Arga Bona Simarmata

Arga Bona Simarmata

  • Universitas Pancasila
Profil Lengkap

About Me

Final-year Informatics student building toward AI engineer roles, drawn to how machine learning turns large amounts of messy data into fast, consistent decisions.

Pendidikan

Universitas Pancasila

Pengalaman

PT Telkom Indonesia (Persero) Tbk

On-site AI Engineer placement at PT Telkom Indonesia (Persero) Tbk in Jakarta (December 2026 – February 2027), applying my machine learning and deep learning experience to product area.

Asah led by Dicoding Supported by GoTo

I am participating in Asah led by Dicoding, an intensive learning program, on the Data Science Specialist path. So far I have completed 9 core courses covering programming basics, programming logic, Git and GitHub, data science fundamentals, data visualization, SQL, Python, data analysis, and machine learning for beginners. Next, I will study data analysis fundamentals and mathematics for data science.

Kementerian Hak Asasi Manusia Republik Indonesia

I developed a retrieval-augmented generation (RAG) prototype that lets users ask questions about human rights statistics and official regulations through two separate chatbots, built with Python, PostgreSQL/pgvector, and a self-hosted LLM served through Ollama. I built the data pipeline that extracts text from regulation PDFs, splits it into chunks, embeds it with BGE-M3, and syncs it into a vector database, along with the retrieval logic that restricts answers to retrieved content and flags when data is unavailable. I also automated the generation of summaries and key insights for each statistics category.

Coding Camp 2026 powered by DBS Foundation

Completed an intensive, project-based AI Engineer program (934+ hours) by Dicoding and DBS Foundation, graduating as a Distinction Graduate (top 10% of the path). Built machine learning models (classification, regression, clustering) in Python and deep learning models (NLP, computer vision, time series, recommendation systems) in TensorFlow and Keras, earning an official Dicoding certification for every course completed. Closed the program by leading a six-person capstone team to deliver a deployed sentiment analysis system, alongside sessions on soft skills, English, and financial literacy with industry experts.

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