Klevi M.
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Klevi M. is a Senior AI/ML Engineer and Data Scientist with extensive experience in building production-grade LLM systems and scalable ML platforms within the SaaS, enterprise AI, and intelligent automation industries. His expertise encompasses deploying reliable AI systems with a focus on observability, evaluation frameworks, and cloud-native infrastructure. He has a proven track record of leading architecture decisions, mentoring engineers, and translating business requirements into robust AI solutions. At evozon, Klevi led the architecture and delivery of AI systems for enterprise SaaS clientele, improving automation and customer support operations. He designed end-to-end retrieval augmented generation pipelines and developed AI observability dashboards. At deepset, he spearheaded the development of semantic search and NLP products, enhancing retrieval quality within knowledge intelligence domains. His technical skills include Python, FastAPI, Hugging Face Transformers, Docker, Kubernetes, TensorFlow, PyTorch, Prometheus, and Grafana. He holds a Bachelor's Degree in Computer Science from Tallinn University of Technology.
Experience
Senior AI/ML Engineer
evozon · 2024 — PresentArchitected and delivered production-grade LLM systems for enterprise SaaS clients to drive automation in internal knowledge workflows and B2B customer support. Designed and deployed RAG pipelines focusing on ingestion workflows, semantic chunking, and vector indexing. Established multi-agent orchestration frameworks to enhance response reliability. Created observability dashboards to monitor retrieval quality and latency, facilitating continuous optimization. Developed evaluation pipelines to ensure groundedness and citation correctness. Provided containerized inference services using microservices architecture, maintaining SLA through caching and fallback strategies. Fine-tuned transformer models for enhanced(search relevance. Collaborated with product, DevOps, and security teams to ensure compliant data handling and infrastructure reliability. Mentored engineers in prompt design and RAG architecture.Senior AI Engineer
deepset · 2021 — 2024Directed the development of NLP and search-driven AI products in the information retrieval and knowledge intelligence sector, focusing on scalable semantic search and question-answering systems. Established semantic search and summarization systems utilizing transformer architectures to enhance document ranking metrics. Developed retrieval pipelines with structured metadata filtering for improved recall and precision. Created document review interfaces for analysts to validate predictions and provide feedback. Built production-grade model serving pipelines with version control and performance benchmarking. Conducted ranking experiments to evaluate retrieval quality, utilizing precision and recall metrics for optimization. Established explainability frameworks for regulated environments.Data Scientist
ValthSolutions · 2018 — 2021Delivered predictive analytics and intelligent automation solutions in data-driven product environments for mid-sized digital businesses. Designed and trained machine learning models for classification and regression tasks, enhancing accuracy in decision-making. Developed feature engineering pipelines and automated data preprocessing workflows to ensure model performance. Executed exploratory data analysis to identify trends and business insights. Implemented model evaluation with cross-validation for robustness before deployment. Deployed models as REST services integrated into backend platforms for smooth production interaction. Built dashboards to visualize KPIs and business impact.Python Developer
Jelvix · 2016 — 2018Participated in backend development projects in SaaS and digital environments, creating scalable services and internal APIs. Developed RESTful APIs for analytics and automation, focusing on security and rate limiting. Implemented asynchronous processing pipelines to reduce API latency. Created database schemas and optimized SQL queries for better performance. Collaborated with DevOps to containerize services for consistent deployment across environments.
Skills & Expertise
Education
- Bachelor's Degree in Computer ScienceTallinn University of Technology · 2012 — 2016