Available to hire
I’m Stefan Marinov, a Senior Machine Learning and Full Stack Engineer with a strong mathematical foundation and a proven track record of designing and deploying scalable AI models for real-world applications in finance, healthcare, and manufacturing.
My expertise spans Python, TensorFlow/PyTorch, and cloud platforms, plus data engineering, MLOps, and statistical modeling. I’m currently focusing on cutting-edge domains such as generative AI, foundation models, multimodal learning, self-supervised learning, federated learning, reinforcement learning, AutoML, and causal inference — supported by optimization, probability theory, and linear algebra. I enjoy mentoring junior engineers and driving cross-functional collaboration to accelerate AI adoption.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Bulgarian
Fluent
English
Advanced
Work Experience
Senior Machine Learning Engineer at Lilt
May 31, 2025 - July 22, 2025Developed and optimized machine learning models for adaptive language translation systems. Collaborated with linguists and data scientists to enhance multilingual NLP capabilities. Led AI infrastructure improvements for model training, deployment, and evaluation pipelines. Researched cutting-edge methods in neural translation, active learning, and domain adaptation. Mentored junior engineers while promoting scalable, ethical AI practices within product teams.
Senior Machine Learning Engineer at Qubika
May 31, 2024 - July 22, 2025Designed and deployed scalable machine learning solutions for client-facing AI products across healthcare and fintech sectors. Optimized model performance and infrastructure, reducing training time and compute costs by 35% through custom pipeline engineering. Collaborated with cross-functional teams to integrate AI systems into cloud-native environments using MLOps best practices. Led technical mentorship and contributed to internal knowledge-sharing on advanced topics like transformers and data-centric AI.
Led Deep Learning Researcher at Q2M
December 31, 2022 - July 22, 2025Spearheaded the design and development of deep learning models for enterprise chatbot automation using Azure OpenAI and custom transformers. Achieved a 42% improvement in response accuracy and latency reduction across NLP-driven customer support systems. Collaborated with cross-functional teams to integrate real-time AI models into scalable microservices deployed via Azure Kubernetes Service (AKS). Mentored junior researchers and engineers, establishing internal best practices for model evaluation, data versioning, and prompt engineering. Published internal research whitepapers on few-shot learning and reinforcement learning in conversational AI, guiding Q2M’s product innovation roadmap.
Senior Machine Learning Engineer at Blink Technologies
December 31, 2021 - July 22, 2025Developed end-to-end machine learning pipelines for client-facing web applications, focusing on recommendation systems and user behavior prediction. Integrated computer vision models into cloud-based platforms to automate visual content tagging and real-time anomaly detection. Collaborated with frontend and DevOps teams to deploy ML models using containerized services and CI/CD workflows on AWS. Led internal training sessions on model interpretability, feature engineering, and ethical AI practices for cross-disciplinary teams.
Junior Deep Learning Engineer at Dreamix
December 31, 2019 - July 22, 2025Assisted in developing and fine-tuning convolutional neural networks (CNNs) for image classification and object detection tasks. Built data preprocessing pipelines to clean, augment, and prepare large-scale datasets for supervised learning projects. Supported senior engineers in training deep learning models using TensorFlow and PyTorch, optimizing hyperparameters and architecture layers. Collaborated with software and DevOps teams to integrate trained models into production systems with RESTful API endpoints. Documented model performance, experiments, and versioning processes to ensure reproducibility and team-wide knowledge sharing.
Software Engineer & Mathematician at Accedia
May 31, 2018 - July 22, 2025Designed and implemented algorithmic solutions for enterprise software projects, applying mathematical modeling to optimize performance and scalability. Developed custom analytics modules and data-driven tools using Python, Java, MERN, and SQL across finance and logistics domains. Collaborated with cross-functional teams to integrate statistical models and machine learning components into production environments. Conducted internal workshops on applied mathematics and numerical methods, mentoring junior developers in analytical problem-solving.
