Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
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1 point by zanedev28 62 days ago | parent | context | prev | edit | delete [–] | on: Ask HN: Who wants to be hired? (January 2026)
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
Looking for roles in backend engineering, DevOps/SRE, observability, or AI tooling where I can leverage my experience building developer infrastructure and working with distributed systems.
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
Looking for roles in backend engineering, DevOps/SRE, observability, or AI tooling where I can leverage my experience building developer infrastructure and working with distributed systems.
1 point by zanedev28 41 days ago | parent | context | next | edit | delete [–] | on: Ask HN: Who wants to be hired? (February 2026)
Location: Charleston, SC
Remote: Yes
Willing to relocate: Yes
Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus
Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...
LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/
Email: zanedev28@gmail.com
GitHub: https://github.com/Kcstills17
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
*
1 point by zanedev28 62 days ago | parent | context | prev | edit | delete [–] | on: Ask HN: Who wants to be hired? (January 2026)
Location: Charleston, SC
Remote: Yes
Willing to relocate: Yes
Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus
Resume/CV:https://drive.google.com/file/d/18Oqx3BqpubL6YszI2GAcFFZrNxz...
LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/
Email: zanedev28@gmail.com
GitHub: https://github.com/Kcstills17
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
Looking for roles in backend engineering, DevOps/SRE, observability, or AI tooling where I can leverage my experience building developer infrastructure and working with distributed systems.