Rumen Mihaylov
AI ArchitectAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.