Open to opportunities

Clinton Brown

@clintonbrown1

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Senior full-stack & AI engineer building production RAG systems and scalable distributed services.

United States

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What I'm looking for

I’m looking to build and scale production RAG/LLM systems and low-latency distributed services, partnering in Agile teams that value reliability, observability, and clean architecture from design through deployment.

I’m a highly experienced Full-Stack & AI Engineer with 8+ years designing, building, and scaling production-grade software across frontend, backend, and machine learning. I architect modern distributed systems that combine high-performance TypeScript frontends with scalable Python (FastAPI, Django) and Node.js (NestJS) microservices.

I’ve led end-to-end AI systems including Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, embedding generation services, and LLM orchestration deployed on AWS. In recent roles, I built real-time AI search workflows with Server-Sent Events (SSE), engineered vector search using Amazon OpenSearch (k-NN, HNSW), and implemented event-driven architectures with Kafka/SQS/SNS—backed by strong observability with OpenTelemetry, CloudWatch, Splunk, Prometheus, and Grafana.

Experience

Work history, roles, and key accomplishments

Senior Full-Stack & AI Engineer

SmartMetrics

Sep 2024 - Mar 2026 (1 year 6 months)

Architected and built a large-scale enterprise RAG-based document intelligence platform combining a React/TypeScript frontend with Python/FastAPI and NestJS microservices. Delivered real-time SSE streaming search, OpenSearch (k-NN/HNSW) vector retrieval, event-driven AWS ingestion (S3/SNS/SQS), and full observability with OpenTelemetry, CloudWatch, and Splunk.

RAG React NestJS fastAPI SSE Vector Databases AWS S3 OpenTelemetry

Full-Stack & AI Engineer

Amazon

Apr 2022 - Aug 2024 (2 years 4 months)

Developed a HIPAA-compliant AI healthcare NLP platform to classify and route patient communications, using a React/TypeScript frontend and streaming WebSocket-based inference monitoring. Built a FastAPI RAG backend with OpenSearch HNSW vector search and MMR/prompt optimization, and implemented event-driven AWS pipelines with SQS/SNS/S3, DLQs, idempotency, and OpenTelemetry/Splunk/CloudWatch observ

React fastAPI WebSockets RAG AWS S3 OpenTelemetry

Software Engineer

Twills

Dec 2017 - Mar 2022 (4 years 3 months)

Modernized a high-scale RTB ad-tech platform by transitioning to a modular TypeScript frontend and building real-time dashboards for streaming advertising metrics. Built and operated NestJS microservices and Kafka streaming pipelines processing billions of daily events with resilient patterns (idempotency, retries, DLQs), optimizing performance with PostgreSQL/Redis, and deploying on AWS EKS and G

TypeScript React NestJS Kafka Streams PostgreSQL Redis Microservices CI CD