AI builder and systems thinker. I work across models, data pipelines, product flows, and infrastructure, turning patterns into working software. Now busy exploring the AI × SecOps intersection, betting the next frontier is AI cybersecurity.
6.2°S / 106.8°E — Jakarta · remote worldwide
6+ years in data field and AI taught me that adaptation isn’t enough. Systems must evolve, and so must the people building them.
console.a1c.io ↗
The first specialized metabolic health AI agent, production grade, reasoning over personal health data with clinical grade knowledge from preventive medicine and biohacking, exposed as REST + MCP.
The consumer wellness app Sally powers. Biomarkers and blood glucose logs, food, supplements, every answer grounded in the user’s own health data.
clawstaff.pro ↗
Forward deployed engineering that brings production AI agent architecture straight to the customer. Open source agents set up on your server, wired into your data, tools, and workflows, live in 48 hours. No SaaS rent after handover.
Lead AI Engineer
console.a1c.io ↗
Built Sally, a production AI metabolic-health agent, end to end as the sole engineer — LangGraph multi-agent orchestration, model serving, REST + MCP APIs, token economics on Base — shipped to public launch on iOS and Android.
Founder · Side project
clawstaff.pro ↗
Forward-deployed engineering for open-source AI agents, run alongside the day job — setups from $95, hypercare through the first week.
Business Solution Architect
Technical strategy for AI across one of the world’s largest copper-and-gold mining operations — component-health prediction for SAG and ball mills, industrial data migration to Snowflake, underground production dashboards.
Data Scientist
Large-scale PII discovery and de-identification engine for GDPR/PDP compliance, fraud-detection graphs on Neo4j, and LLM + GraphRAG Customer 360 platforms for insurance and banking.
Data Scientist Lead
A focused three month project while transitioning from Octopus. Fraud detection at customer and field officer level, product recommenders, and migration of three core banking models to AWS with drift and bias monitoring.
Data Scientist
Customer analytics in production. Churn, CLV and market basket models, route optimization and demand forecasting, real time A/B dashboards, Airflow based MLOps.
Data Analyst
National-scale survey data — precision, integrity, and methodological rigor for official statistical publications.
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0xcynyx — Jakarta, UTC+7. I reply to email.
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