AI and Software Engineer
I am an AI Engineer at Heroiks, where I work on enterprise retrieval pipelines, agentic workflows, and internal AI assistants. My work spans document ingestion, retrieval quality, APIs, cloud deployment, observability, and cost monitoring.
I hold an engineering degree from ESILV, with a major in Data and Artificial Intelligence.
My interests extend beyond generative AI. I use public projects to explore ML infrastructure, backend and distributed systems, industrial software, edge AI, and systems programming. I prefer building small, testable systems and documenting what actually works, including their limits.
| Project | What it demonstrates | Technologies |
|---|---|---|
| Synapse | Turns documents into a Neo4j knowledge graph and supports hybrid, graph expanded retrieval through a local demo. | Python, FastAPI, Next.js, Neo4j, Docker |
| Industrie 4.0 Predictive Maintenance Hub | A prototype pipeline from a simulated CNC machine to real time processing and time series storage. | Python, Java, OPC UA, Kafka, Flink, InfluxDB |
| GoDock | A keyboard driven terminal interface for viewing and controlling local Docker containers. | Go, Bubble Tea, Docker API |
| NanoPredict | An experimental workflow that trains a small model in Python and runs inference in a lightweight C++17 engine. | C++17, Python, scikit learn |
| AI Chaos Monkey | A local AIOps demo that enriches Prometheus alerts while controlled failures exercise the monitoring path. | Kubernetes, Prometheus, Grafana, FastAPI |
- AI Engineer, Heroiks: enterprise RAG, AI agents, workflow automation, GCP deployment, retrieval quality, and observability.
- AI Engineer Intern, Astek: hybrid CV and job matching, open source LLM evaluation, ontologies, Neo4j, and GraphRAG.
- Data Scientist, Crédit Mutuel AM via ESILV: credit risk data pipelines and predictive modeling with temporal evaluation.
- Mobile Developer, Qovoltis: Flutter application for EV charging station installers, covering operational workflows from pairing to firmware updates.
Current and recent roles: Python, FastAPI, Docker, GCP, Vertex AI, PostgreSQL, pgvector, LlamaIndex, LangGraph, Neo4j, XGBoost, and Flutter.
Public project work: Go, C++17, Java, Next.js, Kubernetes, Kafka, Flink, Prometheus, Grafana, OPC UA, and InfluxDB.
I want to grow at the intersection of AI systems, software engineering, and industrial technology. That means learning through implementation: reading research, building reproducible experiments, testing infrastructure, and publishing evidence instead of relying on claims.
I am also learning German as part of my longer term goal of working in a European industrial and engineering environment.