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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

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yengner/README.md

Yengner Bermudez banner

CS @ USF · Software Engineer · Building DeepVisor (SaaS in development) — clean backends, typed APIs, reliable infra.

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🚀 About me

  • Building DeepVisor with Next.js 15, TypeScript, Supabase/PostgreSQL, Node.js
  • Infra on OCI Ubuntu using Docker Compose and Cloudflare Tunnel (no public inbound ports)
  • In class: .NET WinForms app to visualize market data

🧰 Tech I use

TypeScript React Next.js Tailwind CSS Node.js Supabase PostgreSQL

Docker Cloudflare Oracle Cloud Ubuntu .NET C#

📌 Featured projects

DeepVisor repo card FloorPlan-Project repo card

Live: DeepVisor → https://www.deepvisor.com

📈 GitHub stats

Yengner's GitHub stats

🔤 Top languages

Top languages used by Yengner

🗺️ What I’m focusing on

  • Multi-platform ad ingestion, idempotent upserts, and scheduled sync pipelines
  • Secure OAuth flows (Meta Graph), typed server actions, and rate-limited REST endpoints
  • Self-hosted automation (n8n), observability, and reproducible Dockerized dev envs

Email me  •  LinkedIn

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  1. DeepVisor DeepVisor Public

    Account intelligence system for ad teams: unified performance views, guardrails, draft-first automation, weekly clarity reports, and real-time alerts across paid media.

    TypeScript 5 2

  2. MarketPulse MarketPulse Public

    MarketPulse is a C# Windows Forms application developed for a Software Systems Development course under Dr. Henrick Jeanty. The project applies OOP principles including encapsulation, abstraction, …

    C# 1

  3. CapitalBlend CapitalBlend Public

    Online banking website that combines crypto and traditional banking and finance. This idea was to initially allow for the transition of Crypto funds to USD and back while also allowing the user to …

    TypeScript 4

  4. CIDB-Scraper CIDB-Scraper Public

    I built a Selenium-based scraper for the CIDB contractor website (Malaysia). The site renders contractor detail pages via a JavaScript “display” link and loads content in an iframe with a UUID quer…

    Python

  5. FloorPlan-Project FloorPlan-Project Public

    Developing a machine learning model to automatically detect and segment various architectural elements within digital floorplan images, enhancing the digital transformation process for architectura…

    Python 2

  6. detectron2_cars detectron2_cars Public

    Experimenting and Using Detectron2 to find cars, planes, and boats on an aerial view to see if the model can pick them up and recognize them despite the surroundings.

    Jupyter Notebook 1