iOS and Android implementing both for over 12 years. Favorite languages are SwiftUI and Kotlin in MVVM. UIKit, Obj C, Flutter (Dart) and React Native
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aibuddy-llm-trainer
June 12, 2026 – Present
Train your own small language model locally — data download, preprocessing, pretraining, SFT/DPO/PPO/GRPO post-training, and chat. Powers the AIBuddy desktop Train-AI feature.
View ProjectNISTiOTSecurityChecker
January 6, 2025 – January 6, 2025
NISTiOTSecurityChecker — GitHub repository
View ProjectCoreBluetoothSPM
December 2, 2024 – December 2, 2024
CoreBluetoothSPM — GitHub repository
View Projectrxswift-clean-architecture-example
November 22, 2021 – November 22, 2021
rxswift-clean-architecture-example — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad interest in various technologies, including mobile development (Swift, Kotlin), web (TypeScript, JavaScript), and scripting (Python, Ruby, Shell). The 'aibuddy-llm-trainer' project aligns well with a Data Scientist role, indicating a proactive approach to learning and applying AI/ML concepts. The diversity of projects suggests adaptability and a willingness to explore different domains, which can be a positive cultural fit for dynamic environments. However, the majority of projects are personal, and there is no information on collaborative work or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available for evaluation.