“Very good would recommend.”
Racing Challenge & AI Pricing Platform
OSYSTIC engineered a robust racing challenge platform featuring a Next.js frontend, FastAPI backend, and automated data processing workflows. The solution integrates scheduled updates, result-integrity checks, and Monte Carlo pricing logic.
“Very good would recommend.”
The challenge
A racing challenge platform required coordination of scheduled race-data processing, participant and result management, challenge scoring, and an operational browser interface while maintaining data consistency and calculated pricing across recurring updates.
What OSYSTIC built
OSYSTIC delivered a separated architecture utilizing a Next.js 14 and React frontend paired with a FastAPI backend. The solution incorporates SQLAlchemy persistence, data-ingestion modules, scheduled background processing for result and price refreshes, and Monte Carlo pricing logic.
Engineering Highlights
- Separated browser presentation from backend domain and persistence logic.
- Added recurring jobs for result refresh, price refresh, meeting-state updates, missed-result recovery and integrity verification.
- Retained explicit result-integrity and recovery utilities for incomplete external feeds.
- Implemented Monte Carlo pricing as a defined backend calculation path.
- Preserved operational backup and recovery documentation alongside application source.
Capabilities
- Full-Stack Development
- Data Ingestion & Processing
- Automated Scheduling
- Algorithmic Pricing
- Result Integrity Management
Public Evidence Boundary
This repository contains sanitized public proof only. The confidential delivery/source repository remains private. Implementation source, client identity, credentials, private infrastructure, payment/contract details, private conversations, and protected raw evidence are intentionally excluded.
Outcomes and validation
- Successfully validated maintained frontend build and backend Python baseline via repository CI.
- Delivered structured scheduling, result-integrity controls, and Monte Carlo pricing code.
Related engineering expertise
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