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Computer Code ProgrammingProfile Senior software engineer (15+ years) who designs, builds, and operates production systems end-to-end as a solo developer. Primary stack: Python, TypeScript, Azure CosmosDB, AWS. Sole engineer behind aleatoric.systems — a full-stack SaaS platform generating deterministic synthetic market data for DeFi and quantitative finance via MCP-native API and REST. Built Kinetic Stress (proprietary framework: Stochastic Resonance, Bayesian Calibration, Monte Carlo pipelines), Astro frontend, CosmosDB persistence, Stripe billing, and production observability. Currently training and evaluating LLMs through RLHF, code preference ranking, and prompt engineering for AI research platforms. Technical Skills Languages Python (expert), TypeScript (advanced), Bash, SQL, R, Solidity AI/ML Training RLHF annotation, code preference ranking, prompt evaluation, red-teaming, LLM output review, debugging AI-generated code Infrastructure AWS (ECS, S3, SQS/SNS, VPC), Azure CosmosDB, Docker, gRPC, WebSocket, REST APIs, MCP protocol servers Data & DevOps Azure CosmosDB, PostgreSQL, KDB, event-driven pipelines, CI/CD, Prometheus, Grafana, S3, structured logging Domains Deterministic simulation, synthetic market data generation, stochastic modeling, DeFi/blockchain, quantitative finance backtesting, real-time venue microstructure Platforms Alignerr, Astro, Node.js, Vue, Stripe, Prometheus, Grafana
Quality analysis and research of repo quality and LLM repair / improvement using anthropic tools
Graduate Coursework, Business Statistics and Applied Regression
Graduate Coursework, Quantitative Finance and Econometrics
AI Training & Evaluation
Senior Backend / Platform Engineer
