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Assessing your cultural and operational fit
mind_the_gap
January 25, 2026 – Present
LLM evaluation platform addressing tokenization gaps in MCQA benchmarks that cause up to 11% accuracy differences
View Projectai_agent_watcher
January 18, 2026 – Present
OpenAI Agent Watcher - Spring Boot service for monitoring AI agent activities. Captures agent thoughts, actions, and telemetry in real-time with REST APIs, PostgreSQL storage, and Liquibase migrations. Debug agent reasoning, track performance metrics, and maintain audit trails of AI agent behavior.
View ProjectNews-Extractor
November 26, 2020 – December 31, 2020
Extract news about whatever from wherever, whenever you want.
View ProjectAudio-Plotter
November 6, 2020 – August 8, 2021
Python Script to plot song files in .wav format using matplotlib
View ProjectNeural-network-course
September 21, 2020 – September 21, 2020
Neural-network-course — GitHub repository
View ProjectMemory-Allocator-and-Automatic-Garbage-Collector
February 21, 2020 – May 1, 2020
Implemented a Memory allocator and an Automatic Garbage collector
View ProjectCultural Fit Analysis
The candidate's personal projects show a broad range of interests and technologies (Java, Python, Dart, Kotlin, Swift, C++, HTML, Cython). This diversity suggests adaptability and a willingness to explore different domains. However, the lack of team-based projects or contributions makes it difficult to assess cultural fit in a collaborative environment. The projects are primarily personal, which might indicate a preference for independent work, but this is an inference.
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.