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AI Architect / Lead Data Scientist | Scaling Enterprise Generative AI, RAG & LLMs
Strategic and hands-on AI Architect with extensive enterprise experience in designing and deploying scalable Machine Learning and LLM-based solutions. Proven track record in bridging the gap between complex AI architectures (RAG, agent-based systems) and tangible business value. Adept at providing technical leadership, guiding cross-functional engineering efforts and managing C-level stakeholder relationships, and driving AI adoption from PoC to production environments. Deep expertise in MLOps/LLMOps, modern AI patterns, and enterprise system integration. Core Competencies • AI & Architecture: LLM architectures, RAG, Agentic Systems, Smart FBT Recommenders, NLP, Deep Learning, Generative AI. • MLOps & Engineering: Python, Docker, Kubernetes, ArgoCD, Helm, MLflow, CI/CD, Drift Detection, Model Retraining. • Infrastructure: AWS, Google Cloud, Local/On-premise Inference (NVIDIA DGX, A100s, vLLM, TensorRT-LLM). • Leadership & Consulting: Technical Leadership, Solution Design, Stakeholder Management, End-to-End Delivery
University of Paris I: Panthéon-Sorbonne
MSc, Quantitative Financial Modelling
January 1, 2009 – January 1, 2011
Copenhagen Business School
BSc, International Business
January 1, 2006 – January 1, 2009
Invenda Group AG
AI Architect / Lead Data Scientist
January 1, 2026 – Present
Sofia City, Bulgaria · Hybrid
Ship.Cars
AI Engineer
January 1, 2022 – January 1, 2025
Sofia City, Bulgaria · Hybrid
Paysafe Group
Machine Learning Engineer
January 1, 2018 – January 1, 2022
Sofia, Bulgaria
Dext
Machine Learning Engineer
January 1, 2016 – January 1, 2018
Sofia, Bulgaria
CommEq Asset Management
Quantitative Analyst
January 1, 2013 – January 1, 2016
Sofia, Bulgaria
CLOUDRISK Limited
Quantitative Analyst
January 1, 2012 – January 1, 2012
Sofia, Bulgaria
OMV
Financial Consultant
January 1, 2011 – January 1, 2011
Vienna, Austria
Youcalc
Business Intelligence Consultant
January 1, 2007 – January 1, 2009
Copenhagen, Denmark
Transformers in Bulgarian
January 1, 2019 – Present
Transformers in Bulgarian: Trained diverse transformer architectures from scratch for the Bulgarian language, available on HuggingFace. LLMOps & Synthetic Data: Utilized Magpie and Meta's Llama family to generate high-quality synthetic data. Applied model merging techniques to enhance domain-specific capabilities (e.g., math proficiency). Advanced Inference: Extensive experience with cloud (Runpod) and on-premise hardware (A100s, H100s), utilizing vLLM and text-generation-inference for optimized deployment. NLP Pipelines: Developed state-of-the-art models for translation (Roberta2Roberta), summarization (Pegasus/BART), Sentiment Analysis, NER, POS, and Question Answering.
Cultural Fit Analysis
The candidate's career trajectory shows a clear focus on AI/ML, aligning well with an AI Architect role. The personal project 'Transformers in Bulgarian' demonstrates initiative, self-driven learning, and a passion for the field beyond professional duties. The diverse experience across different companies (Invenda Group AG, Ship.Cars, Paysafe Group, Dext) suggests adaptability. The transition from quantitative analysis to AI/ML indicates a capacity for continuous learning and embracing new domains. However, the lack of explicit project diversity outside of core AI/ML applications might suggest a narrower focus, which could be a factor depending on the specific team culture.
Soft Skills & Operational Fit
The candidate's progression through various AI/ML roles suggests strong problem-solving and leadership potential. The project descriptions indicate a hands-on approach to complex technical challenges. However, without specific assessment data on communication, logical reasoning, or teamwork, a detailed analysis of soft skills and operational fit is limited. The experience in stakeholder management implies some level of communication and collaboration skills.