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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LLM-Prod-dep-template
June 6, 2026 – Present
template how to deploy a custom LLM to PROD like environment.
View ProjectNapiBench
May 31, 2026 – Present
Performance gains benchmark for usage of NAPI.RS in JS apps
View ProjectmultiBunPass
May 12, 2026 – Present
Multipass is great, but the friction is real. MultiBunPass makes it effortless. Get isolated, Bun-preinstalled Ubuntu VMs in seconds—designed for rapid dev and AI workflows. * AI-Ready: MCP server support for LLM sandboxing. * Instant: Bun installed and folder sync active. * Interfaces: CLI, SDK, and MCP. * Reliable: Smart exec and TCP streaming.
View Projectlinkloom-agent-scraper
April 26, 2026 – Present
Built for **TypeScript and Bun**, this toolkit converts URLs, HTML, and PDFs into clean **Markdown**. It uses **Camoufox** for stealthy JavaScript rendering and handles iframes and tables with ease. Featuring a powerful **CLI** and **MCP Server**, it delivers structured web data directly to AI agents like Claude and Cursor.
View ProjectJekyllMarkdownEditBlog
April 19, 2026 – Present
Template for persona blog. Everything is controlled with markdown files
View ProjectpopUpControlChromeExtension
February 2, 2026 – Present
Simple extension to control popUp windows globally. This windows are used by banks and stock platforms, so it can be useful.
View Projectmicroservice-mcp-youtube
November 6, 2025 – November 6, 2025
Project for upcoming YouTube series
View ProjectLora-Fine-Tuning-Pipeline
October 30, 2025 – Present
Fine-tune language models on Apple Silicon (MPS) and NVIDIA GPUs (CUDA) with Metaflow orchestration, Unsloth/PyTorch training, and Polars data processing. The pipeline converts documents to text, generates synthetic QA pairs with a teacher model, and fine-tunes a student model via LoRA.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong inclination towards self-directed learning and exploration of diverse technologies, including AI/ML and infrastructure. While this shows initiative, the majority of projects are not directly aligned with typical enterprise-level frontend development, which might indicate a different focus or require adaptation to standard team workflows and established frontend frameworks. The breadth of technologies suggests a curious mindset, but also a potential lack of deep specialization in core frontend frameworks (e.g., React, Angular, Vue).
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.