ABOUT · OPERATOR + RESEARCHERONE METHOD · TWO HATS · 31-GATE DISCIPLINE

CHRISTIAN.T.MACIONUTC+8REMOTE-OKDAILY-SHIPOWNER-VERIFIED

One method. Two hats.

Build the eval harness first. Build the work that has to pass it second. Ship the third.

Eval-first methodology, two hats: senior Quant Researcher designing reproducible alpha on public data and AI Engineer shipping multi-agent LLM systems behind frozen eval harnesses. 6 paper-traded strategies, 6 production AI projects, 25 public GitHub repos, and a 31-gate stack with a public kill log. Manual-only posture on live capital.

certs
102
11-month arc
gates
31
G1 to G31
agents
11
orch + workers
LOC
76.5k
light-dep

Proof

What I built and shippedn/a not what I am.

3 decision-grade artefacts from the long record. Each one links to a public-data reproduction or a documented engagement summary.

#01AI

11-Agent Eval-First Research Platform

systematic-strategy desk (NDA-protected; closed past contract 03/2026 - 06/2026)
Evidence
  • ~27,500 words of role-scoped agent charters
  • 31-gate statistical evaluation harness (G1-G31)
  • ~76,500 LOC light-dependency Python
Outcome

Caught and documented false positives as enforced methodology (each banked into the desk's research-integrity playbook). Shipped an automated monthly forward-OOS monitoring fleet : scheduled data pull → S3 sync → frozen-spec evaluation → ledger : that produced un-gameable live performance evidence.

Read on /solutions ↗
#02AI

7-Agent Venture Incubation Pipeline

Macion Ventures
Evidence
  • **31 decision-grade artifacts** (charters, briefs, ledger entries) shipped
  • **Anti-self-approval** governance pattern documented as a reusable convention
  • **Jurisdiction-aware prompting** for PH tax/regulatory rules
Outcome

Produced a clean separation-of-duties trail : every proposal had a corresponding validator hand-off, the validator never originated the proposal, and every decision was ledgered for later audit. The same separation-of-duties principle was reused at the systematic-strategy desk for LLM research validation.

Read on /solutions ↗
#03AI

8-Agent Editorial Production Pipeline (SLOP ↓ 96%)

Editorial AI / Content Automation
Evidence
  • **SLOP index dropped from 81 → 3** on the working corpus
  • **Mechanical validator** enforced the gate (exit-0 contract)
  • **Rewrite-before-publish** semantics in the agent charter
Outcome

Production volume held; editorial-review labor fell (the gate did the rejection). The SLOP-scanner is one of the OSS projects in the AI portfolio (separate repo).

Read on /solutions ↗

Full record at /portfolio/solutions/ · engagements at /portfolio/experience/ · methodology at /portfolio/methodology/

Method

31-gate before a number ships.

  • G1 to G12 · single-strategy guardrails
  • G16 to G20 · multiple-testing layer
  • G23 to G31 · LLM-output validation

Full method at /portfolio/methodology/ · live calculator atDSR calculator →

Quant side

9 projects, public-data reproducible.

  • 9 public-data projects shipped
  • 5 asset classes covered
  • 3 strategy families validated end-to-end

Reading log at /portfolio/publications/ · engagements at /portfolio/experience/

Background

A research-desk operator with one method.

I work at the intersection of multi-agent LLM systems andsystematic trading research. The through-line is one engineering principle: don't ship what hasn't passed a measurable quality gate.11 agents in an orchestrator-worker topology. A 31-gate statistical evaluation harness. Pre-registered research windows. Public-data reproducibility. Headline metrics you can verify.

Most recently I shipped the same 31-gate harness against LLM outputs and systematic strategies on a closed past contract (systematic-strategy desk, 03/2026 to 06/2026, NDA-protected). Before that: a 7-agent venture-incubation pipeline under Macion Ventures, an 8-agent content-production pipeline for editorial automation, and a portfolio of runnable AI projects. RAG scorecard, ReAct tool-calling agent, MCP eval server, LLM-as-judge harness, reflection agent, AI-slop evaluation gate.

On the quant side I design and backtest systematic strategies on crypto and equities :9 reproducible public-data projects spanning multiple-testing (Deflated Sharpe), cross-sectional and time-series alpha, volatility carry, cointegration, funding-carry, regime overlays, transaction-cost realism, and look-ahead-bias audits. Every project ships with the senior-research discipline: locked OOS windows, block-bootstrap CIs, methodology declared up-front, not bolted on at the end.

Based in Digos City, Davao del Sur, Philippines (UTC+8) (UTC+8). 30 hrs/wk remote, APAC + US-premarket overlap. 102 professional certifications across AI, finance, math/statistics, and event flagships. built up in 11 months. I write about what I'm learning and ship the things I'm building.

Education

The arc, in one sentence.

Graduate of the Philippine Science High School. Southern Mindanao Campus (2022, national competitive exam). Engineering units at the University of Southeastern Philippines (2022 to 2024, did not complete). Currently enrolled in Financial Management at the University of Mindanao (1st Semester, AY 2026 to 27). Completed the Certified Technical Analyst Program at the Society of Technical Analysts of the Philippines (Tier-1, December 2025).

Disclosure posture

How to read the numbers on this site.

All work shown here is NDA-safe. The systematic-strategy desk role is a closed past contract (03/2026 to 06/2026) under a PM with publicly attributable initials. I do not reference per-strategy t-stats, bps figures, live Sharpe numbers, proprietary data sources, fund-renames, or any desk-internal terms. Headline metrics cite public-data work or open-source runnable projects. If a proof you need is missing, email me the JD and I'll send back a tailored version within 24 hours.

Hiring for an AI Engineer or Quant Researcher seat?

Email me at christianmacion26@gmail.com with the JD. tailored resume within 24 hours. Or grab the matching PDF below.

References the open-source canon. see/portfolio/methodology/ → References & licenses.