Alvin Rachmat

Artefact Consulting Singapore Pte Ltd

• Handling AI RAG and Evaluation Systems for a Top-Tier Indonesian Commercial Bank (BUKU IV)
• Develop AI and collaborate with stakeholders and engineers within client and consultant team
• Responsible for RAG systems and LLM evaluation for a leading Indonesian BUKU IV bank
• Collaborate with regional and multicountry consulting teams across data science and business functions to deliver values to client

Foru AI / Untukmu.ai

• Developed AI chatbots with LLMs, including fine-tuning BERT and LLaMA for domain-specific tasks
• Created and deployed an AI Testing Framework in Streamlit to validate chatbot responses efficiently
• Engineered hybrid semantic search using ElasticSearch, Milvus, and ChromaDB
• Optimized cloud operations on GCP with CI/CD pipelines, serverless deployments, & concurrency improvements
• Explored agentic LLM frameworks (Autogen, Eliza) to automate code execution & blockchain-social integrations
• Led the AI team: managed daily operations, mentored juniors, & handled model/API migrations across OpenAI, Gemini, HuggingFace

EventCHI (Dutch-based event-tech startup)

• Designed and discussed chatbot architecture with team members
• Developed chatbots using agentic frameworks such as LangGraph, Autogen, & crewAI
• Deployed AI components on Google Cloud (Cloud Run, Kubernetes Engine, Cloud Storage CDN) & Microsoft Azure (OpenAI models)
• Implemented APIs with both HTTP & WebSocket architectures, enable real-time chatbot communication
• Built CI/CD pipelines for AI chatbot product deployment & created simple HTML-CSS-JS demo frontend
• Integrated flux-based image generation, background removal with Rembg/PIL, Redis caching, & asynchronous multi-image load-save (90% faster upload)

Sinar Mitra Sepadan Finance (ORIX Japan & Sinarmas)

• Developed and presented credit scoring models to Japanese and Indonesian BODs monthly
• Built predictive collection models to identify high-risk customers, improving repayment forecasting
• Automated dashboards with Streamlit, Voila, and Metabase to track KPIs such as sales efficiency
• Implemented DataRobot-based ML pipelines with third-party vendors for automated model deployment
• Deployed scalable APIs for scoring using FastAPI and Docker frameworks
• Maintained SQL and Postgres databases for data pipelines, ensuring reliability and accuracy

Smart City & Community Innovation Center ITB

• Built a churn prediction model for Jasa Raharja using 6.5M+ records under CRISP-DM methodology to predict insurance arrears and payment delays
• Collaborated on IoT anomaly detection and forecasting research using GRU autoencoders for smart-farming sensors