Farhan Kamil Hermansyah

AI Engineer

https://www.opentalent.in/farhan-kamil-hermansyah

AI Engineer with less than a year in Generative AI, RAG Pipelines & Python

Key Strengths

Strong foundational knowledge in Generative AI/ML concepts (LangGraph, LangChain, RAG Pipelines, Prompt Engineering, LLMs).
Practical experience in building AI-powered applications, including multi-agent systems and RAG implementations.
Proficiency in integrating AI models with databases (Neo4j, vector databases) and deploying AI logic via APIs (Flask).
Demonstrated ability to work on complex projects, such as forensic investigator systems and smart career ecosystems.
Relevant coursework in OOP, Parallel Computing, and Artificial Neural Networks provides a solid theoretical base.
Early achievement in AI competitions (Top 20 Finalist, AI Talent Hub 2025) indicates strong potential and drive.

Cultural & Operational Fit

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.

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Projects

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.

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.

Certifications

Elevaite Azure 2025 by Dicoding

Dicoding

June 1, 2026 – Present

Full Stack RAG AI Engineer

Unknown

June 1, 2026 – Present

Data Science and Machine Learning Bootcamp

Unknown

June 1, 2026 – Present

AI Talent HUB Indonesia 2025

Unknown

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Generative AI/ML concepts (LangGraph, LangChain, RAG Pipelines, Prompt Engineering, LLMs).
Practical experience in building AI-powered applications, including multi-agent systems and RAG implementations.
Proficiency in integrating AI models with databases (Neo4j, vector databases) and deploying AI logic via APIs (Flask).
Demonstrated ability to work on complex projects, such as forensic investigator systems and smart career ecosystems.
Relevant coursework in OOP, Parallel Computing, and Artificial Neural Networks provides a solid theoretical base.
Early achievement in AI competitions (Top 20 Finalist, AI Talent Hub 2025) indicates strong potential and drive.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Farhan Kamil Hermansyah

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit