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AI Engineer with less than a year in Generative AI & RAG Architectures.
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Assessing your cultural and operational fit
Artificial Intelligence undergraduate student and AI Developer Intern specializing in the Generative AI ecosystem, RAG architectures, and intelligent agent orchestration (LangChain & LangGraph). Experienced in automation, data engineering pipelines, and cloud-based Machine Learning solutions.
UNIMAR
B.S. · Artificial Intelligence
August 1, 2025 – June 30, 2029
AI Development Intern
AI Development Intern
October 1, 2025 – Present
India
Urban Mobility Dashboard (Citi Bike NYC)
June 25, 2026 – Present
Interactive Python/Pandas system for geospatial analysis of 104k+ bike trips in NYC using OpenRouteService API, Deck.GL, and Mapbox.
Squad AI (Agency Automation)
June 25, 2026 – Present
Architectural design and implementation of a multi-agent framework to automate operations within advertising agencies.
Banking Security Facial Recognition
June 25, 2026 – Present
Programmed a real-time authentication ML pipeline in Python focused on biometric security and fraud reduction.
Intelligent RAG Agent
June 25, 2026 – Present
Built state-driven conversational structures via LangGraph for precise and reliable retrieval against external knowledge bases.
AWS Certified AI Practitioner Certification
AWS
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in AI applications, from urban mobility to banking security and agency automation, indicating a broad curiosity and willingness to explore different problem domains. The focus on Generative AI and RAG architectures aligns well with current industry trends for an AI Engineer role. The combination of academic pursuit in AI and practical internship experience, along with an AWS certification, suggests a proactive and learning-oriented individual. However, the candidate is still an undergraduate student, which might imply a need for more mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's resume highlights experience in designing and deploying complex workflows and operating within structured development lifecycles (Azure DevOps), suggesting an aptitude for structured problem-solving and operational discipline. The project descriptions imply an ability to work on diverse AI applications, which could translate to adaptability in a team setting. However, without direct assessment data, specific soft skills like teamwork, communication, and stress handling cannot be definitively evaluated.