09/07/2026 updated
100 % available
Senior AI Full Stack Developer | Real-Time Decision Systems | Python / JavaScript
Oak Creek, USA
Only remote
BA Computer Science,University of Ljubljana, IBM Generative AI Engineering Professional CertificatedAutomatic Data Processing EquipmentDecision Support SystemsReal-Time Operating SystemsData Driven TestsDatabase EnginesFeature EngineeringBackend
Python & JavaScript Development
Extensive experience building and improving data-driven production systems using Python and JavaScript, including backend services, decision logic, data-processing pipelines, and operational interfaces.
AI / Data-Driven Decision Systems
Deep expertise in data-driven decision systems, feature engineering, model-assisted scoring, anomaly detection, rule engines, and time-series processing for real-time and near-real-time applications.
API Integration & Streaming
Strong background in REST APIs, JSON, WebSocket-style streaming, external data feeds, retries, rate limits, and schema validation, with a focus on resilience, authentication, and graceful degradation.
Production Engineering & Refactoring
Proven track record in existing-code enhancement, debugging, refactoring, automated testing, logging, monitoring, performance optimization, and version control within mature codebases.
Trading-System Alignment
Solid understanding of market-data workflows, signal generation, historical validation, threshold tuning, risk limits, circuit breakers, and auditability for trading platform environments.
Real-Time Data Processing
Experience building high-throughput data-processing components for timestamped and event-driven data, including rolling calculations, freshness checks, duplicate-event protection, outlier handling, and state-aware evaluation.
Guardrails & Risk Controls
Implementation of guardrails comparable to trading risk controls, including hard limits, validation gates, fail-safe defaults, circuit-breaker behavior, abnormal-input detection, and auditable decision traces.
Monitoring & Observability
Design and implementation of monitoring for data quality, decision outcomes, API health, latency, exceptions, and dependency failures to accelerate production incident diagnosis and reproduction.
Configurable Rule & Decision Engines
Development of configurable decision and rule engines supporting thresholds, weights, eligibility conditions, fallback actions, and safety constraints without requiring broad changes to the surrounding platform.
Extensive experience building and improving data-driven production systems using Python and JavaScript, including backend services, decision logic, data-processing pipelines, and operational interfaces.
AI / Data-Driven Decision Systems
Deep expertise in data-driven decision systems, feature engineering, model-assisted scoring, anomaly detection, rule engines, and time-series processing for real-time and near-real-time applications.
API Integration & Streaming
Strong background in REST APIs, JSON, WebSocket-style streaming, external data feeds, retries, rate limits, and schema validation, with a focus on resilience, authentication, and graceful degradation.
Production Engineering & Refactoring
Proven track record in existing-code enhancement, debugging, refactoring, automated testing, logging, monitoring, performance optimization, and version control within mature codebases.
Trading-System Alignment
Solid understanding of market-data workflows, signal generation, historical validation, threshold tuning, risk limits, circuit breakers, and auditability for trading platform environments.
Real-Time Data Processing
Experience building high-throughput data-processing components for timestamped and event-driven data, including rolling calculations, freshness checks, duplicate-event protection, outlier handling, and state-aware evaluation.
Guardrails & Risk Controls
Implementation of guardrails comparable to trading risk controls, including hard limits, validation gates, fail-safe defaults, circuit-breaker behavior, abnormal-input detection, and auditable decision traces.
Monitoring & Observability
Design and implementation of monitoring for data quality, decision outcomes, API health, latency, exceptions, and dependency failures to accelerate production incident diagnosis and reproduction.
Configurable Rule & Decision Engines
Development of configurable decision and rule engines supporting thresholds, weights, eligibility conditions, fallback actions, and safety constraints without requiring broad changes to the surrounding platform.
Experience
Professional experience10+ years
Freelancer since2014
Languages
EnglishFluent
Project history
Enhanced existing production decision services focusing on safer incremental changes, clearer control flow, and stronger test coverage. Designed Python-based decision logic combining real-time events, historical context, and configurable thresholds. Built high-throughput data-processing components, integrated internal and external APIs, implemented guardrails comparable to trading risk controls, and refactored high-risk modules inside a mature codebase to improve logging and observability.
Developed AI-enabled and data-driven services in Python and JavaScript for real-time decision applications. Created reusable ingestion and transformation pipelines, built API integrations with third-party data providers, implemented configurable decision and rule engines, applied AI/ML techniques for ranking and anomaly detection, and designed monitoring for data quality, decision outcomes, and dependency failures.
Developed backend services and data-processing components in Python and JavaScript for business-critical applications built around external APIs and production integrations. Implemented REST-style API integrations and JSON-based workflows, built modular logic for event-driven and time-series data processing, improved legacy production code, and added structured logging and diagnostic instrumentation.