+/Middle Machine Learning Engineer

На данный момент Middle Python developer.

Мои компетенции и опыт

About me

I am a Python programmer with over three years of experience in data science and web development, currently seeking a job as a MachineLearning Engineer. Although I have not yet worked in Machine Learning professionally, I have gained valuable experience in this fieldthrough several personal projects and have developed a strong passion for it. Over the past year, I have been actively exploring NaturalLanguage Processing (NLP) and Computer Vision techniques, and I am confident in my readiness to move into this specialization. My goal isto apply my programming knowledge to deliver innovative Machine Learning solutions while continually improving my skills in this dynamicand exciting field.
 

HARD SKILLS

Python, PyTorch, Scikit-learn, NumPy, Pandas, Docker, SQL, SpaCy, Git, HuggindFace, Jupyter Notebooks, Linux, Flask,Starlette, aiohttp, PostreSQL
Russian(Native), English(B1)

Employment History

ML-DEVELOPER (GRADUATE)

July нужен доступ к резюме May 2025 | Teach me skills

Completed an intensive hands-on training program in machine нужен доступ к резюме d core ML tools and frameworks: PyTorch, Transformers, нужен доступ к резюме and trained computer vision models, including U-Net, ResNet, LeNet, and нужен доступ к резюме on practical tasks with large language models (LLMs), including: Fine-tuning models for text generation, summarization,translation, emotion detection, and нужен доступ к резюме experience in full-cycle ML development: data preprocessing, model training, evaluation, and task-specific нужен доступ к резюме : Successfully implemented multiple ML solutions in both CV and NLP domains, demonstrating strong practical skills andunderstanding of modern model нужен доступ к резюме stack: PyTorch, Hugging Face Transformers, Scikit-learn, Python, Jupyter.

Python Developer /ML developer 

May 2023 — N

ML-development
Development and training of computer vision models, image classification models, image segmentation models, object classification models by parameters.

Project summary: Creation (modification) of a model based on the Unet architecture. The task is to detect, segment and classify damage to paintwork. Differences from the basic architecture: adding additional layers for classifying damage and detecting elements on which damage is located. The choice of architecture is justified by its relative lightness and high quality of detection for cases of fuzzy boundaries of the segmented area. Impact: Reduction in production defects by 12.7 percent. Technology stack: torch, torchvision, transformers, pandas, Linux,
Web-development
Web-interface for IoT application. Providing access to communication channels with devices, downloading data to the device (programs, circuits, etc.), blocking devices, ensuring the uniqueness of sessions between the device and the client - with support for up to 1000 authorized devices, and 100 simultaneous sessions (users). Technology stack: Starlette, pandas, websockets, PostgreSQL, web-socket, Linux, memory-profiler etc

Middle Python developer

February 2022 — March 2023

Development of the server part of a mobile application for exchanging data between users: FullREST API for mobile application providing the following functionality – authorization, sharing data (text messages, photos, weather data, from external side), user data storage and account deleting, service that depersonalizes data and makes it available for use in machine learning (checking, structuring and formatting data from external sources and app users), FullRest service to support access to machine learning, machine learning service using the nearest neighbor’s method. Technology stack: Flask, Starlette, pandas, scikit-learn, PostgreSQL, FullREST, web-socket, Docker, memory-profiler, request, asynsio.

Junior Python Developer 

January 2021 — June 2021

Product support for network management system - making changes and additions to micro-services developed based on the Flask, Arango DB, PostgreSQL, Docker

Junior Consultant

June 2019 — July 2020

Data formatting and validation tools, written for use in Windows Server 2012; notification scripts for sending messages via e-mail, file conversion from Excel to .csv and vice versa, generating reports based on data scraped from Excel, .csv and API requests (utilizing following data formats: JSON, .txt, .csv); WEB-application module for shares code generation; various bugfixes (refactors and data structures optimization, data migration from MySQL to PostgreSQL) with client-server application generating product codes for dairy products (application communicates to a third-party system utilizing API requests). Technology stack Python, pandas, MsSQL, APScheduler, pyinstaller, memory-profiler, request. openpyxl.

Stack of short-term projects: Django, PostgreSQL, pandas, memory-profiler, request, pyaml, VBA, Excel, PowerBI, Balsamic Mockup, ABAPand more

ABAP development experience: Custom transaction for accounting for discount and referral codes