// SINGAPORE · 1.35°N, 103.82°E · --:--:-- UTC+8
From satellites to servers: I trained as an aerospace engineer, cut my teeth on spacecraft telemetry and ML research, and now build AI infrastructure at Dell: hyperconverged cloud platforms, Kubernetes microservices, and LLM agents that ship releases while humans sleep.
Three stages, one continuous burn.
BEng Aerospace Engineering at Nanyang Technological University. Presided over SEDS Singapore, built rockets, a lunar rover, and computer-vision balloons, and learned that the hardest problems in space are actually data problems.
Satellite pass prediction at Transcelestial, plasma-propulsion telemetry at Aliena, rail analytics at Thales, CNN research for robotic prosthetics at RRIS, and LLM classification pipelines at EY. Models that had to work in the real world, not in a notebook.
Building production software across infrastructure, mobile, and applied AI: Python/Go microservices and LLM skill agents at Dell, Beehive's Flutter and Firebase platform for 1000+ users, and SenSync's cloud-hosted ML pipeline for wearable-device data.
Every entry flight-proven. Reverse chronological.
Things I've launched. Some are still in orbit.
Flutter mobile app connecting students and alumni across 11 Singapore universities to discover campus-wide opportunities. Scaled to 1000+ active users; live on Google Play and the App Store with secure auth, push notifications, location features, and real-time chat.
Computer-vision pipeline (ML segmentation + classification) detecting meteorological phenomena from high-altitude balloon data, SEDS Singapore's first AI-aerospace research project.
Multi-class CNN in Keras classifying satellite imagery with custom preprocessing, one-hot encoding, Adam optimization, and categorical cross-entropy for 97% validation accuracy.
VIEW SOURCE →Cross-platform Flutter app predicting sensory overload in individuals with ASD from wearable-device data using a Random Forest classifier on Google Cloud, trained on the WESAD dataset.
VIEW SOURCE →Recommendation system for Airbnb listings using TF-IDF vectors and cosine similarity, with VADER sentiment analysis, demand forecasting, and price prediction via random forest and SVM.
VIEW SOURCE →K-means clustering with PCA on e-commerce data, plus customer-lifetime-value prediction with RFM analysis on scikit-learn.
VIEW SOURCE →The toolkit. Continuously upgraded in flight.
Continued learning across machine learning, data, finance, cloud, and enterprise implementation.
A decade of building, competing, and turning ambitious ideas into working systems.
Neo Aeronautics / ASPIRE Incubator Lab · “Libera” peer-to-peer drone delivery system
Innovation & Creativity in Science/Technology · Amity International School
Atlantis Research
Central Board of Secondary Education
Foundation for Global Science Initiatives
Science Society of India, in collaboration with IBM
International Award for Young People
Science and innovation recognition
What I built as President of SEDS Singapore, leading 120+ members across NTU, NUS & SUTD.
Directed the R&D program behind Singapore's award-winning entry at the world's largest intercollegiate rocketry competition in the New Mexico desert.
Led one of four R&D teams designing and prototyping a modular lunar rover, with mechanical, electrical, and software subsystems built by students, from scratch.
Represented SEDS in national space-policy discussions with OSTIn and A*STAR, and established SEDS-Singapore's first AI-aerospace research program (Eagle Eye).
// ESTABLISHING UPLINK
Whether it's AI infrastructure, satellites, or a wild idea that needs an engineer, my inbox is in a stable orbit.
paluk.gupta@outlook.com