# CHRISTIAN MACION

**AI Engineer · Multi-Agent LLM Systems · Eval-Harness & Cost-Aware LLM Deployment**

christianmacion26@gmail.com · +63-991-616-2630 · Digos City, Davao del Sur, Philippines (UTC+8) · LinkedIn

> **FIT FOR: AI Engineer · LLM Application Engineer · Eval Engineer · Agent Reliability · Applied AI :  Anthropic · OpenAI · Scale AI · Surge**

## SUMMARY

I build production multi-agent LLM systems that turn multi-day expert work into reliable, cost-aware automation :  and keep them trustworthy with evaluation harnesses, model-routing cost discipline, and honest validation. I designed one reusable architecture from the ground up (no framework) and shipped it across four systems (quant research, venture incubation, content, knowledge base); I authored the curriculum that teaches others to optimize their own.

In the most intensive engagement, I operated an 11-agent orchestrator-worker research platform with contracted hand-offs, separation-of-duties between generation and validation agents, a 31-gate statistical evaluation harness implemented scipy-free in numpy, a tiered model-routing layer (Opus / Sonnet / Haiku / Fable) with per-dispatch token budgeting, structured-output contracts gated by a mechanical validator, persistent agent memory with provenance governance, and ~76,500 LOC of light-dependency Python supporting it :  plus a telemetry dashboard reading LLM session logs and an offline notebook server.

Specialist in the scarce 2026 skills: eval design, agent reliability, and LLM cost modeling. Strong command of multi-agent orchestration (orchestrator-worker / supervisor-worker), tool use / function calling, MCP, Claude Agent SDK / Claude Code, RAG with measured retrieval quality, context engineering, prompt caching, observability, and structured-output validation. Comfortable across Python (numpy, pandas, pyarrow), SQL, AWS S3, Docker, and PDF/PPTX/DOCX generation. I build with large language models; I do not train them.

Before the AI work, a self-directed quant-trading practice (crypto and futures) that gave me the adversarial-validation discipline underpinning every eval gate I write. Available 30 hrs/wk for an AI / agent engineer role.

## Core Skills

- Multi-Agent Orchestration (orchestrator-worker / supervisor-worker)
- LLM Evaluation Harness Design (statistical-gate validation)
- Model Routing & Token-Cost Optimization
- Context Engineering
- Structured-Output Contracts & Validation (must exit 0)
- Tool Use / Function Calling
- Hand-off Contracts & Context Isolation
- Model Context Protocol (MCP)
- Claude Agent SDK / Claude Code
- LLM-as-Judge Pipelines
- Adversarial Verification & Refutation
- Regression / Holdout Discipline
- Persistent Agent Memory & Provenance Governance
- Prompt Caching
- RAG / Chunking / Source-Grounded Generation
- Retrieval Scorecards (recall@K, MRR@K)
- Observability & Telemetry Dashboards
- Python (numpy, pandas, pyarrow, boto3)
- SQL
- AWS S3 Data Lakes
- Docker (working)
- JavaScript
- PDF / PPTX / DOCX Generation
- Headless-Chrome Rendering
- AI-Assisted Research & Paper Summarization
- Statistical & Mathematical Modeling (foundational)
- AI Tools (ChatGPT, Gemini, Claude)
- Research Documentation & Communication

## EDUCATION

- **Financial Management Studies (current)** — University of Mindanao (UM) (1st Semester, AY 2026-27 (enrolled))

- **Engineering Studies (units completed)** — University of Southeastern Philippines (USeP) (2022 - 2024)

- **Philippine Science High School (PSHS)** — Philippine Science High School System :  Southern Mindanao Campus (Graduated 2022)

- **Certified Technical Analyst Program** — Society of Technical Analysts of the Philippines (STA Tier-1) (Dec 2025)

## Technical Tools

- Python (numpy / pandas / pyarrow / boto3)
- JavaScript
- SQL
- AWS S3
- Docker (working)
- Google Colab / Jupyter
- Git & GitHub
- Notion
- ChatGPT / Claude / Gemini APIs
- Claude Agent SDK / MCP
- Headless-Chrome Rendering
- Microsoft Excel / Google Sheets

## RELEVANT EXPERIENCE

### AI Systems Engineer · LLM Research Platform (contract) — systematic-strategy desk (NDA-protected; closed past contract 03/2026 - 06/2026)

*Remote · 03/2026 - 06/2026*

- Architected and operated an 11-agent orchestrator-worker AI research platform (~27,500 words of role-scoped agent charters) with contracted hand-off packets, few-shot routing, separation-of-duties between generation and validation agents, and a scribe-owned single source of truth.
- Designed a 31-gate statistical evaluation harness (block-bootstrap CIs, random-timing nulls, walk-forward, 5-era stability, Deflated Sharpe, CSCV-based PBO, Minimum Backtest Length) implemented scipy-free in numpy :  kills false results before they cost anything.
- Built a tiered model-routing policy (Opus = judgment / Sonnet = assembly / Haiku = mechanical / Fable = hardest autonomous) with per-dispatch token budgeting :  the cost layer that keeps a multi-agent system (measured at ~15× single-agent token cost) economical to run continuously.
- Engineered structured-output contracts gated by a mechanical validator (must exit 0), persistent file-based agent memory (59 typed, cross-linked Markdown records with provenance governance), and ~76,500 LOC of light-dependency Python including a telemetry dashboard reading LLM session logs.
- Caught and documented 3 of my own false positives in a single session :  banking each as enforced methodology :  and authored an institutional operating standard and 16 research studies adopted across the desk.

