Projects & Experiments

Building reliable AI that works in the real world.

Robotics & ControlVision & AudioReinforcement Learning

A curated slice of research, prototypes, and playful experiments I have built across robotics, machine learning, and human-centric AI. Each project pairs rigorous engineering with an obsession for smooth, resilient user experiences.

Selected Work

Applied AI across hardware, research, and product

From industrial robots to conversational agents, these builds explore how ML models perform once they leave the lab and meet physical constraints, noisy sensors, and real users.

3D VisionRoboticsMedical

Improvements in throat swabbing key-points detection

Enhanced 3D point-cloud perception for oral cavity swabbing with a modified PointNet pipeline co-developed with Lifeline Robotics and the University of Southern Denmark.

Details

Reinforcement LearningSimulationNavigation

Visual Navigation using Deep Reinforcement Learning

A3C-based visual navigation for home robotics, training embodied agents on photorealistic AI2-THOR environments to generalize across diverse layouts.

Code

ControlGMM/GMRRobotics

Adaptable Impedance Learning for UR5 Robotic Manipulator

Learning-from-demonstration system combining GMM + GMR for force-based variable impedance, enabling safer, adaptive UR5 manipulation.

Code Details

Time SeriesAquacultureLSTM

LSTM Time Series Prediction for RAS Systems

Forecasting total salmon biomass in recirculating aquaculture systems using LSTM networks and production telemetry for Billund Aquaculture.

Code

Reinforcement LearningGamesDQN

AI Learns to Play LUDO

Deep Q-Learning agent that masters the LUDO board game, reaching a 92% win rate against stochastic opponents after curriculum-style training.

Code

AudioCNNBiometrics

Speaker Recognition using Deep Learning

Compact CNN architecture for speaker identification from five-second podcast snippets, optimized for low-data, low-latency scenarios.

Code

NeuroevolutionGamesExperiment

AI Learns to Play Flappy Bird

An early experiment with the NEAT algorithm, evolving controllers that consistently clear Flappy Bird obstacles without handcrafted heuristics.

Code

Beyond the code editor

Community, competitions, and mentorship keep me grounded in the people who use the things I build. A few highlights:

Future Talent Denmark

Six-month bridge program connecting Danish firms with international talent and accelerating integration into the Danish tech ecosystem.

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1st Place SDU Hackathon 2021 sponsored by Danfoss

Led the winning concept for a sustainable free-range farm egg harvester, earning top honors and a 15,000 DKK prize.

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SDU - International Buddy

Volunteer support for new international students adapting to life in Denmark, guiding their academic and cultural onboarding.

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