- ETL Pipeline Development: Creating robust ETL pipelines to streamline data flow across systems.- Data Warehouse (DWH) Modeling: Optimizing and maintaining DWH for enhanced data integrity and performance.- ML Service Maintenance: Ensuring reliability and performance of machine learning services.- Innovation: Leading initiatives to integrate DBT and DataHub for improved data governance and collaboration.Proficient in Python, Airflow, PostgreSQL, ClickHouse, MongoDB, Docker, Jenkins, Sagemaker, DBT, S3, Kafka, AWS, REST API, and DataHub.

AI/ML Project Experience:I have completed 7 AI/ML projects in various fields including CV, NLP, and Regression Analysis. These projects involved tasks such as OCR, Object Detection, Object Segmentation, Face Recognition, Similarity Search, Text Classification, NER, Topic Modeling, and Text Generation. I have utilized a wide range of technologies and tools, such as Python, Go, Kotlin, TensorFlow, Pytorch, TFLite, YOLO, Detic, OpenCV, EasyOCR, Tesseract, Sklearn, Matplotlib, gensim, SpaGo, Cybertron, Milvus, FastAPI, Rasa, Scrapy, Locust, Docker, Kubernetes, Postgres, Redis, Kafka, RabbitMQ, and ArgoCD. As part of these projects, I have researched published studies and datasets, collected and explored data (including web-scraping), designed data processing pipelines, and trained ML models. Additionally, I have developed system architectures, REST API services, performance tests, and implemented CI/CD processes. I have also reviewed and refactored code from other developers.Data Engineering Experience:I have worked on an internal DWH project where I collected data from various sources, performed data cleaning, and created dashboards. My skills in Python, Airflow, Apache Superset, Postgres, ClickHouse, Apache Drill, Docker, Kubernetes, ArgoCD, and Hashicorp Vault were utilized for this project. My responsibilities included creating data extraction and clearing pipelines, data exploration, preparing reports and dashboards, and implementing CI/CD processes.Signal Processing Experience:I have experience developing a data processing module for a ship's navigation system that involved collecting, averaging, and smoothing data from ship sensors using technologies such as C++, Python, boost 1.65.1, eigen 3.3.2, pugixml 1.10.0, log4cplus 1.2.1, and gtest 1.8.1. My responsibilities included designing and implementing a C++ library, developing unit tests, and creating simulation tests for noisy sensor data.

ERP System DevelopmentDetails: Led development of a custom ERP system for internal use, with a server-client architecture and desktop Qt-based UI. Successfully integrated with various equipment, including QR-code scanners, photo/video cameras, and X-ray machines.Responsibilities:• Designed and implemented software• Designed database• Conducted testing• Designed user interfaceTechnologies/Tools: C++, Qt 5.12, MySQL, Google BreakpadInformation Security CertificationDetails: Led security certification for over 10 computer applications utilizing a variety of technologies, including C++, C#, Qt, ASP.NET, and PostgreSQL. Responsibilities included conducting security research, creating documentation, and communicating with clients and supervisory authorities.Technologies/Tools: SciTools Understand, Ida Pro, ILSpy.