Chubak Bidpaa

aka: Behrang Nevi @gvlside
Alt URL:

[email protected] or [email protected]*
Chubak#7400
https://github.com/chubek | https://chubek.github.com
https://www.linkedin.com/in/chubak-bidpaa-0a3798189/
PDF Version

Seeking

Machine Learning Engineering, Artificial Intelligence, Automation

Alma Mater
Roles
Projects, Skills, and Experiences

Freelance projects, sorted in order of importance:

Project Skill Experiences Language Tools and Techs
Mo Face Recognition and Liveness Detection Vision Using Keras and DeepFace to create a liveness detection and facial recognition network.
Using Flask to create a fluid backend for a face recognition project.
Assessing image quality
Did successful unit tests across all modules.
Good API practices such as logging and return codes.
Creating facial embedding vectors.
Using jQuery to send requests for a simple frontend.
Validating user settings for errors.
Successfully used a custom network for liveness detection with an accuracy of 97%.
Wrote adequately detailed documents.
Python, HTML, JavaScript Keras
DeepFace
MTCNN
Dotenv
Flask
imgaug
OpenCV
Image-Qualiy
Flask
Numpy
SparrowVoice Convertor ML Engineering Using GMM models to convert between voices.
Using intermediate GUI systems to create a GUI in Python.
Using PyDub, SciPy and Numpy to process sound samples.
Extracting feature statistics from sound files.
Python Sprocket-VC, PyDub
DearPyGUI, PyWorld
Scikit-Learn
SPTK
SciPy
Numpy
Frontend for OpenAI Jukebox ML Engineering Using Jupyter notebook forms to create a GUI.
Creating a sound environment for the end user.
Dissecting other people's projects.
Python Jukebox
Jupyter Notebook forms
London Tram Arrival Time Predictor Shallow Learning Using XGBoost to create a regression model.
Selecting the best hyperparameters using Hyperopt paramter optimization.
Preparing the script for the end user.
Python XGBoost
Hyperopt
Scikit-Learn
Pandas
Various Automation tools Automation, Shallow Learning Using Selenium and Playwright to automate the browser.
"Hacking" the endpoints to receive the target data.
Creating CLI tools for the end user.
Using OCR to read characters from screenshots.
Using Google Maps to get GeoJSON data.
Using Docker to containterize and serve systems.
Using K-Means clustering to cluster information.
Using lxml and XPath to get HTML elements
Using Google Cloud Platform APIs to serve the means of the project.
Storing data in BigQuery and SQL tables.
Doing SEO with Google Analytics and backlinks API.
Using Regex patterns to validate data.
Used RAKE to get keywords from text.
Python, Go Selenium
Playwright
HTTP tools
Base64 tools
OCR tools
XPath
lxml
Google Cloud API tools
Scikit-Learn
Regex
Tkinter
Rake
Docker
Joblib
Pandas
PyInstaller
Go and Python MySQL and MSSQL tools
Azure
Google Cloud Platform
Go Excel tools
Google Analytics
Reddit Scraping and Automation Tool Web Scraping, Automation Using PRAW to scrape and automate Reddit.
Using Selenium and lxml to scrape pages.
Python, JavaScript PRAW
Selenium
lxml
Docker
Google Cloud APIs (BigQuery, Programmable Search, Sheets)
Potpourri SEO Analyzer Web Scraping, Automation Successfully creating a Python package from scratch.
Applying object-orieted programming practices.
Search Engine Optimization analyzer.
Python Google API
lxml
requests
regex
Concurrency and Parallelism
NLTK
RAKE
BS Parser
Forex Trader Bot Deep Learning, Automation, Deep Reinforcement Learning Trained a classifier that predicted short/long.
Trained a regressor that predicted the change in Close indicator.
Trained a reinforcement learning model that traded based on technical analysis indicators and portfolio metrics.
Python Python's ta library (Technical Analysis)
keras-rl2
Tensorflow and Keras
Google Colab
Sklearn
GPT-3 Wrapper Fullstack and ML Eng GPT-3 Wrapper for Generating Articles Python, HTML, JavaScript FastAPI, OpenAI GPT-3
Hugging Face
Jupyter Notebook
Google Colab
TheFuzz (Formerly Known as FuzzyWuzzy)
Schoolingo Document Scanner Computer Vision, OCR Used classical computer vision to scan documents.
Used Tesseract to do OCR.
Used Spacy's NLP tools to filter certain parts of the document.
Python Spacy
OpenCV
Tesseract
Various Deep Learning Training Tools Deep Learning Using FiftyOne toolset to sample data.
Using Unet to segment imags.
Training an original network for Liveness detection.
Using Google Colab Pro for cloud computing.
Using Google Drive in a novel way.
Doing NLP with GloVE embedding vectors.
Using original Conv2D and LSTM networks to regress and classify data.
Python FiftyOne
Keras
UNet
Torch
Scikit-Learn
OpenCV
PIL
Numpy
SciPy
BERT
Keras-Segmentation
GloVE
Adobe Premiere MOGRT Automation Tool Automation Successfully used ExtendScript and CEP panels to get MOGRTs from a Premiere project and set it back.
Made a concurrent backend with Sandboxie.
JavaScript, Node.js, ExtendScript, Python Sandboxie
Flask
JSON
File IO
A series of Machine learning exercises for a course Shallow/Deep Learning Writing a Gradient descent algorithm from scratch.
Creating an basic Autonomous driving system from scratch.
Writing over 60 ML/DL exercises.
Using matplotlib to visualize data.
Writing loss functions, cost functions, and objective functions from scratch.
Python Self-created tools
Keras
Scikit-Learn
Pandas
Wget
Jupyter Notebook
Linear Regression
Ensemble Methods
Logistic Regression
Clustering methods
Decision trees
Support Vector Machines.
Web Scraping with Rust Web Scraping, Automation Successfully used Rust for browser automation and web scraping. Rust Reqwest
Tokio
Fantoccini
Hyper
Serde
Regex
A CRUD server in Rust CRUD Successfully created an asynchrnous web server with Rust that stores data in MongoDB.M
Used RAKE to get keywords from texts.
Rust Rake
Tide
async-std
Serde
mongodb
PDF Table Comparator Automation Successfully extracted tables from PDF with titles.
Matched tables based on titles and compared them.
Generated dynamic HTML of this comparison results.
Python camelot
Tesseract
Bootstrap
FuzzyWuzy
Pandas

