Edward Kim
I’m Edward Kim, a Python engineer who builds the reliable systems and evaluation harnesses that make AI features trustworthy in real products.
About
I’m Edward Kim, a Python engineer who builds the reliable systems and evaluation harnesses that make AI features trustworthy in real products. I focus on observability for model calls end-to-end—capturing inputs, outputs, decision paths, token counts, costs, and outcomes—then using the same trace records for debugging, monitoring, and spend control.
I also ship production integrations and developer tooling: LLM services with REST/SSE/WebSocket endpoints, tool and function calling, and safety guardrails like rate limits, prompt-injection defenses, and approval gates. From voice agents that handle live customer calls around the clock to offline, deterministic CI evaluation suites, I work to ensure performance, reproducibility, and correctness across cloud environments.
- 22 years' experience
- Joined September 2026
Industry experience
- Software & Internet
- Healthcare
- Media & Entertainment
- Financial Services
Work experience· 6 roles
Designed and developed production systems through discovery-to-production, including CI access control models enforced at the API route level, FastAPI services with async SQLAlchemy/asyncpg/PostgreSQL and Redis integration, JWT access with refresh, and automated audit logging for agent decisions. Implemented content moderation fallback logic with weighted review queues and human thresholds; enforced global spend and per-user quotas before calls.
Contracted as an AI and human-in-the-loop review layer for LinkedIn training initiatives. Scored outputs against a structured rubric and wrote per-score justifications; promoted into the review layer to sign off tasks before final submission.
Evaluated AI-generated code for correctness, efficiency, and security; built coding problem stress tests for autonomous agents; contributed to evaluation rubrics and frameworks used to judge agent behavior.
Education
Certifications and awards· 7
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