● Developed a Retrieval-Augmented Generation (RAG) pipeline integrating DNA reports, lab tests, and quizzes, deployed on AWS Lambda, with cost monitoring implemented using PostgreSQL. ● Designed an OCR system for lab tests utilizing OpenAI's API, standardizing biomarker names with pgvector in VectorDB for efficient data retrieval and analysis. ● Configured robust infrastructure using AWS SAM CLI and optimized AWS Lambda settings for seamless deployment and scalability. ● Designed and managed a Virtual Assistant system with multiple intelligent pipelines, including memory saving, conversation history, contextual soft-selling (sponsorship), product upselling, and integrated performance monitoring using Langfuse for evaluation and metric tracking. ● Built an AI Agent to support automation in Team Lab's research operations, focusing on RSID (Reference SNP cluster ID) identification across multiple domain-specific topics, streamlining data extraction and research workflows. ● Developed a grounding-based search pipeline for pharmacogenomic drug discovery, enabling Team Lab to accelerate research initiatives through intelligent knowledge retrieval and domain alignment.

● Monitor projects such as driving monitoring system, palm oil ripeness detection, cartoon or not, blur or bokeh and provide feedback to members.

● Engineered a robust OCR (Optical Character Recognition) system for KTP (Kartu Tanda Penduduk) utilizing YOLO for text detection and deep learning with CTC loss for accurate text recognition. ● Designed and implemented a user-friendly chatbot to enhance customer interaction and streamline communication processes. ● Architected and implemented a scalable queue management system using RabbitMQ, optimizing workflow efficiency based on the established models. ● Developed and integrated RAG using gpt-4o-mini to efficiently process and analyze company documents such as PKB (Collective Labor Agreement) and PP (Company Regulations).