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AI Engineer with less than a year in Generative AI, RAG Pipelines & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented Informatics Engineering student with a strong passion for Artificial Intelligence. Possessing solid foundational knowledge in programming, data structures, and algorithms, complemented by hands-on experience in developing AI-powered solutions using modern frameworks like LangGraph and Flask. Eager to contribute innovative AI applications to real-world challenges.
Institut Teknologi Nasional (ITENAS)
Bachelor of Informatics Engineering · Informatics Engineering
August 1, 2024 – June 30, 2028
Farmile | AI Talent Hub 2025 Project
June 1, 2026 – Present
Conceptualized and developed a smart career ecosystem platform using a multi-agent architecture. Integrated an AI-driven ATS checker, autonomous CV builder, and an AI interviewer system to evaluate and score user portfolios.
GraphWeaver
June 1, 2026 – Present
Designed and built an AI-powered forensic investigator system orchestrating multi-agent workflows using LangGraph. Integrated Neo4j with Llama-3 to map, query, and uncover hidden connections within complex Knowledge Graphs. Successfully deployed the core AI logic into a production-ready Flask API, enabling seamless backend integrations and request handling.
SecondBrain (ScholarSync)
June 1, 2026 – Present
Developed a document intelligence memory system utilizing Retrieval-Augmented Generation (RAG) to reduce AI hallucinations. Implemented document ingestion, chunking strategies, and vector database retrieval for grounded, citation-backed answers.
Full Stack RAG AI Engineer
Unknown
June 1, 2026 – Present
AI Talent HUB Indonesia 2025
Unknown
June 1, 2026 – Present
Elevaite Azure 2025 by Dicoding
Dicoding
June 1, 2026 – Present
Data Science and Machine Learning Bootcamp
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with an AI Engineer role, focusing on practical applications of Generative AI, RAG, and multi-agent systems. The diversity of projects (forensic investigation, document intelligence, career ecosystem) shows a broad interest in applying AI to different domains. Participation in AI talent hubs and research grants indicates a proactive and ambitious individual who is keen on contributing to the AI community. The candidate's current education status suggests a growth mindset and a willingness to learn and adapt, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest strong problem-solving skills and an ability to conceptualize and implement complex AI systems. The multi-agent architecture projects indicate an understanding of system design and orchestration. While direct evidence of teamwork or stress handling is not provided, the nature of the projects implies a degree of self-management and initiative. The candidate is currently pursuing a Bachelor's degree, indicating a strong learning orientation and foundational academic rigor.