Pleased to make your internet acquaintance. Lover of cats, typewriters, and all things internet. I’m a Customer Success Engineer at LandingAI helping manufacturers and life sciences teams design, train, and deploy computer vision apps—then prove ROI with real production metrics. Former Front-End Developer, forever curious, and sometimes a writer.
I translate business pain into shipped solutions. That means hands-on model design and optimization, guiding customers from POC to production, and telling the story in the language of outcomes: inference counts, cycle time, yield, and cost savings. I partner cross-functionally with Sales, Product, and Engineering, and I’m comfortable at the edge (think NVIDIA Jetson + AWS Greengrass) and in the boardroom with a crisp ROI narrative. Recent collaborations include Parker Hannifin, NXP, AstraZeneca, and Medtronic.
A few fast facts from recent work.
Help enterprises scope, train, and deploy inspection apps that stick.
From lab to line with reliable throughput.
Manufacturing & Life Sciences focus.
Select orgs I’ve supported.
Condensed examples of how I work—problem → approach → outcome.
Problem: Visual inspection consistency and throughput on complex assemblies.
Approach: Curated data strategy, anomaly + classification models, reference edge deploy on Jetson.
Outcome: Clear path from pilot to production with measurable quality and cycle-time improvements.
Problem: Defect categorization and yield insights for high-volume parts.
Approach: Iterative model training with rigorous evaluation, dashboarding for decision support.
Outcome: Improved detection fidelity and actionable analytics to guide process tuning.
Problem: Determining ROI fit for automated inspection in a regulated context.
Approach: Discovery workshops, data pilots, and risk/benefit framing with compliance in mind.
Outcome: Informed go/no‑go decision criteria and prioritized next best use cases.
Problem: Consistency across multiple lines and parts.
Approach: Standardized annotation & evaluation playbook; demo assets for stakeholder buy‑in.
Outcome: Faster alignment and clearer acceptance thresholds across teams.
I started on the front end—shipping responsive experiences for enterprise brands like PGA Tour and ABC.com and obsessing over details from XSLT quirks to page performance. That foundation still informs my work: crisp demos, clean narratives, and empathy for every user in the loop. These days you’ll find me building value-proof demos, wrangling RFPs, and stitching together reference apps that show how AI actually lands in production.
I write when the creative itch strikes. Short stories and poems live here. I also snap photos—mostly on Instagram these days.