- 🔭 I’m currently working on business software developments!
- 🌱 I’m currently learning improvemnts using AI(LLMs and ML) & blockchain tech.(haskell and Rust)!
- 💬 Ask me about any of these topics if interested
- ⚡ Fun fact: No kinky windows stuff!
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This repo is my public commitment: by December 2025, I will understand and apply both
- Quantitative Finance (stochastic processes, risk, modeling)
- Zero-Knowledge Proofs (zk-SNARKs, zk-STARKs, cryptographic protocols)
so I can fuse them into real blockchain + trading applications.
- Build strong foundations in probability, stochastic calculus, and risk concepts.
- Learn the algebra + finite field math that underpins zk-proofs.
- Implement at least one mini zk-app (proof-of-funds or private voting).
- Publish 2–3 GitHub projects blending quant + crypto.
- 📖 MIT Quant Finance Lectures (playlist) – focus on probability, regression, risk basics
- 📘 Text: Probability for Finance (Sheldon Ross / Shreve notes optional)
- 🧮 Exercises: probability distributions, conditional expectation
- 🛠️ Project: Repo setup →
notes/
,exercises/
,summaries/
folders
- 📖 Topics: Linear Algebra review, Finite Fields, Group Theory
- 📘 Text: A Computational Introduction to Number Theory and Algebra (Victor Shoup)
- 🛠️ Code mini-labs: implement finite field operations in Python
- ✍️ Write blog #1: “Why zk-proofs need algebra (explained for builders)”
- 📖 Study zk-SNARK primer + ZK-STARK overview (Vitalik, Ariel Gabizon, StarkWare papers)
- 📘 Resource: Zero-Knowledge Proofs: An Illustrated Primer (Matthew Green blog + papers)
- 🛠️ Hands-on:
- Build zk-proof toy example using Circom or Halo2
- Explore a private “proof of funds” circuit
- ✍️ Blog #2: “From fields to proofs: building my first zk-circuit”
- 🎯 Goal: Merge quant + zk in one demonstrator project.
- Example ideas:
- Private risk model: prove your portfolio VaR without revealing positions.
- Fair trading bot log: zk-proof that trades followed risk limits.
- 🛠️ Deliverables:
project-final/
repo with full code + README- Final write-up: “Quant + ZK: Lessons from my 2025 roadmap”
- ✍️ Blog #3: Year-in-review on Medium + GitHub
- Languages: Python (finance), Rust/Solidity (zk & blockchain)
- Frameworks: Circom, Halo2, Scroll zkEVM testnet
- References: MIT OCW, Shoup’s book, Shreve’s Stochastic Finance
- Weekly GitHub commits (notes, code, summaries).
- Monthly blog posts (3 total).
- Final zk+quant project shipped in December 2025.