The future of computing is now
Inventing What's Next
Æ Hive Research is helping solve problems at the frontier of science with quantum-centric optimization — from point-in-time actuarial feature serving to NP-hard organ logistics.
Mike S. — Main Author, Research Programmer & Scientist
Author portfolio for Mike Swain — Feat Mesh 1.0, FEATSRV Point-in-Time, Organ Mesh 1.0, StochVRP-Mesh, and open Zenodo archives.
FEATSRV: Point-in-Time Correct Feature Serving for Insurance Without Data Leakage
Leakage-free SCD Type 2 as-of joins with Feast, Redis, PySpark, and FastAPI — plus the Nimbus actuarial benchmark.
Feat Mesh 1.0 — Point-in-Time Feature Serving Console
Data lineage from Parquet sources through PIT store to actuarial models
StochVRP-Mesh: Stochastic Prediction and NP-Hard Routing for Time-Critical Organ Transplant Logistics
Quantile-regression dwell/travel prediction fused with classical VRPTW and QAOA pathfinding under ischaemic cold-chain deadlines.
Organ Mesh 1.0 — Advanced Prediction Console for Organ Logistics
Classical VRPTW ischaemic time windows across organ types
Open access archive — FEATSRV Point-in-Time report on Zenodo
Tools + Code
FEATSRV · Point-in-Time
Leakage-free actuarial feature store — Feast, Redis, PySpark, FastAPI, and Nimbus SCD Type 2 packs.
View project →Feat Mesh 1.0
Live feature console — online Redis lookups, PIT training, leakage audits, and feature importance.
View project →Organ Mesh 1.0
Live prediction console — dwell, travel, and locker diversion with cold-chain risk synthesis from the organos research stack.
View project →StochVRP-Mesh Research
NP-hard organ transplant logistics — quantile models, classical VRPTW, and QAOA pathfinding.
View project →Zenodo Archive
Open-access FEATSRV report doi:10.5281/zenodo.21798383 — Mike Swain · AE Database & Quantum R&D Center.
View project →