Maksim Bogdanov

Seasoned Machine Learning Engineer with 5+ years of hands-on experience in model training, deployment, and maintenance within production environments. Specializing in Natural Language Processing (NLP) and deep learning, I've successfully leveraged these skills to drive impactful solutions across various domains. With a proven track record of optimizing Large Language Models (LLMs) and implementing cutting-edge techniques, I excel in working across the entire product lifecycle, from conceptualization to production.

Lead AI Engineer at Wildberries, 09.2021– Present    

E-commerce marketplace with 40+ MM active users.

• Led and mentored a team of 5 Engineers.
• Led full-cycle development processes from ideas to implementation of solutions.
• Developed a Next-Basket Recommendation model for personalized product suggestions.
• Integrated and fine-tuned Large Language Models (LLMs) for NLP tasks, improving text analysis efficiency.
• Tracked and optimized performance.

Achievements:

• Implemented a recommendation model on the cart page, resulting in an additional revenue of $200,000 per month.
• Implemented an Anti-fraud model, reducing non-refundable postpayments from 2% to 1%.

Machine Learning Engineer at Sberbank, 01.2021 – 04.2022    

The 3rd largest bank in Europe.

• Trained and refined efficient and scalable ML models.
• Transformed data science prototypes into scalable ML solutions.
• Developed, adapted, and implemented algorithms tailored for ML tasks.

Achievements:

• Developed a churn prediction model using B2B customer data. Result: 20% reduction in the bank's churn rate.
• Implemented an assistant model for a client manager utilizing "similarity search" principles, which reduced lead generation time x6.

Big Data Analyst at Equant, 01.2019 – 12.2020    

Leading European Network and Digital Integrator.

• Designed and implemented predictive models to forecast business outcomes.
• Analyzed large datasets to extract insights and identify trends.
• Collaborated closely with cross-functional teams.

2021 Data analysis, Machine Learning, Stats | MADE Big Data Academy

2013 MA, Applied Mathematics | MIREA