Ingwer Ludwig Email & Phone Number

GDP Labs Artificial Intelligence Research Team (GLAIR)- Create project pipeline with Multimodal LLM support- Doing exploration of Vision LLM and Vision RAG- Contribute for finding bug in SDK

Taipei City, Taiwan

Working at Center of IoT Innovation (CITI) Lab under Prof. Shuo-Yan Chou and Dr. Anindhita Dewabharata guidance to create Human Activity Recognition for Semiconductor industry Cleaning Procedure leveraging Deep Learning using PyTorch Framework. Core activities using Python and PyTorch Framework are :• Create Dataset using COCO-Annotator• Create Pipeline Augmentation training and Pipeline for live Inference• Create 3 Deep Learning Model (Human detection, Activity Recognition, Human Pose Estimation) as pipeline for Activity Recognition and create 2 Deep Learning Model (Roller Detection and Checkpoint Detection) as pipeline for Completion Recognition using OpenMMLab Toolbox• Presented the Research result on the International Symposium Intelligent Biomedical System 2024 Summer Tohoku University resulted overall 0.99 accuracy of Action Detection and 0.87 accuracy of Completion Detection on Trimmed Video and overall 0.98 accuracy of Action Detection and 0.82 accuracy of Completion Detection on live inference

Core activities using Python :- Working with 5 million row BPJS data and doing research about HealthCare Price Service - Create Ensemble Machine Learning regression- Create dashboard visualization with Tableau- Create model for medical bill prediction with 565.000+ case in Jawa Timur region that have 55 features with MAPE only 0,02

Courses taught consist of :- Object Oriented Programming- Database Management System- Computer Network- Web Programming- Artificial Intelligence

Deployed web : https://sih3.dpuair.jatimprov.go.id/ffwsview/Core activities in Dinas Sumber Daya Air Jawa Timur Flood Forecasting Warning System using Artificial Intelligence created using Python and Tensorflow are :- Create Deep Learning RNN and CNN based model (LSTM, GRU, and TCN architecture) against time series data to forecasting height of water surface with real time data from Automatic Water Level Recorder (AWLR) and Automatic Rain Recorder (ARR) (best model MAPE 5%)- Create Python Flask API- Create API Documentation and Manual Book- Work on Backend to send WhatsApp Alert Notification and collect predicted and actual data to web dashboard using Laravel and React.js- Hyperparameter tuning Deep Learning model using Keras Tuner- Manage project’s agile sprint with Jira- Aggregate data using Python- Cleaning missing data with interpolation- Handling non stationary data with Moving Average technique- Analyze data using statistical approach ADF and KPSS to check data stationarity- Determine the most optimal timelag using statistical approach ACF and PACF - Deploying Back-End and Front-End to Server using CPanel and Python Flask to whm with docker

Deployed Web : https://license.its.ac.idCore activities using HTML, CSS, Javascript, Bootstrap 5 and jQuery in License Management :- Designing UI with Bootstrap Studio- Implements all design and responsiveness- Redesign obselete UI

Core activities using Laravel Framework :- Making cron for expiring ticket, services, etc- Implementing clean architecture and Domain Driven Design pattern- Creating ticketing, user & admin services- Designing Database Models- Helping and controlling staff’s sprint

Core activities using Express.js Framework :- Designing database structure- Managing database (seed, model, flow) with Sequelize ORM- Mostly work on MongoDB query- Creating small API for FrontEnd

Bachelor'S Degree, Computer Science, 3.60

Cumlaude

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