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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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DevDizzle/README.md

Hi, I'm Evan Parra 👋

I build intelligent, end-to-end AI systems on Google Cloud that solve real-world business problems. From data pipelines to full-stack applications, I love shipping products that work.

LinkedIn | profitscout.app | eraphaelparra@gmail.com

About Me

I'm an Applied AI Engineer with a strong bias for shipping products. My journey includes founding and scaling an e-commerce business to over $1M/yr in revenue, which taught me the importance of building solutions that deliver measurable results. I'm currently completing my M.S. in Artificial Intelligence at Florida Atlantic University (expected 2025) and enjoy tackling complex challenges at the intersection of machine learning, cloud infrastructure, and user-centric design.

Featured Projects

Here are a few projects I've built and deployed from the ground up.

🟩 ProfitScout — AI-Powered Stock Analysis

  • Live Demo: profitscout.app
  • An end-to-end platform that provides AI-driven signals and explanations for stocks in the Russell 1000 index, using fundamentals from SEC filings, earnings calls, and technical data.
  • Tech Stack: Vertex AI (HPO & Embeddings), BigQuery, Cloud Run, Kubeflow Pipelines (KFP), Firebase, Stripe, React.

🩺 MaculaCutis — AI Second-Opinion for Dermatology

  • Live Demo: MaculaCutis.com
  • An MVP web app that provides triage for dermoscopic images with explainability overlays (SHAP) to assist clinical judgment.
  • Tech Stack: Vertex AI AutoML Vision, Google Cloud Storage, Dataflow/Beam, Firebase, Node.js.

My Tech Stack

I'm comfortable across the stack, but my sweet spot is in the Google Cloud ecosystem.

  • Cloud & MLOps (GCP): Vertex AI, BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Workflows, Kubeflow Pipelines (KFP), Docker.
  • Machine Learning: Python, XGBoost, TensorFlow, scikit-learn, RAG, Embeddings, Hyperparameter Optimization (HPO).
  • Data & Pipelines: SQL, Feature Engineering, ETL/ELT, Experiment Tracking, Apache Beam.
  • Web Development: React, Next.js, Firebase (Auth/Hosting), Stripe, REST APIs.

Let's Connect

I'm always interested in discussing new projects, collaboration, or opportunities in the AI/ML space. Whether you're a founder with an idea, a recruiter with a role, or a developer who wants to chat, feel free to reach out!

Pinned Loading

  1. profitscout-models profitscout-models Public

    ProfitScout ML Pipeline orchestrates serverless ingestion, feature engineering, and training on Google Cloud to forecast short‑term stock price movements from earnings‑call transcripts. It integrat…

    Python

  2. yolov9-object-detection-guide yolov9-object-detection-guide Public

    Fine-tune YOLOv9 for custom object detection with this step-by-step guide, including dataset preparation, training, validation, and inference tools.

    Jupyter Notebook 1

  3. profitscout-engine profitscout-engine Public

    The ProfitScout Financial Data Pipeline is a fully automated, serverless system on Google Cloud Platform. It collects SEC filings, market data, financial statements, and earnings call transcripts, …

    Python 2

  4. prompt-engineering prompt-engineering Public

    An iterative pipeline for optimizing prompt engineering strategies to generate high-quality structured requirements documents. Uses Dynamic Adaptive Prompt Optimization (DAPO) and an LLM-as-a-Judge…

    Python 3 1

  5. ridge-logistic-regression ridge-logistic-regression Public

    Exploration of Ridge (L2) regularization effects in multiclass logistic regression, analyzing coefficients, cross-validation error, and predictions for optimal tuning.

    Jupyter Notebook

  6. moments moments Public

    Forked from greyli/moments

    A photo sharing social networking app built with Python and Flask.

    Python