Nana Wang

AI BUILDER & STRATEGIST

I'm a visionary AI builder and strategist with an innovative approach to bridging technology, data, and business. I envision AI solutions that transform possibilities into realities, crafting intelligent systems that pioneer new frontiers in human-AI collaboration.

My three superpowers:

  • Analytical rigor
  • Hands-on AI engineering
  • Proactive communication style + people-connecting
Systems thinking
AI product experiments
Human-centered tooling
Nana Wang - AI Builder & Strategist
Prototype first
Curious by default
No black-box thinking

Operating modes

Signal extraction

I sift through messy data and narratives until the real levers emerge.

← hover to explore

Prototype to reality

I build scrappy AI experiments, test with humans, then harden what works.

← hover to explore

Narrative clarity

I translate weird AI behavior into stories humans can act on.

← hover to explore

What people say

A few words from collaborators and leaders I've worked with.

"Nana is an expert in her field and constantly pushing the boundaries of what can be done. She's quick to help others and offers good advice. She is very smart and has a strong desire to be better at her job. She asks for feedback often and makes changes based on it."

Supervisor

"Nana is the real starter who thinks outside of the box and challenges others. She is remarkably intelligent and a great coworker. She is the one person on our team willing to ask hard questions, and I seen it as a quiet but confident leader among her peers."

Colleague

"She very well understands her professional domain and opportunity for contribution to the wider organization. She communicates problems in a clear and thoughtful way - careful to understand the general so she doesn't narrow context. She is transparent with her work and thinking and regularly seeks input, earnestly incorporating feedback into her work and process."

Colleague

"She cares about understanding the business needs and effectively collaborating with business stakeholders to ensure a data science solution is actionable."

Colleague

"Nana's energy and attitude always inspired people to push harder, no matter how big or small the problem or idea."

Colleague

Experiments & systems I've shipped

Prototypes that proved real impact

Enterprise AIEnterprise Project

LLM-powered Call Resolution Analytics and Agent Coaching Tool

Enterprise-level AI system using LLM to analyze raw call transcripts, measure call resolution effectiveness, and distill actionable 'why' insights for customer support teams and agent coaching programs.

Enterprise AILLM AnalyticsCall AnalyticsCustomer SupportAgent Coaching
Enterprise Project
LLM & GenAILive

Resume Parsing & Tailoring Tool

LLM & GenAI powered tool for resume optimization

LLMGenAIPython
Try it Live
Health AIDemo

Linda - Your Daily Health Companion

The first AI assistant that listens to your days, spots personal triggers for chronic pain, and coaches you towards fewer and milder attacks. Built around three core actions: Talk – foregrounds the voice-first, conversation-driven flow; Track – reassures data seekers that you still log and analyse; Tame – promises action and improvement, not just monitoring.

Health AIVoice InterfacePain ManagementPersonal CoachChronic Care
View Demo

Writing

LinkedInMarch 25, 2025

You've Got a Shiny AI Hammer—But Are You Hitting the Right Nails?

Read article →
LinkedInApril 14, 2025

How to Design LLM-Powered Expert Decision Applications

Read article →

Lab notes

Thinking out loud, theories in progress, and questions I'm exploring.

Notes

Working theory

Prompt Engineering Patterns

Systematic approaches to crafting effective prompts for LLMs

Half-baked

Building RAG Systems

Retrieval-Augmented Generation for context-aware AI

Seed

AI Governance Framework

Principles and practices for responsible AI deployment

Working theory

Cost Optimization in AI

Strategies for reducing AI infrastructure costs

Questions

How do we measure the real impact of AI systems on human outcomes?

What are the emerging patterns in multi-agent AI coordination?

How can we make AI systems interpretable to non-technical stakeholders?

What does alignment mean in the context of agentic systems?

Let's build something interesting

I'm always interested in collaborating on ambitious AI systems, experimental prototypes, and projects that push what's possible. Reach out if you have something we should talk about.