Entropa_

aimozart

Phoenix, AZ, USA · Remote only

Backend / Systems Engineer — Rust · Post-Quantum Cryptography · Distributed Systems · AI Agent Infrastructure

✓ AWS Certified Solutions Architect – Associate ✓ Databricks Certified Associate Developer for Apache Spark Google for Startups Cloud Program

Summary

Backend and systems engineer building Entropa, a post-quantum trust layer for AI agents — a live, production Rust network with real ML-DSA (NIST FIPS-204) signatures, verified byte-exact against NIST's own ACVP test vectors, and a beacon-seeded consensus mechanism (Proof of Entropy). Built and shipped solo, end to end: cryptography, consensus, gateway API, CI/CD, observability, incident response — real bugs found and fixed same-day, each one turned into a permanent regression test.

I direct AI coding tools for a large share of implementation, and I'm the one setting architecture, reviewing code closely enough to catch real bugs, and driving debugging when production breaks — Entropa's own incident history is the record of that, not just a claim.

Also a data engineer with 12+ years in enterprise IT and security operations (SIEM, EDR, ITIL) plus hands-on HITRUST/HIPAA compliance work, and lakehouse experience across Apache Spark, Iceberg, and Delta Lake.

Work arrangement

Flagship project

Entropa — post-quantum trust layer for AI agents

May 2024 – Present · github.com/aimozart/entropa-public · entropa.space

  • Post-quantum cryptography: every block signed with ML-DSA-65 (NIST FIPS-204), verified byte-for-byte against NIST's official ACVP test vectors.
  • Consensus: Proof of Entropy — proposer selection seeded by drand's public randomness beacon, no mining, no staking.
  • Production operations: Cloud Run deployment, Firestore persistence, Secret Manager, Cloud Monitoring; real incidents found live, root-caused, fixed same-day, each with a permanent regression test.
  • Open-source & supply-chain security: two crates published to crates.io under Trusted Publishing (OIDC) — no long-lived registry token.
  • AI agent integration: Claude-driven decision pipeline with a fail-closed safety gate between model output and any real-world action.

Technical skills

Backend / Systems: Rust (async, axum), post-quantum cryptography (ML-DSA/FIPS-204), distributed consensus design, hash-linked verifiable data structures, REST API design, CI/CD (GitHub Actions, OIDC Trusted Publishing), Cloud Run, IAM least-privilege, Firestore.
Data Engineering: Apache Spark 3.5 (PySpark & Spark SQL + Scala), advanced SQL, Apache Iceberg, Delta Lake, medallion architecture, SCD Type 2, structured streaming, data-quality gates, performance tuning.
ML / AI: MLflow, XGBoost (GPU), scikit-learn, SHAP, drift monitoring, RAG/embeddings, AI-agent orchestration.
Cloud & Storage: GCP (Cloud Run, Cloud Build, Firestore, Secret Manager, IAM, Dataproc, BigQuery, GCS, CMEK) — primary, production hands-on. AWS (S3, EC2, IAM, KMS) — certified at Associate level.
Platform & Ops: Docker, Prometheus + Grafana, CI/CD, Git, Kafka/Redpanda, Linux, Python, SQL.
Governance & Security: data lineage & catalogs, HIPAA/HITRUST, SOC 2, IAM least-privilege, SIEM/EDR.

Certifications & recognition

Verification links available on request.

Other projects

Open lakehouse platform

github.com/aimozart/MegaMart

Intentionally-dirty multi-source retail data through Bronze → Silver → Gold on Apache Iceberg, then ML (churn/fraud with MLflow + GPU XGBoost) and a Streamlit dashboard layer. Runs locally and on GCP.

Production containerized lakehouse

Apache Spark 3.5 + Delta Lake + object storage + Kafka + automated code-quality gating, real-time event streaming, medallion pipelines. Functional Scala.

Professional experience

Backend / Data Engineer — Independent Projects & Continuous Practice

Remote · December 2022 – Present

Progression from lakehouse data engineering into systems/backend engineering, with AI/ML and AI-agent orchestration integrated throughout. Designed and built two complete lakehouses; directed the design and build of Entropa's Rust consensus engine, cryptographic core, and gateway API; trained and tracked ML models with MLflow; directed and safety-gated a Claude-driven AI-agent decision pipeline in production.

Senior IT Analyst & Security Administrator

Enterprise manufacturing, global fleet · June 2019 – August 2022

Governed enterprise EDR across a global fleet; administered PAM for zero-trust credential security; engineered automated OS imaging and patch-management, neutralizing zero-day exposure.

Desktop & Systems Support Engineer

Enterprise IT services, retail client · April 2018 – June 2019

Led rapid remediation during mission-critical outages, restoring 24/7 retail application uptime; authored SOPs and remediation documentation.

Information Security & Compliance Analyst

Healthcare chart-retrieval, HITRUST-certified org · April 2014 – October 2017

Co-authored the enterprise security-policy framework, drove remediation resulting in official HITRUST certification and continuous HIPAA compliance; managed secure PHI chain of custody.

Level 3 Linux Systems Engineer

Web hosting infrastructure provider · July 2012 – February 2014

Managed technical escalations for 120+ enterprise accounts; server hardening, VPS security, database optimization on Ubuntu/RHEL.

Education

Coursework toward B.S., Information Technology — network security, systems administration, database management, enterprise architecture. 2008 – 2011.