Raul Victorino Mora
Raul Victorino Mora
About
Detail
Full Stack Software Engineer with AI experience
Colombia
Eight years of production engineering across three markets: clinical software in Colombia, payments infrastructure at LATAM scale, and an AI platform at a US startup. The last three years have been generative AI in production - retrieval systems that cite their sources, agent services that call real tools without falling over, and the evaluation harnesses that prove either one works. Now builds reinforcement-learning environments and coding benchmarks used to train and measure frontier models. Writes production Python, TypeScript, Java and Go; equally comfortable tuning a Postgres query plan, shipping a Next.js interface, and owning the Terraform underneath both.
Generative AI: RAG (hybrid BM25 + dense retrieval, cross-encoder reranking, semantic chunking), agent orchestration (LangGraph, LangChain, function/tool calling, MCP), structured output & JSON-schema constraints, prompt engineering, LoRA/QLoRA fine-tuning, embeddings (OpenAI, Cohere, BGE), vLLM & streaming inference, LLM-as-judge evaluation, guardrails & prompt-injection defense, semantic caching
Languages: Python | JavaScript | TypeScript | Java | Go | SQL | Bash
Backend: Python (FastAPI, asyncio, Celery, Pydantic), Node.js/TypeScript (NestJS, Express, tRPC), Java (Spring Boot, JPA/Hibernate, JUnit, Maven/Gradle), Go (Gin, goroutines & channels, context-based cancellation), REST, GraphQL, gRPC, WebSockets/SSE, event-driven
design with Kafka & SQS, domain-driven service decomposition
Frontend: React 18, Next.js (App Router, RSC, streaming UI), TypeScript, Tailwind CSS, Zustand/React Query, Vite, Playwright & Vitest,
i18n/l10n, accessible component design
Data: PostgreSQL (pgvector, partitioning, query tuning), Redis, MongoDB, Pinecone/Qdrant/Weaviate, DynamoDB, Snowflake, dbt, Airflow
Cloud & DevOps: AWS (Bedrock, Lambda, ECS/EKS, S3, RDS, SQS, Step Functions, CloudFront, IAM), GCP (Vertex AI, Cloud Run, BigQuery), Azure OpenAI, Terraform, Docker, Kubernetes, GitHub Actions, ArgoCD, OpenTelemetry, Datadog, LangSmith
Practices: System design & technical leadership, TDD, trunk-based development, code review, cost/latency profiling, SOC 2 & HIPAA- aware data handling, async remote collaboration, mentoring
Generative AI: RAG (hybrid BM25 + dense retrieval, cross-encoder reranking, semantic chunking), agent orchestration (LangGraph, LangChain, function/tool calling, MCP), structured output & JSON-schema constraints, prompt engineering, LoRA/QLoRA fine-tuning, embeddings (OpenAI, Cohere, BGE), vLLM & streaming inference, LLM-as-judge evaluation, guardrails & prompt-injection defense, semantic caching
Languages: Python | JavaScript | TypeScript | Java | Go | SQL | Bash
Backend: Python (FastAPI, asyncio, Celery, Pydantic), Node.js/TypeScript (NestJS, Express, tRPC), Java (Spring Boot, JPA/Hibernate, JUnit, Maven/Gradle), Go (Gin, goroutines & channels, context-based cancellation), REST, GraphQL, gRPC, WebSockets/SSE, event-driven
design with Kafka & SQS, domain-driven service decomposition
Frontend: React 18, Next.js (App Router, RSC, streaming UI), TypeScript, Tailwind CSS, Zustand/React Query, Vite, Playwright & Vitest,
i18n/l10n, accessible component design
Data: PostgreSQL (pgvector, partitioning, query tuning), Redis, MongoDB, Pinecone/Qdrant/Weaviate, DynamoDB, Snowflake, dbt, Airflow
Cloud & DevOps: AWS (Bedrock, Lambda, ECS/EKS, S3, RDS, SQS, Step Functions, CloudFront, IAM), GCP (Vertex AI, Cloud Run, BigQuery), Azure OpenAI, Terraform, Docker, Kubernetes, GitHub Actions, ArgoCD, OpenTelemetry, Datadog, LangSmith
Practices: System design & technical leadership, TDD, trunk-based development, code review, cost/latency profiling, SOC 2 & HIPAA- aware data handling, async remote collaboration, mentoring
Contact Raul regarding:
work
Full-time jobs
Flexible work