Founder & Data Engineer

Kevin Clark

Shipping velocity at high precision — turning data into product decisions at startup speed.

Scroll

I'm building the Career Intelligence Hub, an AI-powered platform that intelligently matches talent with career opportunities. As the founding engineer, I own the full stack from data ingestion to deployment — architecting pipelines, shipping features daily, and keeping the team moving at startup velocity.

How I Ship

Three pillars that define the Ship Log approach to building.

Rapid Feature Deploys

Daily releases mean feedback loops measured in hours, not weeks. Every push moves the product forward.

AI Resume Parser v2
Real-time Match Scoring
Talent Discovery Feed
MVP v1 Launch

Data Engineering

Robust pipelines in Python, Snowflake, and dbt processing millions of candidate profiles into structured, matchable data.

PythonSnowflakedbtAirflowSQLSpark

High-Precision Shipping

From concept to production in under 24 hours. Tight cycles keep the team aligned and the product sharp.

<24hconcept to production
92% on-time ship rate

Ship Log

Recent releases from the Career Intelligence Hub build log.

AI Resume Parser v2Core Pipeline

2025-08-12

Real-time Match ScoringFeature

2025-07-28

Snowflake Data Lake MigrationInfra

2025-07-10

Talent Discovery FeedFeature

2025-06-25

dbt Model RefactorData

2025-06-08

MVP v1 LaunchShip

2025-05-20

About Kevin

The person behind the Ship Log.

I'm Kevin Clark — a data engineer and founder based in the Bay Area. I started building when I realized most career platforms treat talent like keywords on a spreadsheet. Career Intelligence Hub is my bet on a better approach: use AI to understand people, not just parse their resumes.

Before shipping this MVP, I spent years engineering data pipelines at scale — moving petabytes through Snowflake warehouses, modeling with dbt, and shipping analytics products that executives actually used. That operational muscle is what lets me ship fast without breaking things.

Let's Ship Together

Building something in data, AI, or career tech? I'd love to hear about it. Book a quick call and let's explore how we might work together.

Book a Call