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jvorndran/README.md

Hi there 👋

Hey 👋 I’m Jacob, a Software Engineer at Dun & Bradstreet and an M.S. in Artificial Intelligence student at Georgia Tech. Here’s some more about me:

  • 💻 I build reliable web platforms, developer tools, and applied-AI systems—with an emphasis on performance, data, and pragmatic product engineering.
  • 🔭 I’m on the Digital Marketing team at Dun & Bradstreet.
  • ☁️ I’m a Google Cloud Certified Associate Cloud Engineer and enjoy the infrastructure behind dependable applications.
  • 📈 I’m deeply interested in macroeconomics, valuation, market structure, and the systems that turn raw information into usable research.
  • 🧪 I have a private DeMark-based market-timing implementation for research and experimentation; happy to discuss the backtesting and engineering approach.
  • 📫 Reach me via LinkedIn or email.



Languages

TypeScript JavaScript Python Java HTML5 CSS3
Front-end & Web

React Next.js Astro Tailwind CSS Three.js
Back-end & Cloud

Node.js FastAPI Google Cloud Cloudflare Terraform
Data & AI

PostgreSQL MySQL Qdrant LangChain TradingView Pine Script
DevOps & Infra

Docker GitHub Actions Git GitHub


github contribution grid snake animation

🧪 Research & interests

Agentic systems, retrieval, and research tools
  • Building and exploring systems that combine retrieval, reasoning, source context, and useful user-facing analysis.
  • Unravel is an open-source sandbox for inspecting document parsing, chunking, embeddings, retrieval, reranking, and generated responses.
Markets, macroeconomics, and data
  • Interested in valuation, market structure, macroeconomic research, and decision-support tools for navigating complex data.
  • Built a TradingView valuation-metrics indicator for comparing P/S, P/E, and related metrics against five-year historical medians.
Private DeMark research implementation
  • Implemented a DeMark-based market-timing strategy for research and experimentation.
  • The implementation is not public because of intellectual-property considerations, but I’m always glad to compare notes on the research, backtesting, and engineering approach.

🎓 Education

Georgia Institute of Technology | M.S. in Artificial Intelligence (Jan 2026 – Present)

Current focus
  • Machine learning, intelligent systems, and the intersection of AI, data, cloud infrastructure, and markets.

University of North Florida | B.S. in Computer Science (Dec 2024)

Foundation
  • Computer science fundamentals with a focus on building practical web, data, and cloud systems.

💼 Experience

Software Engineer – Dun & Bradstreet
  • Part of Dun & Bradstreet’s Digital Marketing team.
  • Help build and support the company’s web-platform capabilities and digital experiences.

🚀 Selected Projects

Project Tech Stack What It Does
🔎 Unravel Python Python · RAG · Qdrant Open-source visual sandbox for experimenting with document parsing, chunking, embeddings, hybrid retrieval, reranking, and generated responses.
🧠 Deep Brief Next.js Next.js · FastAPI FastAPI · Google Cloud GCP Live macro-research agent that produces evidence-backed reports with sources, saved context, and follow-up analysis.
📊 Kalshi CLI JavaScript JavaScript · CLI Agent-first, zero-dependency CLI for read-only access to public Kalshi market data, including discovery, order books, trades, candlesticks, and history.
🏈 FBS CLI TypeScript TypeScript · Node.js Published CLI for structured, read-only CollegeFootballData access across schedules, stats, recruiting, rankings, and historical context.
🌐 Personal Website Astro Astro · Tailwind CSS · Three.js Three.js Personal portfolio site built with Astro, Tailwind CSS, and an optional Three.js visual background.
📈 Valuation Metrics Table TradingView Pine Script · TradingView Open-source indicator for exploring valuation metrics and five-year historical medians directly in TradingView.

Pinned Loading

  1. RAG-Visualizer RAG-Visualizer Public

    A visual sandbox for experimenting with RAG configurations. Interactive tools for document parsing, chunking, embeddings, and retrieval testing, all running locally.

    Python 1