Senior Machine Learning Engineer at Lilt
May 31, 2025 - July 22, 2025Developed and optimized machine learning models for adaptive language translation systems. Collaborated with linguists and data scientists to enhance multilingual NLP capabilities. Led AI infrastructure improvements for model training, deployment, and evaluation pipelines. Researched cutting-edge methods in neural translation, active learning, and domain adaptation. Mentored junior engineers while promoting scalable, ethical AI practices within product teams.
Senior Machine Learning Engineer at Qubika
May 31, 2024 - July 22, 2025Designed and deployed scalable machine learning solutions for client-facing AI products across healthcare and fintech sectors. Optimized model performance and infrastructure, reducing training time and compute costs by 35% through custom pipeline engineering. Collaborated with cross-functional teams to integrate AI systems into cloud-native environments using MLOps best practices. Led technical mentorship and contributed to internal knowledge-sharing on advanced topics like transformers and data-centric AI.
Led Deep Learning Researcher at Q2M
December 31, 2022 - July 22, 2025Spearheaded the design and development of deep learning models for enterprise chatbot automation using Azure OpenAI and custom transformers. Achieved a 42% improvement in response accuracy and latency reduction across NLP-driven customer support systems. Collaborated with cross-functional teams to integrate real-time AI models into scalable microservices deployed via Azure Kubernetes Service (AKS). Mentored junior researchers and engineers, establishing internal best practices for model evaluation, data versioning, and prompt engineering. Published internal research whitepapers on few-shot learning and reinforcement learning in conversational AI, guiding Q2M’s product innovation roadmap.
Senior Machine Learning Engineer at Blink Technologies
December 31, 2021 - July 22, 2025Developed end-to-end machine learning pipelines for client-facing web applications, focusing on recommendation systems and user behavior prediction. Integrated computer vision models into cloud-based platforms to automate visual content tagging and real-time anomaly detection. Collaborated with frontend and DevOps teams to deploy ML models using containerized services and CI/CD workflows on AWS. Led internal training sessions on model interpretability, feature engineering, and ethical AI practices for cross-disciplinary teams.
Junior Deep Learning Engineer at Dreamix
December 31, 2019 - July 22, 2025Assisted in developing and fine-tuning convolutional neural networks (CNNs) for image classification and object detection tasks. Built data preprocessing pipelines to clean, augment, and prepare large-scale datasets for supervised learning projects. Supported senior engineers in training deep learning models using TensorFlow and PyTorch, optimizing hyperparameters and architecture layers. Collaborated with software and DevOps teams to integrate trained models into production systems with RESTful API endpoints. Documented model performance, experiments, and versioning processes to ensure reproducibility and team-wide knowledge sharing.
Software Engineer & Mathematician at Accedia
May 31, 2018 - July 22, 2025Designed and implemented algorithmic solutions for enterprise software projects, applying mathematical modeling to optimize performance and scalability. Developed custom analytics modules and data-driven tools using Python, Java, MERN, and SQL across finance and logistics domains. Collaborated with cross-functional teams to integrate statistical models and machine learning components into production environments. Conducted internal workshops on applied mathematics and numerical methods, mentoring junior developers in analytical problem-solving.
Senior Machine Learning Engineer at Lilt
May 31, 2025 - July 22, 2025Developed and optimized machine learning models for adaptive language translation systems. Collaborated with linguists and data scientists to enhance multilingual NLP capabilities. Led AI infrastructure improvements for model training, deployment, and evaluation pipelines. Researched cutting-edge methods in neural translation, active learning, and domain adaptation. Mentored junior engineers while promoting scalable, ethical AI practices within product teams.
Senior Machine Learning Engineer at Qubika
May 31, 2024 - July 22, 2025Designed and deployed scalable machine learning solutions for client-facing AI products across healthcare and fintech sectors. Optimized model performance and infrastructure, reducing training time and compute costs by 35% through custom pipeline engineering. Collaborated with cross-functional teams to integrate AI systems into cloud-native environments using MLOps best practices. Led technical mentorship and contributed to internal knowledge-sharing on advanced topics like transformers and data-centric AI.
