AI Engineer & problem solver dedicated to building production-grade AI systems, robust backend automation, and high-performance edge architectures.
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This notebook serves as an interactive telemetry log backtracing my engineering journey. Run the code blocks below to verify runtime parameters and unpack infrastructure milestones.
# Load and parse the infrastructure timeline chronicles
from portfolio import Glenferdinza
chronicle = Glenferdinza.load_journey()
chronicle.display_milestones() # Load and run word cloud sentiment generation from corpus dataset
from sentiment_analysis.sentiment_model import run_sentiment_pipeline
run_sentiment_pipeline()
Served as a Data Team Member (Tim Data) building automated data pipelines in Python to scrape financial reports; managed text preprocessing on large datasets for NLP sentiment scoring.
Programmed ESP32 C++ firmware for long-range communication nodes; ran physical validation testing and analyzed bit error rate analytics to measure signal stability.
Served as the Data Pipeline Coordinator bridging UNY Student Affairs (Dosen/Kemahasiswaan) to the technical student data team. Managed data cleaning, formatting, and automated uploading of over 14,000 UNY student achievement records into the official Simkatmawa system via the Simkatmawa API.
Interactive Sandbox: Grab and drag nodes to explore.