AI Engineer with 2+ years in RAG Pipelines & LLM Integration
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AI Engineer with hands-on experience designing and building large-scale intelligent document processing, retrieval, and multi-agent orchestration systems. Combines classical information retrieval techniques with modern LLM-based reasoning to build production-grade NLP pipelines. Proven ability to debug complex multi-stage systems, tune ranking algorithms, and integrate LLM components for contextual document understanding
SIES College, Mumbai
Master's · Data Science
August 1, 2023 – June 30, 2025
SIES College, Mumbai
Bachelor's · Computer Science
August 1, 2020 – June 30, 2023
iLogicplus Solutions
Junior AI / Software Engineer
June 1, 2025 – Present
India
MGgrid Technologies
Full Stack Developer (Internship)
June 1, 2024 – May 31, 2025
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AI-Powered Resume Builder
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Cultural Fit Analysis
The candidate's experience spans academic projects, an internship in full-stack development, and a current role as a Junior AI/Software Engineer. This diversity indicates adaptability and a willingness to explore different technical areas. The focus on AI/NLP and LLM-based systems aligns directly with an AI Engineer role, suggesting a strong interest and commitment to the field. The projects demonstrate both individual initiative and the ability to contribute to product development.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a problem-solving mindset, particularly in optimizing RAG pipeline reliability and resolving edge cases. The ability to work on both academic and personal projects suggests initiative and a continuous learning attitude. The role at iLogicplus Solutions aligns well with the target role of an AI Engineer, demonstrating practical application of advanced AI concepts.