Shiv Rao shivtcdfinance

👨‍💻 Shiv Rao

Founder & Product Manager | Systems Thinker · Financial Analytics · MSc Finance, TCD

🧭 Quick Navigation

📊 Stats · 👋 About · 🛠️ Tech Stack · 🚀 Projects · 🎓 Deep-Dive Labs · 🛡️ Security · 🗺️ Roadmap · 🎨 Approach

📊 GitHub Stats

⭐ Repository Stars

👋 About Me

const shiv: SystemsThinker = {
  name:     "Shiv Rao",
  role:     "Founder & Product Manager — SMS Security",
  location: "🌍 Dublin, Ireland  ·  Open to Remote",

  focus: [
    "🔐 Building SMS Security — a full-stack security operations platform",
    "📈 Deterministic financial analytics — no black-box ML, all math",
    "🧮 Monte Carlo & decision engines over observed data",
    "🧰 Compression & codec tooling (φ-lang)",
  ],

  stack: {
    languages: ["Python", "TypeScript", "JavaScript", "Go", "Rust", "C", "HTML/CSS"],
    backend:   ["FastAPI", "Node.js", "SQLite", "PostgreSQL"],
    tooling:   ["Docker", "GitHub Actions", "Linux", "GitHub Pages"],
    finance:   ["MSc Finance (TCD)", "Monte Carlo", "Time-Series", "Portfolio Analytics"],
    security:  ["SMS Ops", "Applied Cryptography", "Shift-Safety Systems"],
  },

  learning:  ["Compression & codec systems", "Irish property analytics (daft.ie)", "Distributed agent pipelines"],
  principle: "Simple · Deterministic · Tested · Always shipping",
};

pip install shivtext  # φ-lang v5 codec — zero dependencies, on PyPI

🛠️ Tech Stack

Languages

Backend & Data

🚀 Featured Projects

🧰 Compression & Codec Tooling

Project	Description	Source
📦 shivtext	φ-lang codec — self-contained, zero-dependency pip package. Published on PyPI.	Repo
🔮 schearch	φ-lang codecs — compact decoders + phrase pipeline, zero-dep pip package.	Repo
🧠 phi-dict	φ-lang dictionary/tooling.	Repo
🗄️ API Tensor Vault	Free usable public API Tensor Vault — 1,850+ AI-compatible data sources, 44 categories.	Repo

📈 Finance & Decision Engines

Project	Description	Source
📊 Pynance	Financial stock performance analysis and investment research toolkit.	Repo
🎰 Roulette Monte Carlo	Monte Carlo roulette simulator — optimal betting decision engine based on observed data.	Repo
🏦 Apify Finance Actors	Backup and deployment scripts for Apify finance actor suite.	Repo
📉 Dashboards	Hermes-built dashboards — portfolio tracker, job pipeline, and more.	Repo

🤖 Pipelines & Agent Systems

Project	Description	Source
🧬 CV Generator v2	Multi-agent CV generator: parallel free drafters → Pro synthesis → AI judge. $0.006–0.011 per CV.	Repo
🧭 Pipeline Architecture	Pipeline architecture visualization — orchestration vs multi-cron.	Repo
🪄 Sola Dashboard	Sola Job Pipeline Dashboard — auto-deployed via GitHub Pages.	Repo
🔌 Public API Directory	AI-Ready Public API Directory — 1,851 curated, trust-rated APIs in compact JSON.	Repo

📄 PDF Tooling

Project	Description	Source
✍️ PDF Signature Stamp	PDF signature stamping app.	Repo
🖼️ Image to PDF	Web tool to convert 250–500 images into a single PDF — works on mobile and desktop.	Repo
🛠️ PDF Page Corrector v2	PDF page corrector — fixes pages across PDFs.	Repo
📝 CV PDF Generator	CV/PDF generation tooling.	Repo

🎓 Deep-Dive Technical Labs

Long-form, systems-thinking reference repositories — structured curriculum with runnable code, not tutorial transcripts.

📈 Deterministic Finance

From raw market data to decision engines — all math, no black boxes.

Financial analytics built on observed data: Monte Carlo simulation, stock performance analysis, investment research tooling, and portfolio dashboards — every result reproducible and auditable.

Covers: Monte Carlo methods · time-series analysis · portfolio analytics · decision engines · data pipelines.

→ Explore the repos

🧰 Compression & Codecs

Compression theory turned into working codecs.

From phrase-first compression to self-contained encoders: compact mnemonic decoders, zero-dep pip packages, and deterministic encoding pipelines — LLM-independent by design.

