I am an AI & ML Engineer with 9+ years of experience designing, training, and deploying models across diverse domains, including logistics, computer vision, and generative AI. I'm skilled in Python, TensorFlow, PyTorch, and cloud-based ML pipelines, with experience in startups and mid-sized companies, contributing to scalable AI systems, product innovation, and cross-functional collaboration. I thrive in building end-to-end AI solutions and collaborating with product, backend, and QA teams to deliver production-grade models and robust pipelines that drive impact for customers.

Lennart Kits

I am an AI & ML Engineer with 9+ years of experience designing, training, and deploying models across diverse domains, including logistics, computer vision, and generative AI. I'm skilled in Python, TensorFlow, PyTorch, and cloud-based ML pipelines, with experience in startups and mid-sized companies, contributing to scalable AI systems, product innovation, and cross-functional collaboration. I thrive in building end-to-end AI solutions and collaborating with product, backend, and QA teams to deliver production-grade models and robust pipelines that drive impact for customers.

Available to hire

I am an AI & ML Engineer with 9+ years of experience designing, training, and deploying models across diverse domains, including logistics, computer vision, and generative AI. I’m skilled in Python, TensorFlow, PyTorch, and cloud-based ML pipelines, with experience in startups and mid-sized companies, contributing to scalable AI systems, product innovation, and cross-functional collaboration.

I thrive in building end-to-end AI solutions and collaborating with product, backend, and QA teams to deliver production-grade models and robust pipelines that drive impact for customers.

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Experience Level

Expert
Expert
Expert
Expert

Work Experience

Senior AI & ML Engineer at AI Labs
September 1, 2025 - October 23, 2025
Led development of AI-powered conversational systems, coordinating with backend and frontend teams to expose NLP models via APIs and validate multilingual accuracy. Designed and deployed scalable ML pipelines on Kubernetes using Docker and AWS SageMaker for data classification and routing. Built computer vision models for automated visual recognition integrated into SaaS platforms. Implemented CI/CD for model delivery and monitoring. Mentored engineers and established best practices.
AI & ML Engineer at NextGen AI Labs
February 1, 2024 - October 23, 2025
Built end-to-end NLP pipelines for sentiment and intent detection; deployed scalable APIs into SaaS platforms. Designed and optimized document classification/recognition systems for fintech clients using PyTorch and Hugging Face Transformers. Automated data ingestion, cleaning, model training, hyperparameter tuning, and evaluation to shorten iterations. Deployed containerized ML microservices on AWS EC2 with Docker and managed data pipelines via AWS S3; introduced CI/CD. Implemented MLflow for experiment tracking and model registry. Collaborated with product managers to translate client needs into deployable ML features; researched cutting-edge NLP architectures to stay competitive. Monitored production ML systems with logging/alerting for drift and retraining.
AI Engineer at Nordic DataWorks
June 1, 2021 - October 23, 2025
Designed and deployed predictive models for logistics optimization (forecasting delivery times, optimizing warehouse routing), improving on-time deliveries by ~20%. Developed recommendation engines for retail clients using PyTorch and Pandas for dynamic product personalization. Deployed ML models as containerized microservices with Docker and Kubernetes. Performed feature engineering on time-series and transactional data, and collaborated with cross-functional teams to deliver ML-powered features via REST APIs. Partnered with researchers to experiment with algorithms and conducted A/B tests; authored technical docs for ML adoption in logistics and e-commerce.
Backend Developer at Veriff
April 1, 2018 - October 23, 2025
Built RESTful services in Python and Java to handle authentication, payment flows, and session management. Designed real-time data pipelines for transaction workflows using Apache Kafka and PostgreSQL for storage and fraud-detection triggers. Developed reporting dashboards and monitoring tools for operations. Integrated caching (Redis) and Elasticsearch to optimize API performance and support scale. Designed normalized relational schemas in PostgreSQL/MySQL and collaborated with QA to create Dockerized test environments; contributed to regulatory compliance initiatives (KYC/AML).

Education

Bachelor's Degree in Computer Science at Tallinn University of Technology
January 11, 2030 - June 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Transportation & Logistics, Retail, Professional Services, Other