About Me
Senior MLOps Engineer currently working at Kadam as Senior MLOps Engineer.
Specialized in building production-grade ML systems, implementing CI/CD pipelines, orchestration with Airflow/Prefect, containerization with Docker/Kubernetes, and establishing MLOps best practices across organizations.
Experienced in leading teams, mentoring engineers, and designing scalable ML infrastructure.
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Experience
- Developed alerting system. Developed custom framework for deploying k8s/terraform.
- Integrated A/B-testing, Prefect, Airflow, CI/CD (GitLab, AWS), Docker, unit-tests, linters.
Karpov.Courses
Head of Experts $|$ Content Creator
April 2022 - Present
Courses: ML Engineer $|$ DL Engineer $|$ Hard ML $|$ Data Engineer • Remote
- 44 streams of students graduated. Lead a team of 8 ML experts. Trained 10 interns.
- Designed MLOps and Dynamic Pricing modules at HardML course.
- Design analytical reports with anomaly detection. Improve Data-Driven Decision Making.
- Developed numerous ETL/ML pipelines for dashboards and auto-reports.
- Refactoring 3 legacy prediction projects from TensorFlow to LGBM/CatBoost.
- Developed computer-vision systems for object detection and OCR.
Skills
Programming
Python, R, Bash, SQL, PHP
Instruments
VS Code, PyCharm, Jupyter Notebook/Lab, DataGrip, dbeaver, RStudio
MLOps
MLflow, ClearML, Prefect, Airflow, Argo Workflows, DVC, WandB
LLMOps
vLLM, Ollama, LangChain, HuggingFace
Infrastructure
Linux, Git, Docker, Terraform, Ansible, Kubernetes, Helm
CI/CD
GitLab CI/CD, Github Actions, Jenkins, BitBucket Pipelines
Cloud
Yandex Cloud, AWS
Monitoring
Grafana, Prometheus, Sentry, Evidently AI
Database
ClickHouse, MySQL, Oracle, PostgreSQL
NoSQL/Object Storage
S3, MinIO, Ceph, Aerospike, Redis, MongoDB
Big Data
Hadoop, Spark, Hive
Data Analysis
Numpy, Pandas, Polars, pySpark, SciPy, Statmodels
Visualization
Plotly, Seaborn, Matplotlib, Bokeh, Tableau
Machine Learning
Scikit-Learn, XGBoost/LightGBM/CatBoost, Prophet
Deep Learning
PyTorch, Keras, TensorFlow
Backend
FastAPI, Flask, Streamlit, Gradio, Dash