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Michael Arthara Immanuel

Artificial Intelligence undergraduate and laboratory assistant

Summary

Artificial Intelligence undergraduate at Binus University, third semester, working there as a laboratory assistant. I teach practicum classes and write the cases students solve, and I have built systems end to end: Go microservices with a RAG tutor, a self-healing Kubernetes cluster, and the data and machine learning work from my coursework.

Experience

Laboratory Assistant · Binus University Software Laboratory

Feb 2026 – Present
  • Instructed and mentored a cohort of 100+ students across 15+ advanced computer science courses, covering Artificial Intelligence (CV, NLP), Data Engineering and Cloud Infrastructure.
  • Designed practical case studies, hands-on laboratory assignments and curriculum materials that simulate real-world software engineering and data analytics problems.
  • Evaluated technical performance and reviewed student code, giving actionable feedback on programming foundations.
  • Built five systems in TPA 26-1, the assistants' self-development program, across web, desktop, game and network projects.

Projects

ESdemy, online course platform

Go, gRPC, Python, PostgreSQL, Redis, Temporal, Docker
  • Built Go microservices in Clean Architecture communicating over gRPC behind NGINX, with per-route rate limiting and selective caching.
  • Implemented a RAG-powered AI tutor in Python that embeds course documents into a vector database so answers come from the material.
  • Streamed video as adaptive HLS in three qualities using two FFmpeg workers orchestrated by Temporal, restricted to paying students.

ComMX, high-availability Kubernetes deployment (team)

Kubernetes, Terraform, Ansible, ArgoCD, Proxmox
  • Deployed a real-time chat app on a six-node Kubernetes cluster (3 control planes, 3 workers) with Cilium and a keepalived floating IP.
  • Provisioned VMs with Terraform and idempotent Ansible roles, and built a GitOps pipeline with security scanning and ArgoCD sync.

NLP recommendation and text mining engine

Python, NLTK, Word2Vec, TF-IDF, Naïve Bayes
  • Developed text mining applications with NLTK for tokenization, stemming, POS tagging and Named Entity Recognition.
  • Created a movie recommendation system using n-gram language models and word embeddings via TF-IDF, Word2Vec or GloVe.

Predictive data analytics and BI dashboard

Python, Random Forest, Logistic Regression, Power BI, DAX
  • Trained and evaluated a Random Forest model with Mutual Information feature selection, and ran statistical analysis with Logistic Regression.
  • Developed Power BI dashboards with explicit DAX measures to answer specific business questions.

Enterprise data engineering pipeline

Pentaho (PDI), MySQL, Power BI, Apache Airflow
  • Built an ETL workflow extracting 500–1000 transaction records into a MySQL database used as a data source.
  • Engineered a data warehouse with Slowly Changing Dimensions (Type 1 and 2) and Change Data Capture for incremental loading.

Technical skills

Languages
Python, Go, Java, C, C++, C#, JavaScript, TypeScript, SQL, Rust, PHP, Dart, Bash, HTML/CSS
Machine learning and data
PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib, OpenCV, Jupyter, Power BI, Apache Airflow, Cloudera
Infrastructure
Docker, Kubernetes, Terraform, Ansible, gRPC, Microsoft Azure, Ubuntu, Git
Databases
PostgreSQL, MySQL
Frameworks and tools
Flutter, Vue, JADX
Spoken
Indonesian (native) · English (professional)

Education

Bachelor of Science in Computer Science, Artificial Intelligence focus

Expected 2029 · GPA 3.73/4

Bina Nusantara University (Binus), Jakarta

Algorithms and Programming, Linear Algebra, Machine Learning, Artificial Intelligence, Calculus, Data Structures, Basic Statistics, Intelligent Automation, Discrete Mathematics, Program Design Methods