For hiring managers and technical leaders

Senior AI and data systems engineer.

I combine product ownership with Python, backend, data-platform, and applied AI depth. I am open to exceptional senior or staff-level opportunities.

45%lower Bloomberg ESG query latency
85%faster Snowflake source onboarding
26%better drone wind-speed prediction accuracy
130+GreenRoom users migrated into V2

Experience

Production systems across financial data, model infrastructure, applied ML, and founder-led products.

GreenRoom TechnologiesNov 2025 - present

Founding Engineer

Led the V1 launch and V2 re-architecture of a music-industry networking platform with paid meetings, graph-grounded discovery, and a legacy migration path.

Python, TypeScript, AWS, PostgreSQL, FastAPI, Next.js

QuantMechanixNov 2025 - present

Founding Engineer

Built a resumable market-research pipeline, 13-model ensemble, and blocking nine-point pre-trade gate with automated outcome settlement.

Python, FastAPI, PostgreSQL, Redis, React

Assured GuarantyMay 2024 - Nov 2025

Data Engineer

Reduced source onboarding by 85 percent and distributed a 100M+ parameter calibration workload across Kafka and AWS ECS.

Python, SQL, Snowflake, Kafka, AWS

Bloomberg LPJul 2021 - Feb 2024

Software Engineer, Data Technologies

Migrated ESG data for 6,500+ companies and reduced query latency by 45 percent for quantitative research workflows.

Python, SQL, Kafka, AWS

Intelligent Automation, Inc.Jun 2020 - Jul 2021

Software Engineer, Data Science

Improved wind-speed prediction accuracy by 26 percent for autonomous drone flight systems and built social-bot detection workflows.

Python, Keras, Docker, GitLab CI/CD

IIOT-OXYS Inc.Dec 2019 - Jun 2020

Machine Learning Engineer

Built time-series ETL and anomaly detection over more than one million PostgreSQL and AWS traffic-sensor records.

Python, SQL, PostgreSQL, AWS

Technical range

Core engineering

Python, SQL, TypeScript, Java, FastAPI, REST contracts, distributed workflows, testing, CI/CD.

Data and cloud

PostgreSQL, Snowflake, Kafka, Redis, MongoDB, AWS Lambda, ECS, S3, DynamoDB, Docker.

Applied AI and ML

LLM tool use, retrieval, evaluation, PyTorch, TensorFlow, scikit-learn, agentic development workflows.

Best-fit roles

Senior or staff applied AI engineer, backend/platform engineer, data systems engineer, or founding engineer with real production ownership.