What I build (deliverables)

Exchange integration

REST + WebSocket, multi‑venue adapters, normalized market data, order & position management.

Backtesting infrastructure

Train/validation/holdout discipline, realistic fees + spread + slippage, repeatable experiment runs.

Execution systems

Order lifecycle tooling, reduce‑only safety, staging + replay verification, failure‑mode hardening.

Microstructure & fill quality tooling

L2 analysis, fill toxicity measurement, adverse selection diagnostics, latency/queue effects.

Real‑time data pipelines

WebSocket ingestion → durable logs, systemd persistence, replay, multi‑asset logging at scale.

How I work

Architecture audit (fixed scope)

3–5 days. Review data, backtests, execution, and ops. Deliver a prioritized roadmap + acceptance criteria.

Build sprint (dedicated)

2–6 weeks. Ship one production subsystem end‑to‑end (integration / pipeline / execution / tooling).

Ongoing retainer

Embedded infrastructure support: ship improvements, keep uptime high, respond to edge cases.

Recent work

Case study: Adverse selection measurement

Problem
A perp market‑making system looked positive in simulation, but real‑world fill quality was unknown.
Built
Real‑time L2 analysis pipeline capturing queue depth, touch‑through rates, and fill toxicity across 229 perpetual markets. Durable logging via systemd with auto‑restart + replay.
Result
Quantified that ~78% of simulated fills would be adversely selected live — preventing deployment into a structurally losing strategy.

Case study: Automated research pipeline

Problem
Manual strategy evaluation was slow and overfit‑prone; no systematic way to test large grids with proper methodology.
Built
Automated pipeline: ingestion, strategy generation, train/validation/holdout splitting, realistic cost modeling, and structured reporting.
Result
Evaluated 600+ variants across 3 asset classes in < 24 hours with reproducible runs and no leakage between splits.

Case study: Real‑time flow monitoring

Problem
Detect and analyze forced liquidation flow in real time across a major perp exchange.
Built
Multi‑service monitoring tracking vault activity across 7 subaccounts and 229 markets, with cascade detection and Telegram alerting. Deployed as persistent systemd units.
Result
Operational within hours; captured high-frequency telemetry with high uptime during the observation window.

Contact