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Case Studies.
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Real World Impact

Edge-Based Biometric Access Control
Computer Vision & IoT
ESA Automation

Edge-Based Biometric Access Control

Engineered a high-performance, offline-capable face recognition system with liveness detection for edge devices. Integrated and optimized state-of-the-art lightweight models (SCRFD, GhostFaceNet) using ONNX Runtime for CPU inference, achieving millisecond-level precision. Developed a database-agnostic MVP with a FastAPI backend, FAISS vector search, and WebSocket-based real-time feedback, ensuring secure, low-latency authentication without cloud dependency.

Computer VisionEdge AIONNX RuntimeFastAPIFAISS
ConnectivityOffline Capable
LatencyMillisecond Latency
SecurityAnti-Spoofing
Adaptive AI Language Tutor
Generative AI & Education
Mila AI

Adaptive AI Language Tutor

Built an intelligent conversational agent that adapts to user proficiency levels, providing real-time feedback on grammar and pronunciation for immersive language learning.

Generative AINLPReact NativeSpeech-to-Text
Availability24/7 Availability
FeedbackReal-time Feedback
LearningAdaptive Learning
Endangered Species Recognition
Computer Vision & Conservation
Conservation Research

Endangered Species Recognition

Developed a computer vision system to automatically identify and track individual puffins for conservation research, replacing manual tagging methods.

Computer VisionConservation AIObject TrackingPyTorch
Accuracy95% ID Accuracy
MethodNon-Invasive
ProcessAutomated Tracking
Airline Price Optimization
Predictive Analytics
Leading Global Airline

Airline Price Optimization

Implemented dynamic pricing algorithms for a Leading Global Airline to optimize cargo revenue based on demand forecasting and competitor analysis.

Predictive AnalyticsRevenue ManagementBig DataMachine Learning
Revenue+2.7% Price Increase
Impact>€10m Value
Speed<1s Response Time
Linen Demand Forecasting
Supply Chain Optimization
Major Hospitality Group

Linen Demand Forecasting

Created a predictive model for a Major Hospitality Group to forecast linen usage across hotel chains, optimizing inventory management and reducing operational costs.

Time Series ForecastingSupply ChainInventory OptimizationData Science
SavingsCost Reduction
EfficiencyInventory Optimized
SustainabilityWaste Reduction

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