Pacvue

Pacvue (formerly Assembly) is a technology holding company that runs a portfolio of web applications that help e-commerce sellers sell on online marketplaces such as Amazon and Walmart. As the Principal Engineer for the AI Labs team, I worked as an individual contributor and a technical leader for several different products within the company, focusing on Data Engineering, Machine Learning, and Artificial Intelligence.

After being acquired by Assembly, the CTO of OrderMetrics had left the company to pursue a PhD, and I was placed with the company to perform a full re-build of the application from the ground-up. OrderMetrics was a financial analytics application that gathered ecommerce data from external sources such as Shopify, Amazon, Etsy, Facebook Ads, Google Ads, Google Analytics, and others, and allowed used to analyze their data in one place.

Helium 10

I performed Technical Due Diligence for the acquisition of Helium 10 by Assembly, and after the acquisition, I served as Interim CTO while I assisted in the executive search for the company's current CTO. During that time, I oversaw the engineering team as it grew from 20 to 60 engineers. 

Metric Collective

At Metric, I was the first engineering hire and served as CTO until it was acquired by a new operator, at which point I served as Advisor. Metric is a Portfolio Holding Company operating several independent and inter-related properties, and I grew the engineering team to a peak size of 6 engineers.  I worked closely with the rest of the executive team on product and technology strategy, and executed the implementation of all major technology systems.

Weill Cornell Medicine

Experienced Fractional CTO and AI expert skilled in greenfield development, data engineering with Python, TypeScript & OpenAI.

Engineering

Kevin J. Dolan

Fractional CTO

Advisor

Product

Technical Architecture

Data Engineering

Artificial Intelligence (AI)

Python

TypeScript

OpenAI

Snowflake

Kubernetes

MLflow

Transformers

Qwen/Qwen-14B

Unreal Engine

Stable Diffusion

React

React Native

As part of Pacvue's data team, I implemented a novel Sales Estimation Model, crucial for Amazon sellers, significantly enhancing its accuracy and capabilities. Initially tasked with transitioning a proof-of-concept model into production, I identified and rectified flaws in data collection and model evaluation. Leveraging XGBoost, I developed an alternative model delivering results competitive with significantly more expensive enterprise providers. Moreover, I engineered a robust orchestration engine, facilitating billions of daily inferences for widespread use across Pacvue's mainline products, notably Helium 10's Market Tracker 360 benefiting tens of thousands of customers.

Amazon Sales Estimation Model

Data Science

XGBoost

dagster

At Pacvue's AI Labs, I spearheaded research into cutting-edge AI technologies, particularly Generative AI, and I created a pioneering Aspect-Based Sentiment Analysis tool using Python and OpenAI's GPT-	4 LLM, capable of extracting structured data from millions of Amazon reviews without manual tagging. This tool, surpassing traditional NLP methods, was able to perform open-domain unconstrained aspect-based sentiment analysis, topic classification, as well as demographic data extraction. I productionized the product for a pending public release, and advised the frontend team on functional design.

Amazon Review Analyzer

Principal Engineer

I led the implementation of the Snowflake Data Lake at Helium 10, consolidating disparate application databases into a unified data lake for enhanced analytics. Using Python, I developed a YAML-based system to ingest data from multiple engines, ensuring freshness every 15 minutes via Snowflake and AWS S3. I also implemented Git-based change management and collaborated on DBT setup for efficient data modeling and transformation. This system processes over 10 TB of data daily.

Snowflake Data Lake

Technical Director

I was personally responsible for the ground-up re-implementation of OrderMetrics, after it was acquired by Assembly. The core was a Python-based engine for collecting data from several heterogeneous ecommerce data sources capable of multiplexing over 10k/sec rate-limit-aware API requests. Additionally, I developed a library of over 100 globalized financial accounting metrics, and worked with a team of 6 frontend engineers to develop the application, supported by a GraphQL Backend in Node. OrderMetrics as a brand was shut down, but the technology was integrated into other Assembly products.

OrderMetrics

Financial Analytics

Node.js

GraphQL

As a personal project, I developed an end-to-end proof-of-concept automated pipeline for the generation and narration of bedtime stories, designed to be distributed as a free nightly podcast, as well as a premium app. As a related exercise, I developed a collaborative AI writing tool and used it to write an 18,000 Novella in the Young Adult category. Samples available upon request.

DeepSleep Stories

Rapid Prototyping

Writing

I built a web application (previously: Rentenna) to crawl rental listings in New York City, and display them with an associated “Rentenna Score” that assessed the listing for a variety of factors. We later renamed the application AddressReport and focused on building a full report of rich data collected from several private and public sources. This company was acquired by OnBoard Informatics.

AddressReport

Chief Technology Officer

Greenfield Development

JavaScript

amazon aws

After acquiring an online retailer of wedding linens, I developed an e-commerce backend and taxonomy for millions of product combinations. As part of this, I also developed a machine vision technology that allowed the automatic projection of fabric colors and textures onto in-context photographs of wedding linens to dramatically reduce the cost of producing high-quality photographs.

Union Square Linens

Machine Vision

NumPy

SciPy

I inherited a Wordpress website, and performed a full re-write to turn it into a successful modern web application. I then served as the sole engineer for the product, eventually hiring and managing two engineers. This included a web application frontend, a content-management system, and a lead-mangement system complete with call-center operations.

FranchiseHelp

Frontend

Call-Center Operations

Twilio SendGrid

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