08.10.2026 aktualisiert
100 % verfügbar
Senior Data & AI Consultant
Chavannes-pres-Renens, Schweiz
Weltweit
Master of Science in Data Science, EPFLÜber mich
Data & AI consultant specialised in production-grade RAG systems and AI agents. Hands-on across the full GenAI lifecycle in a regulated fintech environment, from document ingestion and retrieval optimisation to faithfulness evaluation, and hallucination detection. MSc in Data Science, EPFL.
Skills
OpenAIComputer VisionBusiness Intelligence DevelopmentBig DataData IntelligencePythonMachine LearningMicrosoft Power BITensorFlowSQLBusiness Intelligence Development StudioPyTorchApache SparkDeep LearningGenerative AI
Retrieval-Augmented Generation (RAG) & AI Agents
Expertise in designing and engineering production-grade RAG systems, multimodal RAG pipelines, and AI agents, including internal SDKs, ingestion pipelines, retrieval optimisation and agent evaluation in regulated fintech environments.
RAG Evaluation & Benchmarking
Proficiency in designing and industrialising RAG evaluation and benchmarking frameworks on human-verified reference data, comparing retrieval methods, ingestion strategies, merging algorithms and Qdrant configurations against recall, precision and latency.
Machine Learning & Forecasting
Strong foundation in applied machine learning across forecasting, optimisation and computer vision, including the development of per-flight passenger forecasting models reaching approximately 80% accuracy using Python and time-series techniques.
Faithfulness & Hallucination Detection
Hands-on experience in faithfulness evaluation, hallucination detection and citation validation within production AI agent pipelines.
Vector Search & Document Ingestion
Practical knowledge of Qdrant, vector search, and document ingestion tools including Docling and MS Document Intelligence.
Deep Learning Frameworks
Working knowledge of PyTorch, TensorFlow, Keras and OpenAI APIs for building and deploying machine learning models.
Programming Languages
Proficiency in Python, SQL, Scala and Java for data engineering, analytics and AI development tasks.
Cloud & Big Data Platforms
Experience with Azure, AWS, Snowflake, Hadoop and Spark for scalable data processing, as well as Power BI for business intelligence and reporting.
Computer Vision & Anomaly Detection
Applied experience in computer vision and anomaly detection as part of a broad machine learning skill set.
Expertise in designing and engineering production-grade RAG systems, multimodal RAG pipelines, and AI agents, including internal SDKs, ingestion pipelines, retrieval optimisation and agent evaluation in regulated fintech environments.
RAG Evaluation & Benchmarking
Proficiency in designing and industrialising RAG evaluation and benchmarking frameworks on human-verified reference data, comparing retrieval methods, ingestion strategies, merging algorithms and Qdrant configurations against recall, precision and latency.
Machine Learning & Forecasting
Strong foundation in applied machine learning across forecasting, optimisation and computer vision, including the development of per-flight passenger forecasting models reaching approximately 80% accuracy using Python and time-series techniques.
Faithfulness & Hallucination Detection
Hands-on experience in faithfulness evaluation, hallucination detection and citation validation within production AI agent pipelines.
Vector Search & Document Ingestion
Practical knowledge of Qdrant, vector search, and document ingestion tools including Docling and MS Document Intelligence.
Deep Learning Frameworks
Working knowledge of PyTorch, TensorFlow, Keras and OpenAI APIs for building and deploying machine learning models.
Programming Languages
Proficiency in Python, SQL, Scala and Java for data engineering, analytics and AI development tasks.
Cloud & Big Data Platforms
Experience with Azure, AWS, Snowflake, Hadoop and Spark for scalable data processing, as well as Power BI for business intelligence and reporting.
Computer Vision & Anomaly Detection
Applied experience in computer vision and anomaly detection as part of a broad machine learning skill set.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2024
Sprachen
ArabischMutterspracheEnglischverhandlungssicherFranzösischverhandlungssicher
Projekthistorie
Designed and industrialised a RAG evaluation and benchmarking framework on human-verified reference data, measuring retrieval methods, ingestion strategies, merging algorithms and Qdrant configurations on recall, precision and latency. Built and deployed a document-translation agent that extracts, translates using LLMs and reconstructs complex documents while preserving structure and layout. Owned agent evaluation across the platform including correctness, faithfulness, hallucination detection and citation/reference validation. Tech: Python, LLMs, RAG, Qdrant, Docling, Microsoft Document Intelligence, PyMuPDF, python-docx/pptx, internal SDKs.
Working as Senior Data & AI Consultant at Philico SA in Lausanne.
Designed and deployed a per-flight passenger forecasting model reaching approximately 80% accuracy across short- and long-term horizons, supporting operational and staff planning. Tech: Python, time-series forecasting, ML.
Zertifikate
Snowflake SnowPro Core (COF-C03)
Snowflake2026
Azure Data Fundamentals (DP-900)
Microsoft Azure2025