Jacob Ungar Felding

LinkedIn: jacob-ungar-felding
GitHub: jfelding
Email: jfelding@gmail.com

Education 🎓

• MSc in Computational Physics, Niels Bohr Institute, Copenhagen (2019–2021)
  GPA: 11.7/12.0
  High-performance computing, C++, large-scale data analysis, ML fundamentals, fluid dynamics, scientific computing, optimization, image processing.
• BSc in Physics, Niels Bohr Institute, Copenhagen (2015–2018)
  GPA: 10.6/12.0
  Theoretical & experimental physics, applied statistics & ML coursework.
  BA project: Detection using hyperspectral imaging & CNNs

Master’s Thesis 📜

• The Scalable Spatial Echo State Network for Detection of Anomalous Ocean Surface Topography
  Supervisor: James Avery (avery@nbi.dk)
  Description: Developed a linearly-scalable echo-state RNN for high-dimensional spatio-temporal forecasting without knowing the governing PDEs. Built an adaptive anomaly detector for ocean transitions, training on years of simulation data in minutes with one-shot (no gradient) updates.
  Grade: 12 / A
  Read the thesis

Experience 💼

ML Engineer, PUFIN-ID — Copenhagen (09/2024–Present)

• Metric learning, embedding & classification models
• Object detection; synthetic data (diffusion) pipelines
• Vector search & anti-spoofing; continuous model training, deployment & validation
• End-to-end production integration; internal tooling & customer-facing web apps (SPA)

Data Scientist / Software Engineer, ATP — Hillerød (04/2023–09/2024)

• Computer vision for fraud detection & document processing
• Offline signature verification; handwriting segmentation & extraction
• ML Deployment & MLOps; SQL data engineering; full-stack software development (Python, JS)

Computer Vision Software Engineer, Videometer — Herlev (01/2022–03/2023)

• Designed & optimized image-processing algorithms for multispectral imaging (e.g. pixel-level classification)
• Parallelized workflows; interfaced with hardware triggers
• UI development & DevOps improvements; customer support & training
• Technologies: C#, .NET, Python

Supporter (Bank Teller), Danske Bank — Copenhagen Airport (2018–2020)

• Managed transactions & customer inquiries

Teaching Assistant, Programming for Physicists, Uni. of Copenhagen (2017)

• Tutored first-year physics students in Python & computational methods

Office Assistant, Faculty of Law, University of Copenhagen (2014–2015)

• Administrative support: scheduling, document prep, student liaison

Selected Student Projects 🎯

• A New ML Method for High-Dimensional Systems
  Enhanced Echo State Networks for million-variable spatio-temporal data (remote sensing, anomaly detection). Achieved near-linear training time with one-shot updates.
• A Tunable Loss Function for Image / Video Data
  Extended IMED (Image Euclidean Distance) to FFT/DCT versions for RGB, hyperspectral & MRI; added robust regression support.
• Detecting Frost-Damaged Sugar Beets
  Hyperspectral line-scan pipeline + CNN classification in collaboration with Nordzucker/NEWTEC.
• Oral Cavity Cancer Recognition
  Preprocessing (morphology, Fourier), windowed labeling & ML pipeline for dental imaging (KU/SDU).
• Time Series Analysis for Airlabs
  (S)ARIMA forecasting of air-quality measurements in Copenhagen; sensor calibration & real-world deployment.

Technical Skills 💻

• Languages: Python, C#, C++, TypeScript, JavaScript, MATLAB
• Frameworks & Tools: TensorFlow, PyTorch, OpenCV, Docker, Azure DevOps, Jamstack, Cloudflare Workers, MinIO
• Data & MLOps: SQL, pandas, NumPy, CI/CD, model deployment
• Version Control: Git, SVN
• Platforms: Linux, Mac, Windows (if I must)

Languages 🌐

• Danish: Native
• English: Academic (TOEFL 112/120)
• German: Basic

Main Professional Interests 🔍

• Computer Vision & Algorithm Engineering
• Machine Learning & Data Analysis
• High-Performance Computing & Production Software Development
• Emerging Technologies

Hobby Interests 🕊

• Hydroponics: Soil-less gardening & controlled cultivation
• Music: Choir singing & piano
• Cooking & Baking: Gadget-driven recipe optimization
• Repairs & Maker Culture: Bike & electronics repair; 3D-printed replacement parts; Repair Café volunteer

Miscellaneous 🏆

• Den Georgbruunske Pris (2022): DKK 100,000 award for uncovering overbilling at Charlottenlund Lægehus
• National History Competition Winner (2012): And Körber-Stiftuing EUSTORY allum