Solidity engineer, python dev & market tactician.

I architect resilient onchain systems, automate trading intelligence, and weave visual narratives for next-gen financial products. Step inside my lab of smart contracts, quant tooling, and market-proven design.

About

Multichain builder balancing precision engineering and market intuition.

Philosophy

I choreograph capital efficiency, delightful UX, and dependable infra. Every product should feel like a trading desk with soul—transparent, elegant, and ruthlessly performant.

Expertise

Smart contract architecture on Base, Monad, and zkSync; DeFi mechanism design; quantitative Python; data storytelling; risk analytics; and launch-ready product strategy.

Focus for 2024

Advancing intent-centric protocols on Base, stress-testing low-latency deployment on Monad, and scaling zkSync-native automation that bridges research, execution, and trading.

Resume

Sharp tools for smart contracts, python pipelines, and trading floors.

Profile

Solidity engineer with a quant lens. I ship production-grade protocols, automate playbooks, and translate noisy markets into decisive code. Base Builders Rewards recipient with deployments live on Monad and zkSync.

  • Base-native architect blending onchain UX and gas-aware design patterns.
  • Pythonic data wrangler building research pipelines, alpha discovery, and execution bots.
  • Intraday trader versed in orderflow, volatility structures, and structured risk.

Core Stack

  • Solidity · Foundry · Hardhat
  • Python · FastAPI · Pandas
  • Rust (Monad tooling)
  • TypeScript · Next.js
  • GraphQL · The Graph
  • PostgreSQL · Redis
  • Jupyter · Plotly
  • Docker · CI/CD

Highlights

  • Earned Base Builders Rewards for intent-driven vault automation.
  • Shipped Monad liquidity routers with deterministic simulation harnesses.
  • Deployed zkSync risk dashboards with live greeks and funding signals.
  • Scaled discretionary day-trading desk to 20% MoM ROI over 18 months.
Experience

Deployments and desks I have piloted.

Principal Smart Contract Engineer · KamiKaiten Studio · Base

2022 — Present

Lead architect on Base-native vault automation, yield routing, and compliance-aware treasury flows. Earned Base Builders Rewards by shipping resilient, intent-centric smart contracts backed by threat modelling and shadow forks.

Quantitative Python Developer · Apex Markets Collective

2019 — 2022

Built systematic trading pipelines, factor research notebooks, and execution services across futures and crypto options. Delivered latency-aware Python microservices with monitoring in Grafana and Plotly.

Algorithmic Day Trader · Independent

2016 — Present

Operate discretionary and systematic books with macro, derivatives, and crypto perps exposure. Combine Python-driven analytics, custom dashboards, and manual execution discipline to preserve risk-adjusted returns.

Projects

Product drops that are live in the wild.

TradeCast V1

Onchain trading companion that streams Base market structure, intent flow, and real-time vault telemetry.

View Repository

Tip at Comment

Farcaster-native tipping primitive that listens to comment webhooks and dispatches automated rewards onchain.

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Base Bounties Hub

Curated Base bounty exchange with milestone tracking, proposer escrow, and builder discovery dashboards.

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QuestQuest

Base-native quest dApp where users clear daily missions, mint achievement NFTs, and auto-flex completed runs to Farcaster.

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PayMesh

Escrow + reputation layer for MCP-style providers that orchestrates quote → fund → start → verify → release flows with optional onchain settlement.

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Tell My Lore

Solana-flavoured storytelling tool that turns a wallet’s public activity into a cinematic character dossier with a matching AI-driven portrait.

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SybilGone

Modular rewards and reputation engine that scores real user behaviour, filters out sybils, and routes programmable, privacy-preserving airdrops onchain.

View Repository

Nullshot Jam Tutorial Platform

Nullshot Jam tutorial hub that turns public Jam sessions into structured dev courses, quizzes, and live web app previews for builders.

View Repository
Contract Visions

Storyboard walkthroughs of how each protocol operates in practice.

The following illustrated frames replace unavailable product videos. Each mock screen is crafted from semantic HTML and CSS to simulate what operators, freelancers, and community members experience while using the deployed contracts.

TradeCast V1 · Base market companion

Operators monitor Base intents in real time while the system pipes confirmed executions straight to Farcaster. The write-up covers how desk analysts skim mempool flow, read vault telemetry, and approve a trade blast the moment the execution overlay shows green.

  • Left panel highlights Base intent mempool entries with notional sizing and routing mode.
  • Center chart overlays vault telemetry and orderfill speed for situational awareness.
  • Status footer mirrors the auto-cast bot pushing proof links to Warpcast communities.

Illustrated frame: A desk operator watches TradeCast flag a profitable ETH perp entry and sees the Farcaster broadcast queue confirm the trade share-out.

Base Bounties V1 · Incentive clearinghouse

Freelance coordinators run the Base-native escrow table, review milestone artifacts, and publish analytics that reveal which bounty briefs are capturing builder attention. The visual narrative mirrors an ops lead clearing a milestone and releasing funds once community votes land.

