Alfred Fox

About

Backend/data platform engineer who owned end-to-end production services for a fleet analytics/GenAI platform, spanning FastAPI microservices on Kubernetes and AWS (EKS + Lambda) event-driven workloads. Strong in reliability/observability (OpenTelemetry, circuit breakers, idempotency), data pipelines (Glue/Airflow/Snowflake), and measurable performance/cost wins (SQL 10s to <800ms P95; ~30% compute cost reduction).

Key Strengths

• Built and owned production FastAPI service on Kubernetes with Postgres/Redis/Kafka for ML inference and orchestration
• Designed secure auth for APIs (OAuth2/JWT, RBAC, service-to-service short-lived tokens) with validation and audit logging
• Reliability engineering: timeouts, retries/backoff, circuit breakers, idempotent event processing, structured errors, OpenTelemetry observability
• Latency optimization for ML-backed APIs by splitting sync/async paths, caching embeddings, and offloading heavy work to Kafka workers (improved P95)
• Delivered AWS hybrid architecture (EKS + Lambda) with fully automated Terraform/Helm/GitHub Actions CI/CD and runtime secrets management
• Scaling and cost optimization: HPA tuning, right-sizing, node autoscaling, Lambda concurrency controls; reduced compute spend ~30%
• Built AWS Glue ETL from telematics/Kafka/S3 into S3 + Snowflake with schema evolution controls and data quality gates
• Strong incident response for batch/data pipelines using Prometheus/Grafana/CloudWatch/Airflow triage; mitigated SLA misses via hotfix + backfill
• SQL performance tuning with execution plans, query rewrites, composite indexes, partitioning, and Redis caching (10s to <800ms P95)

Experience

Education

Awards

• AutoTech Breakthrough award (recognized for innovative features)

Skills

Languages