Kelvin Lau (Luu)

Kelvin Lau (Luu)

Systems & Revenue. Waterloo CS.
kluu6828@gmail.com [linkedin]

Bridging software architecture and enterprise revenue. Waterloo CS graduate with enterprise engineering roots (Amex, SMART Technologies) and commercial GTM execution (Aftersell). Building autonomous systems and scaling technical pipeline.

Bio

I graduated with a Bachelor of Computer Science (Business Option) from the University of Waterloo, backed by enterprise software engineering co-ops at companies like American Express and SMART Technologies.

Over time, I shifted from writing code to transactional e-commerce sales at first to driving commercial execution and eventually into high-ticket, consultative deals focused on ROI, cash flow, and capital allocation. This led me to scale a marketing agency for B2B wholesale clients and build automated GTM infrastructure.

Today, I combine those two worlds as a technical GTM builder—leveraging AI automation, modern workflows, and engineering depth to excel in hybrid Mid-Market SE and AE roles.

Projects

01Autonomous B2B Lead Generation & Waterfall Enrichment Pipeline
The Enterprise GTM & Waterfall Enrichment Engine.

Built for a Red Light Therapy system client in Boston, MA (in partnership with a managing partner and ex-owner of Suncapsule).

How it works
Ingestion: Processes raw Outscraper gym data for targeted U.S. states.
Filtering & Tiering: Scripts built via Cursor segment accounts and score independent operators into fit tiers based on website indicators.
Waterfall Enrichment: Passes qualified data to Clay and Instantly to automate cold outreach at scale.



CursorOutscraperClayInstantlyPythonSerper

[View Architecture & Code on Github]

02Global Multi-Region Job Application & Persona-Tailored Outreach System
The Semi-Autonomous Job Search & Outreach Engine (Human in the Loop).

Built to solve application fatigue. A deterministic n8n state flow engine running daily at 8:00 AM EST across APAC (HK/SGP), Canada (Toronto), and the USA (TX/FL/NYC).

How it works
Scraping & Matching: Apify scrapes LinkedIn job listings; LLMs evaluate job-fit scores and prioritize Tier 1 targets.
Dynamic Tailoring: Automatically tailors resumes and crafts multi-persona DMs (hiring managers, ICs, recruiters) with custom hooks and CTAs.
Resilience & Scale: Hosted on PikaPods (firewall-friendly for travel to China), utilizing batch timers and rate-limit handling across Gemini, PDFShift, Prospeo, Apollo, and Instantly.



n8nApifyLLMsAirtablePikaPodsGoogle AI StudioTelegram

[View n8n Workflow JSON & Architecture on GitHub]

03AI-Agent Pipeline & Revenue Recovery Engine
The Autonomous Pipeline Generator · In Progress.

Designed for Series A–D SaaS and capital equipment manufacturers. Deploys RSS read-pulls for funding signals, runs AI agents to detect current operational bottlenecks, and generates hyper-personalized outreach. Focuses on selling low-overhead 1099/contract execution to capture unattended pipeline they are losing daily.
n8nAI AgentsRSS FeedsClay