Open to opportunities

Hanes Pratama

@hanespratama

Message

I am an AI engineer specializing in LLMs and multi-agent systems.

Indonesia

Message

What I'm looking for

I seek a dynamic, collaborative environment to apply LLM fine-tuning, multi-agent systems, and multimodal AI, with opportunities to deploy production-grade models and drive measurable impact.

I am an AI Engineer at PT eBdesk Teknology specializing in LLM engineering, fine-tuning, autonomous agents, and multimodal AI systems. I focus on optimizing models like Qwen with parameter-efficient techniques such as LoRA and distributed training using DeepSpeed and Axolotl.

I build document-extraction pipelines using YOLO with annotation and model training, and create multi-agent data acquisition flows via web crawling and social media scraping. I integrate vector databases (Qdrant, ElasticSearch) with LangChain agents, implement RAG workflows, and leverage knowledge graphs with Memgraph to surface insights.

I develop multimodal capabilities including TTS, text-to-image, and video-mimic generators, and I work with Transformers (Huggingface), PyTorch, TensorFlow, FastAPI, Docker, and Kafka for production deployment. I hold a Bachelor of Informatics (GPA 3.88) and am eager to apply my AI and data-analysis skills to drive innovative, impactful solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

PT eBdesk Teknologi

Aug 2023 - Present (2 years 10 months)

Joined the AI R&D team to develop LLMs, multi-agent systems, and multimodal models; built document extraction pipelines and RAG workflows to improve information retrieval. Fine-tuned and optimized SLMs using parameter-efficient and distributed training techniques for production deployment.

LLM LlamaIndex DeepSpeed Qdrant Elasticsearch PyTorch YOLO