About Adrian
Experienced AI Engineering Lead with over 20 projects deployed in production environment.
Strong Academic and Industry background, impassioned by Generative AI, Agentic AI and AI first solutions. Acting as a AI team lead and AI solutions architect.
English
Native or bilingual
Romanian
Native or bilingual
French
Native or bilingual
Can work on-site
Bucharest (up to 50km)
Experience
- AI RESEARCH LABORATORYAI Engineering Lead / Solution ArchitectJanuary 2020 - Today (6 years and 7 months)| Developing AI Anti-Fraud Solutions and Big Data Projects | 21 Papers | 2,500+ Citations | h-index 19Romania
- AI RESEARCH LABORATORYAI Engineering Lead / Solution ArchitectMarch 2021 - Today (5 years and 5 months)• • Led solution design and proposal authoring (architecture, delivery roadmap, team composition, cost estimation) — securing multiple AI project wins• • Technical leadership of several Engineering teams on AI projects• • Anti-Fraud Analytics program for a major Global Bank – 3 Big Data projects in production — monitoring and alerting – 2 ML systems in production:• · Alert risk-scoring with model ensemble (XGBoost, RF, ANN) + SHAP explainability• · Entity fuzzy-matching at scale (10M × 100k) – 3 AI Bots:• · Policy Bot (Gemini + custom RAG)• · Code Assistant (Gemini agent) — internal usage• · Agentic Helper (GCP Conversational Agent + BigQuery + ADK) - language analytics– Migrated 2 ML projects to GCP (Airflow, BigTable, Composer, Vertex AI) – 2 NLP classification projects (NLTK, BERT) — transaction & email classification• • Several LLM projects: – 6 RAG – Automatic Exam – Multi-agent framework code migration +) – agent —• • Dental accuracy production• • Contribution to the OpenLLM-Ro open-source initiative - Fine-tuned and 4-bit quantized RoLlama 2 & 3 (Romanian• • AI for Industrial Process Optimization and Anomaly Detection / Prediction• • Time — retail forecasting• • Quantization of VGG16 on Neural Processing SOC (US client)• • Advising in a project for Best Assortment retail• • Founded the Data Science Team and Chapter in AF (AI Center of Competence)• • 2 Scientific Papers
- AI InsightsChief Data Scientist & FounderDecember 2019 - Today (6 years and 8 months)Product for market prediction, customer churn, next best action, assortment optimization, customer targeting
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Education
- Predicting Customer Churn in Python Neural Networks and Deep Learning Structuring Machine Learning Projects Improving Deep Neural Networks: Hyperparameter tuning, Regularization and OptimizationPredicting Customer Churn in Python Neural Networks and Deep Learning Structuring Machine Learning Projects Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- BS and MSÉcole Polytechnique2008BS and MS