LichAmnesia (Shen Huang)

Hi there 👋 I'm Shen Huang!

Tech Lead @Google Ads.

X Follow Linkedin: shenhuang GitHub followers website

Personal Projects

Job Seeker Tools
Tools and resources to help job seekers succeed in their career journey.
OrangeBot AI
An AI-driven platform providing advanced information tools and insights.
AI Developerfy
A directory and resources hub for developers building with AI technologies.
LLM Engineering Handbook
A comprehensive guide to engineering with large language models.

Recent Blog Posts

How to Successfully Land Projects at Big Tech
Insights and strategies to secure impactful projects.
Scaling People: Insights from Claire
Lessons on empowering teams and driving growth.
What Happens When You Accidentally Email Steve Jobs about a Job at Google?
Reflections on mistakes and their unexpected outcomes.
The Art of Doing Science and Engineering
Key takeaways from Richard Hamming’s timeless book.

📫 Like to meet me?

Pick a slot if you'd like to meet me and chat about anything you are passionate about - but make sure to describe the agenda

meet_link

A little more about me...

const shenhuang = {
 pronouns: "He" | "Him",
 code: ["Python", "Java", "TypeScript", "SQL"],
 askMeAbout: ["Google Ads", "tech leadership", "product management", "travel tech", "generative AI"],
 currentRole: {
 company: "Google",
 teams: ["Google Ads", "Google Flights", "Google Hotels", "AI Overview"],
 },
 personalProjects: [
 {
 name: "Job Seeker Tools",
 url: "https://jobseekertools.com",
 description: "Tools and resources to help job seekers succeed in their career journey.",
 },
 {
 name: "OrangeBot AI",
 url: "https://orangebot.ai",
 description: "An AI-driven platform providing advanced trading tools and insights.",
 },
 {
 name: "AI Developerfy",
 url: "https://aidevelopify.org",
 description: "A directory and resources hub for developers building with AI technologies.",
 },
 {
 name: "LLM Engineering Handbook",
 url: "https://github.com/LichAmnesia/llm-engineering-handbook",
 description: "A comprehensive guide to engineering with large language models.",
 },
 ],
 technologies: {
 frontEnd: {
 js: ["React", "Next.js"],
 css: ["Tailwind", "Material UI"],
 },
 backEnd: {
 python: ["Flask", "FastAPI"],
 java: ["Spring Boot"],
 },
 cloudServices: {
 googleCloud: ["BigQuery", "Cloud Functions", "Firestore", "Cloud Run", "Pub/Sub"],
 aws: ["S3", "EC2"],
 },
 devOps: ["Docker🐳", "Kubernetes", "GitHub Actions", "Cloud Build"],
 databases: ["PostgreSQL", "Bigtable", "Firebase Realtime DB", "redis"],
 misc: ["REST APIs", "GraphQL", "WebSockets", "Data Pipelines"],
 generativeAI: ["GPT", "Vector Search", "LangChain"],
 },
 architecture: {
 frontEnd: ["SPA", "SSR"],
 backEnd: ["microservices", "monolithic", "serverless"],
 devOps: ["CloudFormation", "Terraform"],
 databases: ["Relational", "NoSQL", "In-memory"],
 },
 currentFocus: "Driving innovation in travel tech and generative AI solutions.",
 funFact: "I built my first travel-related project during a 48-hour hackathon, and it’s been my passion ever since!",
};