  • Stacked milestone tracker maps each escrow release to a Base smart wallet.
  • Analytics cards spotlight trending briefs and builder submissions needing feedback.
  • Footer log documents every treasury move for downstream DAO reporting.

Illustrated frame: The Base Bounties desk marks milestone two "awaiting" as reviewers comb through the prototype demo and ready a partial USDC unlock.

Tip at Comment V1 · Farcaster reward bot

Social mods tune the webhook listener, verify parsed casts, and watch automatic Base transfers reward helpful comments. The illustrated console doubles as audit surface area for community oversight.

  • Live cast feed keeps moderators aware of which conversations triggered a bounty tip.
  • Action log reveals the precise sequencing of parse → dispatch → escalation events.
  • Proof module surfaces transaction hashes the DAO can reference for compliance.

Illustrated frame: Tip at Comment pays @craftmint while simultaneously flagging another reward burst for moderator review so the social graph stays trustworthy.

QuestQuest · Mission board for onchain habits

Operators use QuestQuest to turn protocol education into daily missions that actually ship actions onchain. The storyboard walks through how a user chains together Base-native quests, earns XP, and triggers achievement NFT mints that auto-flex to Farcaster once proofs land.

  • Quest board panel surfaces live missions with XP, difficulty, and required onchain proof.
  • Streak tracker and reset timer nudge users to keep their habit loop alive every 24 hours.
  • Party log shows who just cleared what, tying social proof to verifiable onchain activity.

Illustrated frame: A user watches the reset timer tick under one minute, rushes to complete the final quest, and sees their streak roll over to Day 13 with a new achievement mint sliding into the queue.

PayMesh · Escrow and reputation rail for MCP-style work

This vision follows a single engagement flowing through PayMesh, from quote to funded escrow to verified delivery and payout. It shows how both sides stay synchronized on scope, milestones, and release events while the contract handles the critical path.

  • Workflow ladder makes each stage of the payment journey explicit, reducing confusion and DM ping-pong.
  • Escrow and reputation stats give both client and provider a quick read on risk before signing.
  • Signals panel captures comments, reminders, and decision deadlines so no release happens by accident.

Illustrated frame: The provider marks “MVP shipped” as complete, watches the review clock tick down, and sees funds unlock the moment the client hits “approve and release” on-chain.

Tell My Lore · Turning raw addresses into characters

Operators plug a wallet into Tell My Lore and get back a narrative that reads like a character sheet instead of a CSV export. This storyboard walks through how the system clusters onchain behaviour into arcs, computes a lore score, and feeds an AI-driven portrait generator.

  • “Recent arcs” panel groups transactions into story beats like grind seasons, degen weeks, and build sprints.
  • “Wallet pulses” card surfaces anchor facts—first trade, longest conviction, favourite protocol—to humanise the address.
  • Lore score feeds into an AI portrait engine that refreshes the character image as new onchain chapters unfold.

Illustrated frame: A user connects their wallet, watches the arcs populate, and sees their portrait morph from “tourist” to “builder” as the system ingests a fresh deployment on Base.

SybilGone · Keeping incentives pointed at real humans

This vision showcases SybilGone as the console a protocol team opens before pressing “send” on a big reward distribution. It walks through how scores are assigned, clusters are flagged, and final eligibility gets tightened before funds move.

  • Campaign panel clarifies which behaviours are being rewarded so the scoring engine has a clear objective.
  • Live signals chart shows how many wallets fall into organic, clustered, or ambiguous buckets.
  • Strictness and scheduling controls let operators ratchet up sybil resistance before they broadcast the next payment batch.

Illustrated frame: An ecosystem lead toggles strictness to “High,” sees a few dozen borderline wallets drop into “needs more data,” then confirms a clean distribution that routes funds to the most credible addresses.

Jam2Course · Turning live Jams into structured courses

Jam2Course takes chaotic Jam sessions and turns them into a sequenced curriculum that builders can actually finish. This storyboard follows Session 3 of a Foundry track where learners watch a clip, read distilled notes, and immediately test what they learned in a live playground.

  • Lesson stack pairs each Jam clip with a written breakdown and a focused code exercise.
  • Progress board gives instructors a quick pulse on where learners are stalling or surging ahead.
  • Live preview hooks into a web app sandbox so each course feels more like a workshop than a lecture.

Illustrated frame: A learner rewinds a Jam snippet about Foundry tests, fixes a failing assert in the playground, and sees the preview panel flip from red to green as the session marks their quiz as passed.

Playground

Mini games to stress-test your reflexes and onchain intuition.

Gas Oracle Guess

Predict the base fee for the next block. Nail it exactly to secure the payload, or use the hints to get closer.

Latency Tap Test

Prime the sequencer, wait for the glow, then tap as fast as you can to measure blockfill reflexes.

Contact

Let's build something extraordinary.