Staff AI / ML / Backend Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
kb-rs
February 23, 2026 – Present
Structured expertise management for AI coding agents (Rust port of mulch)
View Projectbeads-rs
February 23, 2026 – Present
Rust rewrite of beads - dependency-aware issue tracker for AI agents
View Projectexpo-expert
January 24, 2026 – Present
A claude plugin for developing expo apps with supabase, powersync
View Projectsfs-sr-single
January 5, 2020 – January 7, 2020
Single Shot Super-Resolution with Shape from Shading using Opt-Solver and GPU acceleration
View Projectcuda-image
May 3, 2019 – January 5, 2020
Cuda wrapper for images with basic functionality (math ops, reductions, conversion, visualization)
View Projectimage-models
August 29, 2018 – August 29, 2018
Different models/architectures implemented in keras, designed to use the same interface
View Projectdepth-adaptive-diffusion
September 21, 2017 – October 13, 2017
Implementation of "A Convex Formulation of Continuous Multi-label Problems" by T.Pock et al. from ECCV 2008
View Projectdrive_teensy_flexcan_test
June 14, 2017 – April 16, 2018
Small sample code to test FlexCAN implementation on multiple Teensy 3.2
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards low-level programming, AI/ML, and embedded systems (C++, Cuda, Rust, Python). While there is one frontend project (peakbook-qr), the overall portfolio diversity leans away from a pure 'Frontend Developer' target role, suggesting a potential mismatch in primary interests and expertise. The breadth of technologies indicates a willingness to learn and explore different domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.