alekseimikhalev Goto Github PK

followers: 4.0 following: 6.0 repos: 92.0 gists: 1.0

Name: Aleksei Mikhalev

Type: User

Company: self-employed

Bio: Pythonist by day, ML enthusiast by night. Building intelligent solutions with code and curiosity. Open to exciting projects.

Hi, I'm Aleksei Mikhalev. Software Developer focusing on Machine Learning

My current tasks:

Ongoing commercial development:
- RFP Platform: web platform for assisting General Counsels in major companies to hire most suited law firm (legaltech startup). The platform includes web custom search, data mining pipeline, LLMs for text analysis and scoring system.
I’m currently learning best practices of microservices architecture and how to build robust and scalable data-intensive apps;
Fun-Fact: I have a law degree and worked as coporate and venture lawyer for about 8 years;
My Digital Mind Palace;
Simple projects done for various clients:
- building portfolio of Django and FastAPI based applications:
  - Django car exhibitions aggregator app;
- pet-projects:
  - programming books summarizer;
  - stock analytics platform;

Languages and Tools:

Aleksei Mikhalev's Projects

microservice-patterns-and-best-practices

published by Packt

mind-palace

This is my mind palace to hold my knowledge

mitx-stats-notes

Notes for 18.6501x, Fundamentals of Statistics on edX

multifit

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

multilingual_layoutlm

Multilingual support for document parsing.This project has been derived from LayoutLM

nlp_course

YSDA course in Natural Language Processing

numpy

Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library

odsc_training

Code for the training session at ODSC Europe 2020

pdf-annotation-tool

Pdf-annotation is a tool for the Estonia-open-data. It is made using the libraries: React.js, Node.js, pdf.js , Mongodb

pdfplumber

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

product-management

I have completed the 4-month long Nanodegree program on Product Management by Udacity and here is a project that I have developed during the program.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

resources

A list of resources to get you started in data science.

sklearn

Data & Code associated with my tutorial on the sci-kit learn machine learning library in python

software-architecture-with-python

Software Architecture with Python, published by Packt

tabula-py

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

alekseimikhalev Goto Github PK

Hi, I'm Aleksei Mikhalev. Software Developer focusing on Machine Learning

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