Led Deep Learning Researcher at Q2M
December 31, 2022 - July 22, 2025Spearheaded design and development of deep learning models for enterprise chatbot automation using Azure OpenAI and custom transformers. Achieved a 42% improvement in response accuracy and latency reduction across NLP-driven customer support systems. Collaborated with cross-functional teams to integrate real-time AI models into scalable microservices deployed via Azure Kubernetes Service (AKS). Mentored junior researchers and engineers, establishing internal best practices for model evaluation, data versioning, and prompt engineering. Published internal research whitepapers on few-shot learning and reinforcement learning in conversational AI.
Senior Machine Learning Engineer at Blink Technologies
December 31, 2021 - July 22, 2025Developed end-to-end machine learning pipelines for client-facing web applications, focusing on recommendation systems and user behavior prediction. Integrated computer vision models into cloud-based platforms to automate visual content tagging and real-time anomaly detection. Collaborated with frontend and DevOps teams to deploy ML models using containerized services and CI/CD workflows on AWS. Led internal training sessions on model interpretability, feature engineering, and ethical AI practices for cross-disciplinary teams.
Junior Deep Learning Engineer at Dreamix
December 31, 2019 - July 22, 2025Assisted in developing and fine-tuning convolutional neural networks (CNNs) for image classification and object detection tasks. Built data preprocessing pipelines to clean, augment, and prepare large-scale datasets for supervised learning projects. Supported senior engineers in training deep learning models using TensorFlow and PyTorch, optimizing hyperparameters and architecture layers. Collaborated with software and DevOps teams to integrate trained models into production systems with RESTful API endpoints. Documented model performance, experiments, and versioning processes to ensure reproducibility and team-wide knowledge sharing.
Software Engineer & Mathematician at Accedia
May 31, 2018 - July 22, 2025Designed and implemented algorithmic solutions for enterprise software projects, applying mathematical modeling to optimize performance and scalability. Developed custom analytics modules and data-driven tools using Python, Java, MERN, and SQL across finance and logistics domains. Collaborated with cross-functional teams to integrate statistical models and machine learning components into production environments. Conducted internal workshops on applied mathematics and numerical methods, mentoring junior developers in analytical problem-solving.
Machine Learning Engineer at Intuit Inc
September 1, 2023 - June 1, 2025Develop scalable backend systems using Python and Go, integrating LLMs into customer-facing applications. Delivered rapid V1 prototypes for AI-native products, applying LangChain, CrewAI, and prompt engineering techniques to solve complex user problems. Integrated Vision AI and multimodal models into backend systems, enabling intelligent automation and conversational interfaces at scale. Ensure software quality through TDD, CI/CD, and scalable API design, while collaborating cross-functionally with AI, product, and UX teams.
Senior Machine Learning Engineer at Lilt
June 1, 2024 - May 1, 2025Develop and optimize machine learning models for adaptive language translation systems. Collaborate with linguists and data scientists to enhance multilingual NLP capabilities. Lead AI infrastructure improvements for model training, deployment, and evaluation pipelines. Research cutting-edge methods in neural translation, active learning, and domain adaptation. Mentor junior engineers while promoting scalable, ethical AI practices within product teams.
Senior Machine Learning Engineer at Qubika
May 1, 2022 - May 1, 2024Design and deploy scalable machine learning solutions for client-facing AI products across healthcare and fintech sectors. Optimize model performance and infrastructure, reducing training time and compute costs by 35% through custom pipeline engineering. Collaborate with cross-functional teams to integrate AI systems into cloud-native environments using MLOps best practices. Lead technical mentorship and contribute to internal knowledge-sharing on advanced topics like transformers and data-centric AI.
Led Deep Learning Researcher at Q2M (Blif)
January 1, 2021 - December 1, 2022Spearheaded the design and development of deep learning models for enterprise chatbot automation using Azure OpenAI and custom transformers. Achieved 42% improvement in response accuracy and latency reduction across NLP-driven customer support systems. Collaborated with cross-functional teams to integrate real-time AI models into scalable microservices deployed via Azure Kubernetes Service (AKS). Mentored junior researchers and engineers, establishing internal best practices for model evaluation, data versioning, and prompt engineering. Published internal research whitepapers on few-shot learning and reinforcement learning in conversational AI.
