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prompt-fence
January 15, 2026 – Present
A Python SDK (backed by Rust) for establishing cryptographic security boundaries in LLM prompts.
View ProjectAI_Updates
November 24, 2025 – Present
Python tool that periodically scrapes Anthropic's, Uber's and Google's AI blogs for new publication and sends updates on telegram.
View Projectanuraag-khare.github.io
June 24, 2025 – Present
anuraag-khare.github.io — GitHub repository
View Projectdjango_crm
January 24, 2024 – October 9, 2024
A Customer Relationship Management Application with User authentication and permission management.
View ProjectAnythink-Market-gc4b1se0
November 19, 2022 – November 19, 2022
Anythink-Market-gc4b1se0 — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and a passion for technology. The diversity of projects, from LLM security to desktop companions and web applications, suggests a broad interest in different domains. However, the direct alignment with a 'Data Scientist' target role is moderate; while Python and AI-related projects are present, there's no explicit mention of data science specific methodologies, tools (e.g., Pandas, NumPy, Scikit-learn), or machine learning model development beyond general AI blog scraping. The lack of professional experience or education makes it difficult to assess cultural fit within a structured team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style. No psychometric test results are available.