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AI Engineer with less than a year in Multi-modal LLMs & API Integration
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Assessing your cultural and operational fit
AI & Data Science engineering graduate with experience in building multi-modal LLM agents and integrating complex backend APIs. Looking for an AI developer role where I can focus on building agent workflows, connecting APIs, and setting up RAG pipelines.
Presidency University Bengaluru
B.Tech · Information Science & Technology
January 31, 2022 – November 28, 2025
Global Solution
Trainee and Junior Developer
January 16, 2025 – April 19, 2026
Bengaluru, Karnataka, India
Multi-Modal Financial Analysis Agent (RAG Pipeline)
December 31, 2025 – Present
• Architected a Retrieval-Augmented Generation (RAG) pipeline designed to extract high-precision insights from complex financial reports. • Integrated Large Language Models (LLMs) and vector search to process, index, and retrieve data efficiently across multi-modal streams.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in both cutting-edge AI (RAG, LLMs) and practical applications (facial recognition, financial analysis), indicating a proactive and innovative mindset. The full-stack experience suggests adaptability and a willingness to work across different parts of a system. The academic background in AI and Data Science, combined with personal projects, shows a strong alignment with an AI-focused culture. However, the limited professional experience (trainee/junior developer, intern) means there's less data on long-term team collaboration or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to architect and integrate complex systems, suggesting strong problem-solving and technical execution skills. The research intern role implies an ability to assist with coordination and tutoring, hinting at collaboration and communication potential. However, direct evidence of operational fit beyond technical execution is limited.