Janis Iranee Email & Phone Number

Janis Iranee is a Freelance Data Science and Machine Learning Engineer at Self-employed. Colleagues describe her as "Janis is an exceptionally talented, trusted, and fast-learning engineer, and was a real pleasure to work with. I managed Janis while he was a Machine Learning Engineer at Freshbooks. Like many newer machine learning teams we had a very new tech stack that was constantly evolving as our team was growing. When Janis joined I was unsure of how complicated it would be to learn. I was blown away by how quickly and with such attention to detail he was able to pick up and understand our technology. Within almost very little time he didn’t just understand it, but was actively improving our processes and contributing at a very fundamental level. A big responsibility for our team was taking models from R&D and getting them into production. Janis took a leading role in this, being directly responsible and deploying some of our most complicated models. In addition, he built many of the team’s monitoring systems. Janis took the lead on looking at the feature drift of our ML ecosystem. He built an automated system that could detect when models needed to be retrained by not just their performance and accuracy, but by the changes of the inputs to the models. This mean’t we were able to get models retrained before we started to observe any performance decay. Beyond the technology itself, Janis was just an overall wonderful person, an excellent contributor, and was highly respected amongst the broader Data Science, Machine Learning, and Data Engineering teams." and "Janis is someone you can truly rely on, not only for his technical expertise but also for his thoughtful and collaborative approach to tackling challenges. I worked with Janis on several projects where our teams collaborated closely over two years. Janis is an exceptionally efficient and dependable professional, capable of delivering turn-key solutions across both ML Engineering and Data Engineering domains to productionalize ML models seamlessly. During our time working together, Janis contributed significantly to the development of ML pipelines within our declarative pipeline framework. He also played a key role in building feature data pipelines in our dbt-based SQL framework. The tasks were often complex and ambiguous, but Janis consistently demonstrated his ability to devise the right plan to address these challenges and deliver high-quality results. With his startup background, Janis is experienced across multiple domains and ensures timely delivery of tasks, no matter the complexity. Beyond his technical expertise, he is calm, approachable, and always willing to discuss tasks thoroughly. He proposes practical options to address immediate roadblocks while simultaneously outlining robust plans for long-term productionalization."