Su Zhang

Su Zhang

Machine Learning Engineer at Nirva Labs
Ph.D. in Computer Science from Washington State University (2025), advised by Dr. Matthew E. Taylor. Research in reinforcement learning, transfer learning, and learning from demonstration.
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Experience

2025 – Present

Machine Learning Engineer

Nirva Labs · Contract via Gradient Works LLC
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  • Architected end-to-end audio ML pipeline integrating multiple models for speaker diarization, voiceprint matching, and LLM-driven content extraction
  • Built LLM-powered analytics features with observability tracing, caching layers, and configurable thresholds via RESTful APIs
  • Developed adaptive scoring and classification pipelines for multi-modal signal processing with real-time visualization on iOS
  • Implemented 15+ native iOS screens (SwiftUI) with offline-first local persistence, including onboarding flows, real-time chat UI, and data visualization dashboards
  • Contributed to production Python backend (FastAPI) with vector search and relational database integration, deployed on AWS with infrastructure-as-code
  • Designed evaluation framework with custom quality metrics for LLM-generated conversational outputs
2021 – 2025

Staff Assistant — Enterprise Systems / BI

Washington State University
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  • Developed, modified, and validated SQL logic, ETL processes, and data tables in OBIEE/OAC for university-wide enrollment and demographic reporting
  • Created and standardized dashboards, data canvases, and visualizations across multiple organizational levels for the Graduate School Fact Book

Education

2025

Ph.D. in Computer Science

Washington State University · GPA 3.9/4.0 · Advisor: Dr. Matthew E. Taylor
2017

M.S. in Computer Science

Indiana University · GPA 3.97/4.0
2015

B.S. in Computer Science & B.S. in Economics

Wuhan University

Skills

Languages
Python, C/C++, Java, Swift, SQL, Lua
ML & AI
PyTorch, TensorFlow, OpenAI Gym, LLM APIs, RLHF, RAG, Qdrant, LangSmith
MLOps / DevOps
Docker, FastAPI, CI/CD, Pulumi IaC
Cloud & Data
AWS (ECS, S3, RDS), PostgreSQL, Redis, OBIEE/OAC
Mobile
SwiftUI, GRDB, XcodeGen, BLE, LiveKit

Service

Program Committee: Human-aligned RL Workshop at ICRA 2024 · Reviewer: TMLR, MRS 2023, AAMAS 2024