Proof-of-work archive
AI product builder. Hackathon-proven. Building in public.
I build hackathon-grade AI products, publish the process, and turn experiments into proof-of-work across AI, Web3, Rust, and Reth.
Featured proof
Proof reads like a notebook, not a pitch deck.
Each project stays as a public evidence object: context, stack, current state, and the next note to publish.
GilJob
AI interview and job-prep product built as the final GilJob-E team product.
- Track
- AI product
- Proof
- Current GilJob-E product repository and graduation-project artifact.
STARK Stylus Verifier
Arbitrum APAC Mini Hackathon 1st-place build demonstrating direct STARK verification on Stylus.
- Track
- Arbitrum Stylus / ZK
- Proof
- Arbitrum APAC Mini Hackathon 1st place plus public starkverifier repository and live demo.
StableRail
Stablecoin pool prototype exploring institutional settlement and concentrated liquidity.
- Track
- Rust / Web3
- Proof
- Public repository and StableHacks build trail.
Reth / Rust Learning Trail
Building-in-public trail for deep Rust and Reth study.
- Track
- Rust / Reth
- Proof
- Ongoing lab notes and study records.
Proof timeline
A dated trail, written for quick trust.
The timeline stays factual. Dates, outcomes, and learning state matter more than decorative milestones.
award
Arbitrum Mini Hackathon 1st
A public proof point for hackathon-grade product execution in Web3.
award
National Enterprise Data AI 2nd
Recognition for applied AI/data product thinking and presentation.
lab
Rust, Reth, and AI product notes
A compounding trail of study notes, prototypes, and retrospectives.
Awards preview
Awards stay sparse and verifiable.
- 2026.01 Arbitrum Mini Hackathon 1st
1st place for STARK Stylus Verifier, a direct STARK verification benchmark build on Arbitrum Stylus.
- 2025.12 National Enterprise Data AI 2nd
Award for applied enterprise data and AI product work.
Lab preview
The lab is the proof behind the proof.
Use the Lab as an indexed notebook for technical learning, retrospectives, and thesis shaping. Keep it concise enough to scan, deep enough to trust.
Why I’m building a Proof-of-Work Archive
A public index for projects, awards, notes, and the trail behind the work.
Reth learning trail: start
Tracking Rust/Reth study as durable public proof rather than scattered notes.
Hackathon products I want to build better
What should become stronger after each sprint: product clarity, data, and proof.