AI Engineer
Sigma Solusi Indonesia
- Built internal AI assistants (WhatsApp and web-based) with custom data pipelines that let non-technical teams query sales, inventory, and procurement data in plain language across multiple darkstores, eliminating manual SQL reporting.
- Developed a production demand-forecasting system covering 600+ products that predicts daily sales and revenue and retrains itself automatically each week. Cut chronic under-forecasting by more than half through A/B-tested bias correction with no loss in accuracy, reducing stockouts during peak-demand periods. Built on tiered NHITS and LightGBM models with probabilistic output.
- Designed exploratory LLM systems including Retrieval-Augmented Generation (RAG) pipelines with semantic retrieval, and fine-tuned domain-specific language models using synthetic instruction generation and knowledge distillation.