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MIT | AI | Deep Learning | Agentic Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tei-bench
June 3, 2026 – Present
Controlled, held-out evaluation of the Target-Evaluate-Improve (TEI) loop across 31 agentic tasks. Held-out test, objective endpoint, judge!=agent, n=31 paired stats.
View Projectmegadeck
May 2, 2026 – Present
AI-driven PowerPoint generation with built-in MCP server for Claude Code and any MCP-compatible client. Pydantic DSL + multi-provider LLM + visual critic loop.
View Projecttei-loop
February 18, 2026 – Present
Target, Evaluate, Improve — a self-improving loop for agentic systems — by Orkhan Javadli
View Projectai_safety_eval
January 10, 2026 – Present
Agentic AI safety evaluation framework for LLM systems - content filtering, prompt injection detection, hallucination detection — by Orkhan Javadli
View Projectflash
November 22, 2025 – Present
AI-powered IVR and workflow agentic system — by Orkhan Javadli
View ProjectMarketingIntel
November 1, 2025 – Present
AI Agent System: Marketing Intelligence from Reddit - CS329T Stanford — by Orkhan Javadli
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on AI/ML and backend/agentic systems, with some frontend technologies (TypeScript, JavaScript, CSS, SCSS) appearing in a few personal projects. This indicates a potential misalignment with a dedicated 'Frontend Developer' target role, as the depth of frontend-specific projects is limited compared to AI/ML. The diversity of projects shows initiative, but the thematic focus leans away from pure frontend development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no completion or data available.