### Founder & AI Systems Engineer — Macion Ventures

*Remote · 2026 - Present*

- Built a 7-agent venture-incubation pipeline (5 judgment-tier + 2 mechanical) with 10 lifecycle skills; produced 31 decision-grade artifacts and engineered an anti-self-approval governance pattern (the agent that proposes never approves).
- Encoded Philippine tax/regulatory rules (DTI/SEC/BIR/LGU, ₱3M VAT threshold, 8%-flat vs graduated election) directly into agent and skill prompts.

### AI Systems Engineer (Independent) — Editorial / content automation

*Remote · 2026 - Present*

- Built an 8-agent content-production pipeline (topic-scout → researcher → drafter → editor → producer → art-director → chart-maker → exporter) and a 290-line AI-output (slop) evaluator scoring drafts on 13 literature-grounded metrics; drove a real draft from HEAVY (index 81) to CLEAN (index 3).
- Engineered a dependency-free rendering pipeline (HTML/SVG → headless-Chrome PNG; Markdown → publish-ready PDF).

### Trading Platform Testing & AI-Workflow Research Analyst (contract) — AI-engineering consultancy (closed past contract)

*Remote · 04/2026 - 06/2026*

- Conducted structured testing of trading platform onboarding flows to evaluate execution clarity, workflow logic, and system usability from a trader-first perspective.
- Applied AI prompting tools (ChatGPT, Claude, Gemini) to accelerate literature review and pattern recognition while manually verifying accuracy of all outputs.
- Translated execution observations into structured insights to support product and trading workflow optimization.

### Independent AI Systems Engineer — Personal Portfolio & Self-Directed Study

*Remote · 01/2025 - 05/2026*

- Designed and shipped multi-agent LLM systems end-to-end: agent charters, eval harnesses, model-routing policy, structured-output contracts, persistent memory, and Python tooling :  for content automation, venture incubation, and personal-knowledge workflows.
- Built, audited, and open-sourced a portfolio of runnable AI projects (RAG scorecard, ReAct tool-calling agent with OTel traces, LLM-as-judge validated vs humans, MCP eval server, self-critiquing reflection agent, AI-slop evaluation gate).

### Financial Market Educator & AI Integration Specialist (ongoing side) — Independent / Various Universities and Communities

*Remote / Davao Region · 12/2024 - Ongoing*

- Delivered workshops, webinars, and presentations on financial markets, AI applications, and emerging technologies.
- Served as a guest speaker at universities and professional communities on topics involving AI, financial literacy, and blockchain technologies.

## ACADEMIC & PERSONAL PROJECTS

- **[Multi-Agent AI Architecture (Field Guide)](available on request)** — Curriculum authored from first principles (no framework) covering orchestrator-worker topologies, eval-harness design, model-routing policy, structured-output contracts, persistent agent memory, and cost discipline. Adopted as the teaching reference for a research-desk engagement.

- **[RAG Retrieval Scorecard (rag-recall)](available on request)** — Measured RAG with a retrieval scorecard: recall@3 = 0.886, MRR@3 = 0.805. Supports recall@K / MRR@K evaluation across chunking strategies and vector-store choices.

- **[LLM-as-Judge Validated vs Humans](available on request)** — Judge harness validated vs human raters: Cohen's κ = 0.58, 95% bootstrap CI, position-bias measured.

## CERTIFICATIONS

### AI, Data Science & Technology

- Introduction to AI Agents :  DataCamp
- AI Fundamentals :  DataCamp
- Artificial Intelligence Fundamentals :  IBM
- Introduction to AI :  Google
- AI for the Modern Workforce :  Ateneo de Davao University

### Finance, Trading & Economics

- Certified Technical Analyst Program :  Society of Technical Analysts of the Philippines (Tier-1)
- Financial Trading in Python :  DataCamp
- Math for Finance Professionals :  DataCamp
- Excel for Financial Planning and Analysis (FP&A) :  LinkedIn
- Foundations of Growth Equity :  Goldman Sachs
- JPMorgan Chase Investment Banking Job Simulation :  Forage

### Mathematics, Statistics & Programming

- Getting Started with Python for Finance :  LinkedIn
- Python Essentials 1 :  Cisco Networking Academy
- SQL for Finance Professionals :  LinkedIn
- Understanding Data Science :  DataCamp

### Selected Events, Hackathons & Programs

- Galactic Problem Solver :  NASA Space Apps Challenge (Zurich, CH) :  Oct 2025
- BIDA META AICCELERATE 2025 (5-day intensive) :  Meta & Bayan Academy :  Dec 2025
- UP Data Science Society :  Alternative Classroom Learning Experience 2026 :  Feb 2026
- LimitlessBiz: AIM ASEAN Training Programme :  Limitless Lab :  Mar 2026
- Guest Speaker :  USeP CBA Annual Business Expo 2026 :  Feb 2026
- Sui Builders Program Davao :  Sui Foundation :  Apr 2026