Senior Machine Learning Engineer at Blink Technologies
January 1, 2020 - December 1, 2021Developed end-to-end machine learning pipelines for client-facing web applications, focusing on recommendation systems and user behavior prediction. Integrated computer vision models into cloud-based platforms to automate visual content tagging and real-time anomaly detection. Collaborated with frontend and DevOps teams to deploy ML models using containerized services and CI/CD workflows on AWS. Led internal training sessions on model interpretability, feature engineering, and ethical AI practices for cross-disciplinary teams.
Junior Deep Learning Engineer at Dreamix
April 1, 2018 - December 1, 2019Assisted in developing and fine-tuning convolutional neural networks (CNNs) for image classification and object detection tasks. Built data preprocessing pipelines to clean, augment, and prepare large-scale datasets for supervised learning projects. Supported senior engineers in training deep learning models using TensorFlow and PyTorch, optimizing hyperparameters and architecture layers. Collaborated with software and DevOps teams to integrate trained models into production systems with RESTful API endpoints. Documented model performance, experiments, and versioning processes to ensure reproducibility and team-wide knowledge sharing.
Software Engineer & Mathematician at Accedia
September 1, 2014 - May 1, 2018Designed and implemented algorithmic solutions for enterprise software projects, applying mathematical modeling to optimize performance and scalability. Developed custom analytics modules and data-driven tools using Python, Java, MERN, and SQL across finance and logistics domains. Collaborated with cross-functional teams to integrate statistical models and machine learning components into production environments. Conducted internal workshops on applied mathematics and numerical methods, mentoring junior developers in analytical problem-solving.
Machine Learning Engineer (Remote - Part time) at Intuit Inc
September 1, 2023 - June 1, 2025Develop scalable backend systems using Python and Go, integrating LLMs (OpenAI, Claude) into customer-facing applications. Deliver rapid V1 prototypes for AI-native products, applying LangChain, CrewAI, and prompt engineering to solve complex user problems. Integrate Vision AI and multimodal models into backend systems, enabling intelligent automation and conversational interfaces at scale. Ensure software quality through TDD, CI/CD, and scalable API design, while collaborating cross-functionally with AI, product, and UX teams.
Senior Machine Learning Engineer (Remote) at Lilt
June 1, 2024 - May 1, 2025Develop and optimize machine learning models for adaptive language translation systems. Collaborate with linguists and data scientists to enhance multilingual NLP capabilities. Lead AI infrastructure improvements for model training, deployment and evaluation pipelines. Research cutting-edge methods in neural translation, active learning, and domain adaptation. Mentor junior engineers while promoting scalable, ethical AI practices within product teams.
Senior Machine Learning Engineer (Remote) at Qubika
May 1, 2022 - May 1, 2024Design and deploy scalable machine learning solutions for client-facing AI products across healthcare and fintech sectors. Optimize model performance and infrastructure, reducing training time and compute costs by 35% through custom pipeline engineering. Collaborate with cross-functional teams to integrate AI systems into cloud-native environments using MLOps best practices. Lead technical mentorship and contribute to internal knowledge-sharing on advanced topics like transformers and data-centric AI.
Education
Master of Science at Sofia University
January 1, 2008 - December 31, 2014Master of Science at Sofia University
January 1, 2008 - December 31, 2014Master of Science at Sofia University
January 1, 2008 - December 31, 2014Master of Science in Computer Science and Mathematics at Sofia University
January 1, 2008 - January 1, 2014Master of Science in Computer Science and Mathematics at Sofia University
January 1, 2008 - January 1, 2014Master of Science in Computer Science and Mathematics at Sofia University
January 1, 2008 - January 1, 2014Master of Science in Computer Science and Mathematics at Sofia University
January 1, 2008 - January 1, 2014Qualifications
Industry Experience
Financial Services, Healthcare, Manufacturing, Software & Internet, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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