Nikita Zakharov

Developed a data labeling agent using Llama and Qwen, processing over 1B data points and reducing deployment timelines by 50%. Led a cross-functional team in designing a dynamic chatbot system, increasing user engagement by 40%.

Designed a CatBoost model to detect prohibited items on Ebay, improving decision-making speed by 30%. Implemented a BERT pipeline for fraud detection, reducing prohibited item sales by 30 times.

Developed an NLP baseline product categorization model and a sentiment analysis service prototype, reducing business process costs by 50%. Integrated the solution as a pilot for a local company.

Developed an ML workflow for metabolic health data, improving personalized recommendation accuracy by 35%. Built Superset dashboards to visualize key metabolic metrics, increasing user engagement by 45%.

Completed a Bachelor's Degree in Business Informatics. This program provided a strong foundation in both business principles and information technology.

Grade: 9/10

Successfully completed the ML in Production and LLM courses by deepschool.ru, achieving a GPA of 9/10. These courses focused on practical machine learning deployment and large language models.

Grade: 9/10

Completed ML 101, Advanced DL and NLP, and Applied DS Problems courses at CS HSE, achieving a GPA of 9/10. These courses covered fundamental and advanced topics in machine learning, deep learning, natural language processing, and practical data science problem-solving.

Grade: 100%

Completed courses in LangGraph, LLamaIndex, crewAI, neo4j, and Efficient AI serving by deeplearn100%ai. These courses provided in-depth knowledge of modern AI frameworks and efficient AI deployment strategies.

Grade: 9/10

Completed the ML course at Tinkoff Education, achieving a GPA of 9/10. This course provided practical skills and knowledge in machine learning.

Grade: Not graded

Completed the ML Interpretability course by CAIS. This course focused on understanding and explaining machine learning models.

Completed the AI Alignment course by BlueDot. This course explored the principles and challenges of aligning artificial intelligence with human values.