05/22/2026 updated
100 % available
AI Engineering Lead / Solution Architect
Bucuresti, Romania
Worldwide
Doctor of Philosophy - PhD, Quantum Physics, Pierre and Marie Curie University (2008 - 2012)About me
Experienced AI Engineer/Architect with 15+ projects deployed to clients worldwide.
AI AgentsLLMAlgorithm DesignPython (Programming Language)Machine LearningNatural Language ProcessingSoftware ArchitectureSolution ArchitectureChatbotsDeep LearningGenerative AIMachine Learning Operations
Artificial Intelligence & Machine Learning
Expertise in designing and deploying AI and ML systems, including deep learning models, LLMs, agentic AI frameworks, RAG chatbots, NLP classification, and model ensembles such as XGBoost, RF, and ANN with SHAP explainability.
Agentic AI Development
Development of multi-agent frameworks and agentic systems, including API Explorer agents, RFP evaluators, code migration agents (IIB to Java, COBOL to C+), and conversational agents using GCP, BigQuery, and ADK.
Model Validation & Anti-Fraud Analytics
Design and implementation of anti-fraud analytics programs for major global banks, including alert risk-scoring with model ensembles, entity fuzzy-matching at scale, and Big Data monitoring and alerting systems in production.
Deep Learning & Computer Vision
Application of deep learning techniques for computer vision tasks, including multi-object detection, segmentation and tracking in real time using ConvNets, Yolo, Mask R-CNN, and VGG16 quantization on neural processing units.
Natural Language Processing (NLP)
Implementation of NLP classification projects using NLTK and BERT for transaction and email classification, as well as development of domain-specific RAG chatbots deployed across multiple countries.
Big Data & Cloud Engineering
Migration of ML projects to GCP using Airflow, BigTable, Composer, and Vertex AI. Building and managing Big Data pipelines and production systems at scale.
Time Series & Forecasting
Development of time series forecasting solutions for retail using LSTM and regression models, as well as anomaly detection and prediction for industrial process optimization.
Signal Processing & Data Analysis
Signal and data acquisition, processing, and analysis in research contexts, including real-time signal processing at 100MHz, filtering, denoising, caching, and parallelization.
Solution Architecture & Technical Leadership
Leading solution design, proposal authoring including architecture, delivery roadmap, team composition, and cost estimation. Technical leadership of multiple engineering teams on AI projects.
Expertise in designing and deploying AI and ML systems, including deep learning models, LLMs, agentic AI frameworks, RAG chatbots, NLP classification, and model ensembles such as XGBoost, RF, and ANN with SHAP explainability.
Agentic AI Development
Development of multi-agent frameworks and agentic systems, including API Explorer agents, RFP evaluators, code migration agents (IIB to Java, COBOL to C+), and conversational agents using GCP, BigQuery, and ADK.
Model Validation & Anti-Fraud Analytics
Design and implementation of anti-fraud analytics programs for major global banks, including alert risk-scoring with model ensembles, entity fuzzy-matching at scale, and Big Data monitoring and alerting systems in production.
Deep Learning & Computer Vision
Application of deep learning techniques for computer vision tasks, including multi-object detection, segmentation and tracking in real time using ConvNets, Yolo, Mask R-CNN, and VGG16 quantization on neural processing units.
Natural Language Processing (NLP)
Implementation of NLP classification projects using NLTK and BERT for transaction and email classification, as well as development of domain-specific RAG chatbots deployed across multiple countries.
Big Data & Cloud Engineering
Migration of ML projects to GCP using Airflow, BigTable, Composer, and Vertex AI. Building and managing Big Data pipelines and production systems at scale.
Time Series & Forecasting
Development of time series forecasting solutions for retail using LSTM and regression models, as well as anomaly detection and prediction for industrial process optimization.
Signal Processing & Data Analysis
Signal and data acquisition, processing, and analysis in research contexts, including real-time signal processing at 100MHz, filtering, denoising, caching, and parallelization.
Solution Architecture & Technical Leadership
Leading solution design, proposal authoring including architecture, delivery roadmap, team composition, and cost estimation. Technical leadership of multiple engineering teams on AI projects.
Experience
Professional experience10+ years
Freelancer since2020
Languages
EnglishFluentFrenchFluentRomanianNative speaker
Project history
Led solution design and proposal authoring covering architecture, delivery roadmap, team composition, and cost estimation, securing multiple AI project wins. Technical leadership of several engineering teams on AI projects. Delivered Anti-Fraud Analytics program for a major Global Bank including 3 Big Data projects in production, 2 ML systems (alert risk-scoring with model ensemble and entity fuzzy-matching at scale), 3 AI Bots (Policy Bot with Gemini and custom RAG, Code Assistant, Agentic Helper). Migrated 2 ML projects to GCP, delivered 2 NLP classification projects, several LLM projects including 6 RAG chatbots, automatic exam grader, multi-agent framework for legacy code migration, API Explorer agent, and RFP evaluator. Also delivered dental imaging segmentation at SOTA accuracy, contributed to OpenLLM-Ro open-source initiative, AI for industrial process optimization, time series retail forecasting, VGG16 quantization, and founded the Data Science Team and Chapter in AF.
Founded and led the AI Research Laboratory as Chief Data Scientist, overseeing data science initiatives and AI research projects.
Co-founded the Bucharest Machine Learning Applications Meetup community, active for 8 years.