Data Infrastructure
Kalshi AWS Ingest
Parallel cloud ingest architecture for candlestick market data using EC2 orchestration.
Data engineering, automation, and infrastructure-minded technical delivery.
I build systems that work under real constraints: cloud ingest pipelines, automation tooling, and reliable operational workflows that teams can use immediately.
High-agency implementation over presentation-only output.
Hands-on assay execution, workflow optimization, and reproducibility-focused lab operations.
I run experiments from design through interpretation across VLP workflows, molecular assays, and BSL-2 research pipelines, while applying technical systems thinking to documentation and process quality.
Built for biotech teams that need execution speed without sacrificing rigor.
Active workstreams across software systems and biological research execution.
Case-study level projects with real implementation constraints and outcomes.
Parallel cloud ingest architecture for candlestick market data using EC2 orchestration.
Config-driven local utility that applies network DNS policies automatically based on Wi-Fi context.
Mammalian-cell VLP workflow tuning with reagent, timing, and purification refinements for better yield behavior.
Flask + SQLite bookkeeping app implementation with practical workflow-first design.
Most recently active non-fork project repositories.