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Open source sorcerer. Agent conduit.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CS Boutique
Data Scientist
June 25, 2026 – Present
opencode-harness-extract
June 6, 2026 – Present
A minimal, local-first LLM harness extracted from opencode's infrastructure
View Projecttraining
May 28, 2026 – Present
Fine-tuning with Unsloth: SFT + GRPO on Qwen3-4B. Includes Effect TypeScript code generation and Marcus Aurelius philosopher training. Uses LoRA adapters for efficient training.
View ProjectA2A-Guide
May 21, 2026 – Present
Comprehensive guide to the A2A (Agent-to-Agent) Protocol - an open standard for AI agent communication and collaboration.
View Projectanonize
May 10, 2026 – Present
Python CLI tool to anonymize documents by replacing PII with realistic fake values or deterministic placeholders.
View Projectresume-scanner
May 9, 2026 – Present
Analyze recruiter emails against your resume to detect templated/AI-generated outreach
View Projectstock-agent
May 7, 2026 – Present
Automated stock chart analysis via screenshots. Feed trading platform screenshots to a local vision LLM for ranked allocations, position reviews, and technical analysis.
View ProjectPractice
April 19, 2026 – Present
Production ML lab for learning end-to-end ML systems: vision/audio/text classification, embeddings, serving APIs, active learning, orchestration, and AWS deployment. Includes Marcus Aurelius philosopher training as a fine-tuning learning exercise.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in cutting-edge AI/ML topics, particularly LLMs and agent systems. This aligns with an innovative and research-oriented culture. However, the lack of team-based projects or professional experience details makes it difficult to fully assess cultural fit, especially regarding collaboration and integration into an existing team. The current role as 'Data Scientist' at 'CS Boutique' is a future start date, providing no current professional experience to evaluate.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive, self-directed learning approach, but no direct assessment of collaboration, stress handling, or work attitude is available.