Oscar E. Moreno
Senior software engineer with 8+ years across high-scale backend and distributed systems, data/AI platforms, and performance-critical embedded C.
About
Senior software engineer with 8+ years across high-scale backend and distributed systems, data/AI platforms, and performance-critical embedded C. I own core systems end to end—from API and infrastructure design to production observability—building Kubernetes-based fintech risk services, Rust/C performance components, and ML/RAG pipelines.
I’ve worked across payments, risk assessment, and data engineering, using Python (FastAPI/Django), SQL, Kubernetes/AWS, and rigorous monitoring/error tracking. I also bring strong embedded and hardware experience (C firmware, FreeRTOS, protocol handling, PCB design) to deliver robust systems in production environments.
- 8 years' experience
- Joined July 2026
Skills· 18
Languages
- EnglishFluent
- Spanish; CastilianFluent
- ItalianBeginner
Industry experience
- Financial Services
- Software & Internet
- Computers & Electronics
Work experience· 12 roles
Developed payment-processing modules in C, including an ISO8583 card processor. Implemented transaction protocol handling and low-level memory management. Built and maintained GitLab CI/CD pipelines to automate build, test, and deployment for embedded and backend components.
Owned a core risk-assessment service for a global FX & payments platform. Built the majority of the service core logic in Python (FastAPI, SQLAlchemy, Django) and exposed APIs consumed by trading and risk workflows. Configured Kubernetes workloads to maintain responsiveness under variable load, adapting shared infrastructure patterns into the team codebase. Implemented end-to-end observability using Datadog monitors-as-code, alerting, and tagging, plus Sentry error tracking to improve incident detection and response. Ran production workloads on AWS (EC2, RDS) in a microservices environment.
Architected a Rust-based financial orchestration library with modular adapters for multiple LLM providers (OpenAI, Google AI, Anthropic, Deepseek, local). Engineered a gRPC remote-executor pool with smart batching and output caching, doubling inference throughput. Built RAG workflows to parse, embed, and answer natural-language queries over large SEC filings and financial statements. Exposed the Rust core to Python via PyO3 and maturin, shipping a pip-installable package for end-to-end AI finance pipelines. Integrated GPU-accelerated remote compute clusters with robust retry/error handling and CI/CD for deployment.
Education· 5
Certifications and awards
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