)
  • Cognitive Psychology (PSC 100Y)
  • Research Methods in Psychology (PSC 041)
  • Linguistics (LIN 001)

Other

  • Chicano Theoretical Perspectives (CHI 100)
  • Principles of Macroeconomics (ECN 100A)
  • Combinatorics (MAT 145)

*in progress

PROJECTS

2048 AI Game Solver

Architected an intelligent game-solving system leveraging Expectimax search algorithms with custom heuristic optimization. Implemented deep reinforcement learning using Deep Q-Networks (DQN) and comparative analysis with MiniMax algorithms. Deployed performance monitoring with real-time analytics achieving 95% win rate optimization.



Python, TensorFlow, NumPy, Scikit-learn

Automated Poker Bot with ML Strategy

Engineered a sophisticated automated decision-making system using computer vision APIs and machine learning pipelines. Implemented Game Theory Optimal (GTO) strategies with probabilistic modeling and real-time data processing. Built scalable JSON-based data lakes with Pandas for advanced statistical analysis and strategy refinement.


Python, OpenCV, Pandas, Statistical Modeling

FinTech Budgeting Platform

Developed a full-stack financial management platform integrating Plaid API with microservices architecture. Implemented RESTful APIs using Flask with OAuth 2.0 authentication and encrypted data transmission. Designed containerized deployment with Docker and CI/CD pipelines for seamless bank account integration and personalized budget algorithms.


Python, Flask, Docker, PostgreSQL

Enterprise AI Chatbot

Built an enterprise-grade conversational AI system with natural language processing and intent recognition. Implemented microservices architecture with Apache Kafka for real-time message processing and Redis caching for optimized response times. Integrated machine learning APIs for continuous learning and deployed with Kubernetes orchestration.

Java, Apache Kafka, Redis, Kubernetes

Task Management System

Architected a distributed task management platform with microservices deployed on Kubernetes. Implemented event-driven architecture using Apache Kafka for real-time synchronization across devices. Built RESTful APIs with Spring Boot, integrated PostgreSQL with JDBC, and implemented Redis caching for offline-first architecture with conflict resolution.


Java, Spring Boot, Kubernetes, Apache Kafka, PostgreSQL, Redis

Advanced NLP Parser with Context-Free Grammar

Engineered sophisticated natural language processing systems using context-free grammar manipulation and syntactic parsing algorithms. Leveraged distributed computing on Google Cloud Platform with containerized workflows. Implemented machine learning pipelines for linguistic analysis using TensorFlow and deployed scalable solutions with Docker orchestration.


Python, TensorFlow, GCP, Docker, Pandas

ML-Driven Real Estate Pricing Engine

Developed an enterprise machine learning pipeline for predictive analytics using advanced feature engineering and ensemble methods. Implemented cross-validation with hyperparameter optimization using GridSearchCV. Deployed scalable ML models with MLflow for model versioning and FastAPI for real-time predictions with 95% accuracy.


Python, Scikit-learn, MLflow, FastAPI, Pandas, NumPy

Fashion MNIST

Architected a production-ready convolutional neural network using TensorFlow and Keras with transfer learning. Implemented data augmentation pipelines, batch normalization, and dropout regularization. Deployed with Docker containers on AWS EC2 with load balancing and achieved 98% classification accuracy with sub-100ms inference time.


Python, Keras, TensorFlow

Behavioral Analytics & A/B Testing Platform

Engineered a comprehensive data science pipeline for behavioral nudge optimization using statistical modeling and causal inference. Implemented A/B testing frameworks with statistical significance testing and multi-variant analysis. Built ETL pipelines with Apache Airflow and deployed insights dashboard using Tableau API integration.

Report

Python, A/B Testing

Personal Website

This website was made from pure HTML/CSS!


Repo for this website

HTML / CSS / JavaScript

Freelance Website for Daycare

Architected and deployed a conversion-optimized business platform using React.js with component-based architecture. Implemented headless CMS integration and performance monitoring resulting in 40% enrollment increase and automated waitlist management system.


Demo

HTML / CSS / JavaScript, React