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slavyolov

Slav Yolov

@slavyolov

Lead ML AI Engineer

Bulgarije
Engels, Bulgaars
Sommige informatie wordt in het Engels weergegeven.
Over mij
Senior Machine Learning Engineer with 10 years of experience building and productionizing data-driven solutions on Databricks, Azure, and MLflow. Strong hands-on background in lakehouse architectures, Spark-based pipelines, feature engineering, and scalable model deployment. Experienced in forecasting, operational optimization, and LLM-powered applications, with a track record of turning business requirements into production ML systems and measurable outcomes.... Lees meer

Skills

s
slavyolov
Slav Yolov
offline • 
Gemiddelde reactietijd: 1 uur

Bekijk mijn diensten

Machine learning
I will senior machine learning engineer
VanafUS$ 90 / projectMeer informatie

Werkervaring

Confidentials

Lead ML & AI Engineer

Confidentials • Fulltime

Feb 2025 - Present • 1 yr 3 mos

Company Name: Confidential (Hospitality & Gaming, US based) Joined a greenfield initiative to build an organization-wide ML/AI platform from day zero, with responsibility for leading two flagship products: an Offer Recommendation Engine on Databricks and a Talk-to-Your-Data interface on Snowflake Cortex ML. Partnered with leadership and engineering to define the architecture, drive planning, and deliver production-ready ML systems. Recently deployed the LLM-powered interface to production, while the recommender system is in final optimization phase.

Kaufland

DS / ML Engineer / Engineering Lead

Kaufland • Fulltime

Jul 2017 - Mar 2025 • 7 yrs 8 mos

Company Name : Schwarz IT Bulgaria Progressed from Data Scientist to Engineering Lead, building and industrializing ML solutions for retail operations on Azure Databricks. Since 2023, led hands-on development and mentored 5+ team members, translating business needs into production ML systems and operational decision support. Core contributor on productionized solutions for supply chain optimization, intraday dynamic pricing for fruit and vegetables, VM anomaly detection, and others, using LightGBM, time-series forecasting, MLflow Model Registry, batch inference, and scalable Databricks/Azure pipelines.