Work

Shipped product surfaces and systems-heavy projects across web apps, AI tooling, automation, trading infrastructure, and technical writing.

Flagship work

5 systems
Flagship 01

voltage-kalshi

Live system

A live Kalshi volatility stack built around streaming BTC data, feature engineering, and model-driven execution with real capital on the line.

Real-capital trading loop

Core challenge: Pricing short-horizon volatility under noisy live conditions instead of relying on retrospective backtests alone.

  • Kraken WebSocket ingestion
  • Kalshi order-book signal design
  • LightGBM plus PatchTST execution loop
LightGBMPatchTSTWebSocketsKalshiPython
Flagship 02

whaleflow

Execution infrastructure

A Rust-first execution system for mirroring high-signal wallets on Polymarket with low latency, deterministic handling, and operator-visible control loops.

Sub-second execution path

Core challenge: Translating on-chain observation into mirrored positioning fast enough to matter without making the system operationally opaque.

  • Rust-first execution engine
  • Signal-aware wallet mirroring
  • Latency-aware trade handling
RustOn-chain analyticsExecution systemsTrading infra
Flagship 03

air-runtime

Runtime R&D

An inference runtime for constrained hardware that combines speculative decoding, smart routing, and KV-cache compression to make smaller devices more useful.

Edge deployment focus

Core challenge: Pushing more reasoning capability through limited hardware without pretending compute budgets do not exist.

  • Speculative decoding path
  • KV-cache compression layer
  • Runtime-level routing logic
Edge AIInferenceKV cacheRuntime systemsPython
Flagship 04

orcha

Active orchestration

A multi-agent orchestration layer that distributes work across Codex, Claude, Gemini, and Kimi so parallel model effort becomes a usable execution workflow.

Parallel agent coordination

Core challenge: Making heterogeneous model strengths additive, structured, and operational instead of noisy.

  • Parallel agent dispatch
  • Cross-model synthesis
  • Dependency-aware task routing
AI agentsTypeScriptOrchestrationLLM systems
Flagship 05

council-cli

Decision support

A multi-agent coding roundtable that turns model disagreement into a visible review process for architecture, implementation planning, and technical critique.

Structured review flow

Core challenge: Preserving shared context while letting specialist agents critique the same problem from meaningfully different angles.

  • Shared context handoff
  • Multi-agent review ritual
  • Architecture-oriented critique loop
AI agentsCode reviewDecision systemsCollaboration

AI Tools

1 item

Web Apps

2 items

YPB Ultrasounds

Web product for an ultrasound clinic: booking, content, and a clean patient experience.

Client-facing web appHealthcare service discovery and booking
Next.jsHealthcareProductProduct engineering

Research

1 item

Interactive Research Canvas

Visual notebooks for market maps, technical explainers, and investor-facing research deep-dives.

VisualizationNotesStrategy

Automation

1 item

Amazon Seller Automation

Inventory, pricing, and listing automation pipelines for Amazon FBA with Python and scheduled workers.

PythonE-commerceWorkflow

Code

1 item

Automation Scripts & CLIs

Collection of small Python and shell tools: file pipelines, scrapers, and personal infrastructure.

PythonBashCLI