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Achievement: YOLOAchievement: Pull Sharkx2

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DevDizzle/README.md

Hi, I'm Evan 👋

I’m completing an M.S. in Artificial Intelligence at Florida Atlantic University (expected 2025) and enjoy work at the intersection of machine learning, cloud infrastructure, and product.

LinkedIn · profitscout.app · eraphaelparra@gmail.com

Featured Projects

🟩 ProfitScout — Options Research Hub

Live: profitscout.app
End-to-end platform that surfaces structured Top Call/Put setups and per-ticker analysis for the Russell 1000—so users start from a shortlist instead of a blank screen.
Stack: Vertex AI (embeddings/HPO), BigQuery, Cloud Run, Firebase, Stripe, React.

🩺 MaculaCutis — Dermatology Second-Opinion MVP

Live: MaculaCutis.com
Prototype triage for dermoscopic images with SHAP overlays to support clinician review.
Stack: Vertex AI AutoML Vision, GCS, Dataflow/Beam, Firebase, Node.js.

Tools

Google Cloud Vertex AI BigQuery Cloud Run Cloud Functions Pub/Sub Workflows Docker

Python TensorFlow scikit--learn XGBoost Embeddings RAG HPO

SQL Apache Beam ETL/ELT Experiment Tracking

React Next.js Firebase Stripe REST APIs

Let's Connect

I’m open to new projects and collaborations.

Pinned Loading

  1. profitscout-engine profitscout-engine Public

    An end-to-end, serverless AI platform built on Google Cloud that automatically ingests and analyzes financial data to generate actionable trading signals for the Russell 1000. This repository conta…

    Python 2

  2. 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

  3. 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 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