.png){kind=logo}
Zhixuan Zhu
Intern Software Engineer specializing in full-stack web apps and distributed systems
Connect with Zhixuan
Zhixuan already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Backend/Full-stack engineer who built a Go-based API for a real-time eye-tracking system (calibration/recording/streaming) and debugged intermittent long-session timeouts through improved observability and concurrency refactors. Also shipped an LLM-driven "Doctor Simulator" product end-to-end (React/Node/Go/MongoDB/OpenAI), including structured prompts, deterministic verification/termination logic, and production guardrails like validation, retries, and prompt versioning.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Debugging intermittent production timeouts via instrumentation and end-to-end tracing
- Designing performance-sensitive real-time backend APIs (streaming sessions, predictable latency)
- End-to-end ownership of applied LLM product features (frontend, backend, DB, auth, deployment)
- Building reliable multi-step LLM workflows with deterministic state + probabilistic generation separation
- Implementing AI guardrails: validation, bounded retries, prompt/model versioning, safe fallbacks
- Relational data modeling with constraints and indexes; query optimization (pagination, composite indexes, DISTINCT ON) to improve latency
Like what you see? We'll introduce you to Zhixuan directly.
Experience
Education
Skills
Languages
Browse Similar
Interested in Zhixuan?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Zhixuan
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent