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Alfred Fox
Senior AI/ML & Full-Stack Engineer specializing in GenAI, RAG, and MLOps platforms
Glendale, ArizonaSenior AI/ML Engineer15 years experienceSeniorArtificial IntelligenceMachine LearningTransportation & Logistics
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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).
Experience
Senior AI/ML EngineerRTA Fleet
Senior Software Engineer / AI Platform EngineerPlexus Worldwide
Senior Full Stack / AI EngineerNextiva
Lead Software EngineerNextiva
Full Stack DeveloperNextiva
Education
Arizona State Universitymaster, Data Science (2019)
Arizona State Universitybachelor, Computer Science (2010)
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)
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