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Agentic AI
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Assessing your cultural and operational fit
Pavo AI
Data Scientist
June 19, 2026 – Present
crewlore
May 26, 2026 – Present
Open, local-first compiler that turns AI-coding-agent sessions into a versioned, plaintext team tribal-knowledge layer in your own git repo (alpha).
View Projectsrijansk.github.io
April 16, 2026 – Present
Srijan Saket — personal site. Tribal knowledge layer for LLM agents.
View Projectagent-relay
February 11, 2026 – Present
Multi-agent workflow orchestrator — docker-compose for AI agents. Define workflows as YAML, coordinate agents through file-based state machines.
View Projectclaude-ui
March 28, 2025 – March 28, 2025
A simple and intuitive web interface for interacting with Anthropic's Claude AI models. This application allows you to chat with Claude, upload documents for analysis, and maintain conversation history.
View ProjectModel-Averaging-for-non-linear-sinusoidal-models
May 13, 2016 – May 13, 2016
Model-Averaging-for-non-linear-sinusoidal-models — GitHub repository
View ProjectModel-Averaging
November 9, 2015 – November 9, 2015
Model Averaging for non-linear one-dimensional and and two-dimensional sinusoidal models
View Projectbike-sharing-demand
January 11, 2015 – August 15, 2015
Kaggle bike sharing demand challenge
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and data science, which aligns with a Data Scientist role. However, the lack of diverse team projects or professional experience beyond a current role with a future start date limits the assessment of cultural fit. The experience level is listed as 0, which contradicts the 'Data Scientist' role at Pavo AI starting in 2026, making it difficult to gauge current professional alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.