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Nikita Zakharov

@nikitazakharov

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Lead AI Engineer specializing in machine learning and data analytics.

Russian Federation

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my AI expertise to drive impactful solutions.

As a Lead AI Engineer at Perfluence, I've spearheaded the development of a data labeling agent that processes over 1 billion data points, significantly reducing deployment timelines by 50% and cutting ML development costs by 20%. My leadership in designing a dynamic chatbot system using LangGraph and qdrant has resulted in a remarkable 40% increase in user engagement and satisfaction. I take pride in fostering a collaborative environment, having successfully led the hiring process for data scientists, ensuring a 100% probation completion rate.

Previously, I served as an ML Engineer at 3PM.ai, where I designed a CatBoost model that improved decision-making speed by 30% and reduced the number of prohibited items sold by 30 times. My experience also includes creating Airflow DAGs to automate processes, which decreased routine work by 40%. My analytical skills were further honed as a Data Scientist at Realytics.com, where I developed NLP models that cut business process costs by 50% and integrated solutions for local companies.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer

Current

Perfluence

Aug 2023 - Present (1 year 10 months)

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%.

Qwen Sglang Evidently AI MLFlow Toloka AI

ML Engineer

3PM.ai

Jul 2022 - Aug 2023 (1 year 1 month)

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.

CatBoost Kubernetes BERT MLFlow Airflow Superset SHAP Docker Google Cloud Platform

Data Scientist

Realytics.com

Jun 2021 - Jun 2022 (1 year)

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.

NLP System Design Python Machine Learning

Analytics Engineer

Aspect-Health.com

Oct 2020 - Jun 2021 (8 months)

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%.

Python Superset PyTorch Anomaly Detection Data Visualization Machine Learning

Education

Degrees, certifications, and relevant coursework

Higher School of Economics

Bachelor's Degree, Business Informatics

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

deepschool.ru

Course Completion, Machine Learning, Large Language Models

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.

CS HSE

Course Completion, Machine Learning, Deep Learning, Natural Language Processing, Data Science

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.

deeplearn100%ai

Course Completion, AI Frameworks, Efficient AI Serving

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.

Tinkoff Education

Course Completion, Machine Learning

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.

CAIS

Course Completion, ML Interpretability

Grade: Not graded

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

BlueDot

Course Completion, AI Alignment

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