Work experience
• Machine Learning Engineer
Cogniflow AI (Jan 2022 - present)
No-Code AI, Generative AI, NLP, Computer Vision, Speech and Audio Processing, Backend Development, Project Leading and client interaction.
• Machine Learning Developer
UruIT (Jun 2021 - Dec 2021)
– Development of AI and ML systems. Computer Vision, Speech and Audio Processing and NLP and Understanding.
– Strong emphasis on state-of-the-art solutions, robust documentation of projects and delivering value to the client.
• Wireless Support Engineer
Nokia (2014 - 2020)
– Support, Integration and Commissioning for mobile phone networks.
– Scripting (Python, Bash, JS, PHP, MySQL) for automatization of network monitoring and configuration. Zabbix Manager.
• Technical Advisor
Facultad de Ingeniería (2014)
– Advise non-technical researchers in Digital Terrestrial Television regulation and deployment.
• Researcher
Facultad de Ingeniería (2013 - 2014)
– Digital Terrestrial Television signal propagation measurements and coverage modeling.
– Software development for coverage simulation.
• Optimization Engineer
Plan Ceibal (2011 - 2014)
– R&D project assistant, Project Manager, network design and optimization.
Courses & certifications
• Knowledge Graphs for RAG; Functions, Tools and Agents with LangChain; ChatGPT Prompt Engineering for Developers; LangChain for LLM Application Development; How Diffusion Models Work; LangChain: Chat with Your Data
DeepLearningAI (2023 - 2024)
• Object Oriented Programming Bootcamp 2021 - OOP in Python 3
Udemy (2021)
• Introduction to Deep Learning for Computer Vision
Globant - CIE (2020)
• Introduction to Natural Language Processing
Tryolabs (2020)
• IoT: Models, Protocols and Platforms
IEEE (2019)
• Introduction to Scripting in Python Specialization
Coursera (2018)
• Project Management Professional
PMI Uruguay (2017)
• Project Management Professional for IT Companies
PMI Uruguay (2014)
• School on Applications of Open Spectrum and WhiteSpaces Technologies
ICTP - Trieste, Italy (2014)
Education
• MSc. Electrical Engineering (AI)
UDELAR (2022)
Thesis: CorrG-RS: Recommender Systems Based on Graph Neural Networks
• Specialization in Information Systems and IT Business Management
UDELAR (2020)
• Electrical Engineering (Telecom)
UDELAR (2015)
Skills
• AI
Computer Vision, NLP, ML/DL for Graph Data, Recommender Systems, Reinforcement Learning, ML/DL for Speech and Audio, DL for Medical Imaging, Tabular Data, Generative AI, LLMs, RAG.
• Tools & Languages
Python, Git, Jupyter, PyCharm, Bash, PHP, JavaScript, SQL, JSON, Linux, Zabbix, Label-Studio, Slack, Notion, Scrum, PyEnv, AWS (S3, Lambda, Lightsail, Batch), Docker, GitLab, Jira, Raspberry Pi, DBeaver.
• Libraries & Framerworks
PyTorch, Scikit-Learn, OpenCV, PIL, Networkx, Numpy, Pandas, Matplotlib, NLTK, Seaborn, Altair, Implicit, FastAPI, Tensorflow, Keras, SQLAlchemy, DeepFace, Whisper, Wav2Vec2, YOLOv5, XGBoost, PaddleOCR, DocTR, FAISS, LangChain, Streamlit.
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