Personal Projects, sorted in order of importance:

Project Skill Experiences Language Tools and Techs
markdown2docx Automation Successfully created Markdown parser in Golang
Used Regex to match Markdown syntax
Go Regex
Unioffice
Will Sh3 B33 Shallow Learning, Deep Learning, NLP Trained 2 shallow models on OkCupid data.
Traind a deep model on OkCupid data.
Fine-tuned BERT on OkCupid essays.
Created a backend, a frontend, and deployed the model on a Docker container.
Python Tensrofflow and Keras
Scikit-Learn
Docker
Ubuntu
BERT and BERT Tokenizer
Bedlam Noise Apparatus Adobe After Effects Plugin Successfully used Adobe After Effects API, OpenGL and GLSL to create a plugin that creates six types of noise. C++, GLSL OpenGL
After Effects API
Mongoose Jumblator Encryption Successfully made a Mongoose plugin which encrypts MongoDB entries and decrypts them back.
Did successful unit tests.
TypeScript Lodash
Mongoose
Crypto-JS
Chai
Mocha
The ML Codex Education Wrote a few chapters of a book using LaTeX about implementing custom Machine Learning algorithms. LaTeX Diction
English
Fluid Language
Helpfulnesss
LaTeX skills
Syren Digital Signage CRUD Successfully created a digital signage backend with Kotlin. Kotlin Spring Framework
Mathcord Automation, Cryptography A Discord bot that uses Shunting Yard to calculate mathematical expressions, with SHA-512 and ED25519 built from scratch Go Only Go Standard Library

Note: Most of these projects, personal or commercial, if open-source, can be found in my Github. Find the link in the resume header.

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Additional Info

Inflation of the host country is applicable in fees.

Please inform me through other means if you use the Atazir email.

Last Updated: 10/02/2022 (dd/mm/yyyy)