Vertex Motion Labs

As an experienced Data Scientist and Machine Learning Engineer, I possess a strong command of programming languages and tools necessary for tackling complex problems in various domains. My expertise spans Computer Vision, Natural Language Processing, Automatic Sound Recognition, Sound Separation, and Computational Journalism. I have successfully implemented numerous scientific papers and have been an integral part of diverse projects, showcasing my ability to apply advanced data science and machine learning techniques to real-world challenges.

My mastery of the entire data science pipeline enables me to efficiently work through each project stage, from identifying the right questions to publishing reproducible results and reports. With experience in Deep Networks Applications, such as object classification, text recognition (OCR), and object fine-recognition, I bring valuable insights and cutting-edge solutions to any team.

𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀:

Programming Languages: C/C++, Assembly, C#, Java, SQL, XML, UML, Mathematica, Pascal, Ada, Prolog, Lisp, React.js, Next.js, JavaScript, Ruby on Rail
Data Science: Python, R, Scala, NetLogo, MatLab
Machine Learning & Big Data: Apache Hadoop, Spark, Keras, TensorFlow, VLFeat, Gensim, Scikit-Learn, OpenCV, AWS, Google Cloud Platform
Software/Tools: Git, JetBrains' IDEs, MS Visual Studio, MS Visual Studio Code, MS Blend, Eclipse, Azure, Linux, AWS EC2, S3 Bucket, Lambda
Data Science Pipeline Mastery:

𝗜 𝗮𝗺 𝗽𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲, 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴:

Asking the right questions
Collecting and preparing data
Conducting exploratory data analysis
Selecting the appropriate machine learning/deep learning method
Optimizing and tuning results
Making inferences and predicting new outcomes
Creating insightful visualizations and products
Publishing reproducible results and reports

𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:

Computer Vision
Natural Language Processing
Large Language Model, LLM, e.g., ChatGPT, CodeX
Automatic Sound Recognition
Sound Separation
Computational Journalism
Deep Networks Applications Experience:
Object classification, detection, and localization
Text detection and recognition (OCR)
Object fine-recognition (subcategories, models, categories, parts, etc.)