Resume

1. Core Developer

   · sktime

   Sept 2025 — Present · Remote

   • Added forecasters and transformers to sktime, among them the Hurst Exponent transformer, an RBF neural network forecaster and MAPA.
   • Reworked pytorch-forecasting for v2. Added xLSTMTime and moved dataset handling onto a LightningDataModule.

2. Open Source ML Intern

   · ecoSPECS / GCOS.ai

   May 2026 — Jul 2026 · Ulm, Germany

   • Core maintainer and release manager for pytorch-forecasting, finishing the v2 rework.
   • Integrated foundation models into the pytorch-forecasting ecosystem.
   • Mentored new contributors through GSoC and ESoC.

3. AI/ML Intern

   · Across The Globe

   Jun 2024 — Oct 2024 · Remote

   • Built conversational AI pipelines on LangGraph and cut response latency by more than 15% across internal prototypes.
   • Shipped two AI prototypes with the team.
   • Integrated SadTalker for speech-driven avatars, reaching 90% lip-sync accuracy.

Previously

1. Forecasting Workshop with sktime ↗

   · WeAreDevelopers World Congress

   Jul 2026 · Berlin, Germany

   • One of four speakers on the official programme for this 120-minute hands-on workshop, alongside the sktime project lead.
   • Revised the workshop notebooks for the current sktime interface and rewrote the deep learning and foundation model material.

Languages

PythonCC++JavaBash

ML / DL

PyTorchLightningHugging FaceTensorFlowKerasscikit-learnLangGraph

Domains

Time-Series ForecastingTransformersLSTM / RNNAttentionComputer Vision

Tools

GitDockerLinuxCI/CDpandasNumPy