I have 7 years experience designing and developing embedded and software products using machine learning algorithms and for this matter, I get involved in the entire end-to-end product cycle, starting from the analysis of companies' requirements to developing proofs of concept (POC) and minimum viable products (MVP). Additionally, I have experience maintaining and implementing continuous improvement of ML models and productizing ML architectures on the cloud (GCP and AWS).

I am goal-oriented, business-focused, and deeply committed to learning and solving business problems through the development of solutions in the field of AI, and nowadays, my main interest is to look for ways to develop solutions in the area of natural language processing (NLP), generative AI, text mining, data visualization, customer analysis, and deep learning.

• NLP solutions, text/token classification, summarization, data generation, question/answering, topic extraction, semantic search, from classical techniques to transformer.
• LLM-based solutions RAG and Agentic chatbots using vertex AI, Amazon bedrock and LangChain
• Tabular ML problems for churn classification, customer segmentation and scoring.
• ML Ops experience to build pipelines, serve, monitor and re-train models: On-premise (Linux ) and Cloud-based experience (GCP/AWS)

I have experience as a volunteer in my current company teaching Scratch and Lego to kids. I'm interested in life science problems, mitigation of social inequality, and helping vulnerable people to improve.