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Assessing your cultural and operational fit
Clothing_Brand_Marketing_Team_M
January 7, 2026 – Present
A multi-agent system built with crewAI to handle the research and strategy for fashion campaigns. It automates the process of analyzing trends, brainstorming content, and reviewing the final strategy.
View ProjectLanggraph_Travel_Planner_MCP
January 6, 2026 – Present
A comprehensive travel planning application built with LangGraph framework, featuring a multi-agent system that uses MCP to provide tools for flight plans, vacation itineraries, hotel suggestions, and travel recommendations.
View ProjectAI-Interviwer
January 6, 2026 – Present
An End-to-End Multi-Agent AI System built with CrewAI that conducts comprehensive technical interviews across Data Science, Machine Learning, Agentic AI, and RAG domains.
View ProjectML_Model_Serving_Over_REST_API_for_Production
November 21, 2025 – November 21, 2025
ML_Model_Serving_Over_REST_API_for_Production — GitHub repository
View Projectmodel-deployment-streamlit
November 18, 2025 – November 18, 2025
model-deployment-streamlit
View ProjectLarge-Language-Model-Operations-LLMOps-Specialization
September 25, 2024 – September 25, 2024
Large-Language-Model-Operations-LLMOps-Specialization — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on AI/ML and agentic systems, which aligns well with a forward-thinking, innovation-driven culture. However, the lack of diverse project types outside of AI/ML and the absence of team-based projects or professional experience make it difficult to fully assess broader cultural fit. The candidate appears to be a self-starter with a strong interest in personal projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.