Giter Site home page Giter Site logo

Hi there πŸ‘‹

I am a dedicated ML/Data Engineer with a proven track record of over 2 years, specializing in creating impactful products through the application of cutting-edge machine learning technologies. Throughout my journey, I have successfully contributed to diverse projects, showcasing my expertise in building robust data pipelines as well as delving into advanced areas such as Text-to-Speech and audio processing.

As an advocate of continuous learning, I am committed to staying current with the ever-evolving landscape of ML and data engineering. This mindset empowers me to embrace new challenges and implement novel techniques to drive project success. Beyond technical proficiency, I possess effective communication skills that facilitate seamless collaboration with cross-functional teams and stakeholders, ensuring that projects meet both technical and strategic objectives.

I'm passionate about NLP and audio processing tasks for the Belarusian language, like ASR, TTS, sentiment analysis, and language generation models.

Links

My projects

SparkDrive: Igniting Data Insights in the Auto Sales Landscape
GitHub stars
Engineered a project involving data extraction from av.by using an API, transforming raw data into a Data Lake, and processing it through Apache Spark.

Implemented seamless data orchestration by loading processed data into a Data Warehouse via Apache AirFlow, complemented by a Power BI report.

Extended the project's reach by building a Flask-based web app for predicting car prices.

Autovision: Unveiling Popular Car Classification through Images
GitHub stars
Compiled and curated a dataset of 400,000 car photos, contributing to the model's exceptional accuracy.

Fine-tuned a state-of-the-art car image classifier model using PyTorch, with F1-score of 0,9.

Developed an intuitive FastAPI web app for effortless car classification from images.

Urban Insights: Probing Minsk Apartment Market
GitHub stars
Conducted detailed analysis and data processing of Minsk apartment data by parsing realt.by website information.

Developed and autonomously executed the creation and exploration of predictive models for Minsk apartment prices, leveraging the acquired data.

Languages and Tools

Python
PyTorch Airflow WeightsAndBiases Pandas
Docker Linux
FastAPI Flask Jenkins Postgres MongoDB Tableau

Maksim Liutisch's Projects

Maksim Liutisch doesn’t have any public repositories yet.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.