Applied AI Systems Engineer. Agent infra & MCP. Bernstein maintainer.
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Data Scientist
June 21, 2026 – Present
bernstein
March 22, 2026 – Present
Audit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap deploy. The orchestrator your compliance team will sign off on. https://bernstein.run
View Projectshafi
February 26, 2026 – Present
Evidence-first legal QA system — 300+ DIFC documents, 16 retrieval experiments, 87.5% rejected after ablation. LangGraph + Qdrant + FastAPI. Agentic RAG Challenge 2026.
View Projectunlikegram
December 2, 2025 – December 2, 2025
Bulk unlike your liked Instagram posts using the private API.
View Projectcr717
November 8, 2025 – Present
A simple drum sequencer inspired by TR-808 but not pretending to be one
View Projectsentio
July 17, 2025 – November 21, 2025
Boilerplate RAG System with LangGraph Architecture
View Projectsynapse
June 8, 2025 – Present
SYNAPSE: AI-Driven Adaptive Software Engineering. A 2025 research prototype of an autonomous agent that adapts its own success criteria.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI, LLMs, and agentic systems, which aligns well with a Data Scientist role, especially one focused on advanced AI applications. The diversity of projects, from legal QA systems to AI keyboard fixers and travel agents, shows a broad interest in applying AI to different domains. However, the candidate's experience level is listed as 0, with a current role as 'Data Scientist' starting in the future (2026), which creates a discrepancy. This lack of formal professional experience, combined with a large number of personal projects, suggests a strong individual contributor profile but provides limited insight into collaboration within a team or corporate environment. The focus on personal projects, while demonstrating initiative, might indicate a preference for independent work over structured team environments. The target role 'Data Scientist' is well-aligned with the technical skills demonstrated in projects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for innovation and a focus on practical, deployable solutions. The nature of personal projects (e.g., 'AI dev that actually gets things done', 'audit-grade multi-agent orchestration') indicates a results-oriented mindset. However, without formal assessment data (English Test, Psychometric Test), it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The project descriptions themselves are concise but lack detailed explanations of challenges, solutions, or team contributions, which limits the assessment of communication skills.