Ph.D. | ML/AI | 2x Triathlete
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Assessing your cultural and operational fit
zenii
March 6, 2026 – Present
Your machine's AI brain. One 20MB binary gives every tool, script, and cron job shared AI memory + 136 API endpoints. Desktop app, CLI, Telegram — all connected. Rust-powered.
View ProjectUdacity-Self_Driving_Car_NanoDegree
November 5, 2016 – July 5, 2017
Udacity's Self Driving Car Nanodegree Projects
View ProjectEnronFraudInvestigation
February 11, 2016 – April 6, 2016
EnronFraudInvestigation — GitHub repository
View ProjectLatent-Dirichlet-Allocation
November 26, 2015 – November 27, 2015
Latent-Dirichlet-Allocation — GitHub repository
View ProjectCampingGroundsInOntario_IBMWatson
August 17, 2015 – August 17, 2015
Using IBM Watson for Mining Information of Camping Grounds in Ontario
View ProjectDAND-DataAnalysisWithR
August 8, 2015 – August 17, 2015
Udacity Data Analyst Nanodegree - Data Analysis with R
View ProjectDAND-DataWranglingWithMongoDB
August 8, 2015 – August 19, 2015
Udacity Data Analyst Nanodegree - Data Wrangling with MongoDB
View ProjectPhaseFieldModel_IGA
June 1, 2015 – June 10, 2015
Phase Field Modeling of shape memory alloy using Isogeometric Analysis
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects and self-directed learning, particularly through Udacity nanodegrees. This suggests a proactive and self-motivated individual. However, the projects are predominantly personal, and there is no information on team-based work or professional experience, making it difficult to fully assess cultural fit in a collaborative corporate environment. The target role is 'Data Scientist', and while many projects align, the breadth of technologies (e.g., Rust, Svelte, Kotlin) in 'zenii' suggests a broader interest beyond pure data science, which could be a strength or a potential distraction depending on the specific team's focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.