Lennart Kits
About
Detail
AI Engineer at NextGen AI
Tallinn, Harju County, Estonia
Contact Lennart regarding:
work
Full-time jobs
Résumé
Jobs
verified_user
0% verified
Senior AI & ML EngineerAI LabsMar 2024 - Sep 2025 (1 year 7 months)• Developed AI-powered conversational systems that simulate human dialogue for customer support, coordinating with backend developers to expose NLP models via APIs, frontend teams to build chat interfaces, and QA engineers to validate accuracy across languages. • Designed and deployed intelligent automation pipelines on Kubernetes using Docker and AWS SageMaker, enabling scalable ML workflows that mimic human decision-making for data classification and routing. • Built advanced computer vision models to analyze image and video data, integrated into SaaS platforms for automated visual recognition. • Introduced CI/CD pipelines with GitHub Actions for continuous delivery of models, ensuring reliable deployment and monitoring in production.- NAI & ML EngineerNextGen AI LabsJul 2021 - Feb 2024 (2 years 8 months)• Built end-to-end NLP pipelines for sentiment and intent detection, integrating preprocessing, model training, and inference stages; partnered with backend engineers to deploy scalable APIs into SaaS platforms used by enterprise clients. • Designed and optimized document classification and recognition systems for fintech clients using PyTorch and Hugging Face Transformers, achieving measurable improvements in extracting insights from unstructured financial data (e.g., contracts, invoices, bank statements). • Automated workflows for data ingestion, cleaning, model training, hyperparameter tuning, and evaluation, reducing iteration cycles from several days to a few hours. • Deployed containerized ML microservices on AWS EC2 with Docker,
- NAI EngineerNordic DataWorksMay 2018 - Jun 2021 (3 years 2 months)• Designed and deployed predictive models for logistics optimization in the transportation and supply chain industry, using TensorFlow and Scikit-learn to forecast delivery times and optimize warehouse routing, which improved on-time deliveries by ~20%. • Developed recommendation engines for retail clients using PyTorch and Pandas, enabling dynamic product personalization on e-commerce platforms and driving measurable increases in customer engagement and sales conversions. • Deployed trained ML models as containerized microservices using Docker, with Kubernetes orchestration, ensuring scalability and high availability across client-facing applications. • Conducted feature engineering on time-series and transactional data, applying stati
- Backend DeveloperVeriffFeb 2016 - Apr 2018 (2 years 3 months)• Built RESTful services in Python and Java to handle authentication, payment flows, and session management, ensuring secure and seamless user onboarding experiences for global clients.
• Designed and implemented real-time data pipelines for transaction workflows using Apache Kafka for event streaming and PostgreSQL for persistent storage, enabling instant validation ofuser sessions and fraud detection triggers.
• Developed reporting dashboards and monitoring tools used by operations teams to track transaction outcomes, session activity, and verification success rates.
• Integrated caching layers (Redis) and search capabilities (Elasticsearch) to optimize API response times, reducing latency and supporting Veriff's sca
Education
verified_user
0% verified
- TBachelor's Degree in Computer ScienceTallinn University ofTechnologySep 2012 - Jun 2016 (3 years 10 months)