Augmenta
A privacy layer for LLM workflows with PII detection, anonymization, and service-oriented integration — built around privacy tooling, API design, and infrastructure-oriented applied AI.
PrivacyLLMPythonFastAPIDockerApplied AI
Electronic Engineer · ML · Applied AI
Lucas Burdman
Building Intelligent Systems
Electronic Engineer working across machine learning, applied AI, data workflows, and intelligent systems — with a production-minded approach to implementation.
Technical Focus
Areas of depth and active exploration.
Machine Learning
Applied AI
Forecasting
Privacy for LLM Systems
Quantum ML
Backend & Intelligent Systems
Selected Projects
A focused set of technical projects across ML, applied AI, and systems engineering.
Energy Demand Forecasting
A 24-hour ahead electricity demand forecasting pipeline with feature engineering, rolling-origin validation, tree-based models, and uncertainty estimation — focused on reproducible ML evaluation.
Machine LearningTime SeriesPythonScikit-learnForecastingXGBoost
Hybrid Classical–Quantum Neural Networks for Audio Emotion Classification
An end-to-end speech emotion recognition pipeline on CREMA-D using mel-spectrograms, transfer learning, and hybrid quantum/classical heads — focused on controlled experimentation under realistic resource constraints.
Quantum MLPyTorchPennyLaneSpeech ProcessingDeep LearningCREMA-D
Support Ticket Classifier
An AI-assisted support ticket classifier with validated structured outputs, deterministic fallbacks, and a lightweight local UI — focused on maintainable backend design and practical handling of model outputs.
AINLPPythonPydanticAnthropicClassification
Leadership & Teaching
Academic engagement, technical communication, and community building.
Lead Organizer 2023 – Present 500+ attendees
Qiskit Fall Fest FIUBA
Led end-to-end delivery of an IBM-supported annual quantum computing event — 30+ talks, hybrid sessions, a closing hackathon, and 500+ attendees. Responsible for program design, speaker coordination, logistics, and community engagement.
Teaching Assistant 2022 – Present FIUBA
Digital Systems — FIUBA
Teaching assistant for Digital Systems at the School of Engineering of the University of Buenos Aires. Supporting practical labs, student guidance, and assessment.
Teaching Assistant 2023 – Present FIUBA
Quantum Computation and Communications — FIUBA
Teaching assistant for Quantum Computation and Communications. Covering quantum circuit fundamentals, quantum information theory, and their relationship to modern cryptographic and communication systems.
Notes & Writing
Engineering notes, case studies, and technical reflections.
Coming soon
Coming soonI'm building out this section. Expect observations on ML systems, applied AI, and engineering trade-offs.
About
I'm an Electronic Engineer with a strong foundation in mathematics, physics, and computational thinking, building practical experience across machine learning, AI-backed applications, data workflows, and software systems. My work combines experimentation, technical rigor, and a production-minded approach to implementation.
Currently exploring
- LLM systems in production
- Quantum ML at realistic hardware constraints
- Time series forecasting pipelines
- Privacy-preserving AI architectures
Photo coming soon
Electronic EngineerFIUBABuenos Aires