“Work that typically took days came back in minutes. Any team building AI for real users would be extremely lucky to have him!”
James NiuSr. Staff AI EngineerOpen to AI engineering opportunitiesSan Francisco · Remote USEMAILLINKEDIN
I build agentic AI systems, then make them hold up under real traffic.
6 months became 5 days. At Basis Technologies, I rebuilt media planning from ideation through the right audience, right time, and right channels, reaching 98% accuracy across 200 turns.
6 months to 5 daysEND-TO-END MEDIA PLANNING WORKFLOW
98%ACCURACY ACROSS 200 TURNS
1.7M tokensCONTEXT COMPACTION, 8X LONGER SESSIONS
Media planning workflow cut from 6 months to 5 days
98% accuracy across 200 turns
$175M+ media spend, 3B+ impressions
40 stakeholder recommendations on LinkedIn
AI copilot serving 120+ enterprise advertisers
10 years building production AI systems
01 / STAKEHOLDER PROOF
Trusted across the customer, product, engineering, and quality table.
“He focuses on what happens when the agent is wrong, who is accountable, and how you would know before your customer does.”
“When an agent workflow behaved unexpectedly, James was the person I trusted to diagnose it. Any team building production AI agents would be stronger with him on it.”
“He understood edge cases, welcomed QA feedback, and jumped on bugs early. That commitment to quality showed up directly in our releases.”
“An extremely forward thinker as AI capabilities emerged. A growth mindset with the ability to learn fast.”
02 / WORK EXPERIENCE
A decade of measurable AI and business impact.
Basis Technologies
Sr. Staff AI Engineer
- 6 months to 5 days for end-to-end media planning.
- 98% accuracy across 200 turns.
- 0.03 false positives across 190+ evals.
Advantage Solutions
Principal AI Solutions Architect
- 40% staffing accuracy.
- 20% campaign ROI.
- 70% lower reporting cost and runtime.
Leadership Circle
AI Solutions Engineer
- 50% fewer support tickets.
- 99% reliability.
- 30% lower infrastructure cost.
Medlytix LLC
Data and AI Architect
- 25% higher recovery efficiency.
- 25% fewer denials.
- 20% better early detection.
GeoAlliance Consultants Pte Ltd
Forward Deployed Engineer (FDE)
- 60% faster contract review.
- 15+ late projects prevented.
- 15% higher worksite efficiency.
M Capital Group (MCG)
Machine Learning (ML) Engineer
- 30% higher forecast accuracy.
- 20% lower risk.
- 50% less model-ops friction.
EDUCATION
2017 TO 2019Columbia University in the City of New YorkMS in Operations Research
2014 TO 2017London School of Economics and Political ScienceBS in Economics, First-Class Honors
ORCHESTRATION · EVALUATION · RELEASESeven systems, with evals and failure paths.
04 / SELECTED WORK
Production AI agents, evaluation systems, and inference services.
FEATURED CASE STUDY
Autonomous Ads Pipeline
Four-engine ad creation gated before paid regeneration.48HUMAN-GRADED EXEMPLARS
28VERSIONS ACROSS 4 ENGINES
10DERIVED GATING THRESHOLDS
7 STEPS · 4 GUARDS · 10 PROBESGitHub
01 / VOICE AI
Realtime Voice Agent
Turn-taking, interruption recovery, and failover for realtime voice.
02 / REINFORCEMENT LEARNING
Multi-Agent Drone Navigation
Coordination under motion, drift, and conflict.
03 / LLM EVALUATION
Self-Hosted Evals Lab
Prompt strategies measured with confidence intervals.05 / HOW I WORK
The checks between a demo and production traffic.
Trace every tool call.
Fail the build on bad evals.
Route around slow or failing models.
Stop risky actions at the gate.
06 / TECHNICAL SKILLS
What actually ran behind these systems.
AGENTS
Agentic LLM SystemsLangGraphModel Context Protocol (MCP)Agent-to-Agent (A2A)Retrieval-Augmented Generation (RAG)Function CallingTool CallingMulti-Model OrchestrationPrompt Engineering
EVALS
LLM EvaluationLLM-as-JudgeGolden DatasetsCI-Gated RegressionGuardrailsObservabilityTracing
APPS
PythonTypeScriptFastAPIReactSQLAlchemyWebSocketspandas
DATA
PostgreSQLRedisSQLMultimodal AIComputer VisionSnowflakeDatabricksVector Databases
QUANT
Operations ResearchOptimizationQuantitative EconomicsEconometricsQuantitative FinanceStatisticsStochastic ModelingSimulationDecision Science
INFRA
DockerKubernetesAWSCI/CDLangfuseMLOpsLLMOpsMicrosoft Azure
MODELS
ClaudeGPTGeminiPyTorchHugging FaceONNXTensorFlowTransformersFine-TuningElevenLabs
07 / NEXT
Need an AI agent that survives production traffic?
Full-time AI roles in San Francisco or remote US.