Covers: phrase compression · mnemonic atoms · codecs · zero-dependency packaging · collision handling · retrieval.

→ Explore the repos

💡 What I'm Building

graph TB
    A[💻 Current Projects] --> B[🧰 Compression & Codecs]
    A --> C[🔐 SMS Security]
    A --> D[📈 Finance Systems]
    A --> E[🤖 Agent Pipelines]

    B --> B1[Codecs & Dictionaries]
    B --> B2[Tensor Retrieval]
    B --> B3[Zero-Dep Packaging]

    C --> C1[Shift-Safety Ops]
    C --> C2[Multi-Node Coordination]
    C --> C3[Deterministic Rule Engines]

    D --> D1[Monte Carlo Engines]
    D --> D2[Portfolio Trackers]
    D --> D3[Property Analytics]

    E --> E1[Parallel Drafters]
    E --> E2[Cost-Optimized Synthesis]
    E --> E3[Verification Loops]

    style A fill:#9333EA,color:#fff
    style B fill:#4ECDC4,color:#fff
    style C fill:#FF6B6B,color:#fff
    style D fill:#FFD93D,color:#000
    style E fill:#1A1B27,color:#fff

🌟 Skills & Interests

🎯 Currently Focused On

- 🔭 Building SMS Security — full-stack security ops
- 🧰 Building compression & codec tooling
- 📈 Deterministic finance engines — Monte Carlo, analytics
- 🏠 Exploring Irish property analytics (daft.ie)
- 🔐 Learning applied cryptography
- 🚀 Shipping zero-dependency pip packages

🎨 Beyond Tech

- 📚 Finance — accounting background, crypto gap analysis
- 🏡 Property — Irish real-estate research
- 📖 Poetry — Iqbal's Bang-e-Dara
- 🧮 Mathematics — the only truth in systems
- φ Language theory — compression as a worldview

🎓 Always Learning

- 📚 Reading technical books
- 🏗️ Building side projects
- 🤝 Contributing to open source
- 📝 Writing technical blogs
- 🎤 Sharing knowledge
- 🌱 Growing every day

*Deterministic math, build-first execution, and shipping working software.*

🛡️ Security & SMS Security

Founder of SMS Security — a full-stack security operations platform. Shift-safety first: deterministic rule engines, multi-node coordination, and audit-trail discipline. Defensive systems, always.

Area	Description	Status
🛡️ SMS Security	Full-stack security ops platform — shift-safety alerts, multi-node coordination, deterministic rule engines.	🟢 Operating
🔐 Applied Cryptography	Encryption/decryption tooling and best-practice implementations.	📖 Learning
🧩 Recon & CTF	Authorized security assessments and wargame study — educational use only.	📖 Learning

🗺️ 2026 Roadmap

graph TB
    A[🎯 2026 Focus Areas] --> B[🧰 Compression & Codecs]
    A --> C[🔐 SMS Security]
    A --> D[📈 Finance & Property]
    A --> E[🤖 Agent Pipelines]

    B --> B1[Release Pipeline]
    B --> B2[Tensor 6 Retrieval]
    B --> B3[Skill Ecosystem]

    C --> C1[Shift-Safety Expansion]
    C --> C2[Multi-Node Scale]
    C --> C3[Production Hardening]

    D --> D1[Daft.ie Analytics]
    D --> D2[Portfolio Trackers]
    D --> D3[Monte Carlo Engines]

    E --> E1[Cost-Optimized Agents]
    E --> E2[Verifier Loops]
    E --> E3[Public API Tooling]

    style A fill:#9333EA,stroke:#7C3AED,color:#fff
    style B fill:#4ECDC4,stroke:#35A29F,color:#fff
    style C fill:#FF6B6B,stroke:#E63946,color:#fff
    style D fill:#FFD93D,stroke:#F4C430,color:#000
    style E fill:#1A1B27,stroke:#000000,color:#fff

🎨 Unique Approach

My finance and accounting background directly shapes how I design systems:

Domain	Applied to
📚 Accounting precision	Every pipeline must balance — deterministic, auditable, reproducible
🧮 Monte Carlo thinking	Decision engines built on observed data, never assumptions
🧰 Compression theory	phrases → mnemonic atoms → deterministic, LLM-independent codecs
🔐 Security ops discipline	Shift-safety, multi-node coordination, permanent audit trails
🏡 Property research	Data-driven Irish real-estate analysis

Shipped so far:

🌟 "Build first. Ship working systems. Let the math speak."

🤝 Let's Build Something Together

⭐️ From shivtcdfinance — Made with 💜 in Markdown

Navigation Menu