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I'm Matei, a full-stack developer with over 10 years of experience, specializing in JavaScript, React, and Node.js. I help developers at all levels overcome challenges, from debugging complex issues to understanding core concepts. My approach is patient and tailored to your needs, ensuring you gain confidence and clarity in your coding journey. Format: - regular (long term) or one-time - for any level (beginner/intermediate/advanced) - 45-90min sessions, up to 6hrs on request - personalized take-home tasks & resources Availability: - until Jul 15: 4:00-6:00, 15:00-18:00 UTC - after Jul 15: 4:00-18:00 UTC - last minute or late night sessions on request (email matei@copot.eu) Technologies: - JavaScript: ESNext, NodeJS/Deno, TypeScript, React, Vue, NodeMCU, & more - Front-end Web Dev: HTML5, CSS3, responsive design, PWAs, SPAs, & more - Back-end Web Dev: Express/NextJS APIs, Python, AWS, Docker, SQL, PHP, & more - App Dev: Mac/Linux & Android, Electron, Expo, Python, Stripe, UX, & more - others: always curious about other technologies, e.g. haskell, ruby, WASM, WebGL... = Why me? I'm typically paid €100/hr by top companies, so the lower rate here means you're getting top-tier expertise at an accessible price. I enjoy mentoring because it brings variety and a more collaborative and relaxed dynamic. I have a proven track record of guiding learners from zero experience to landing high-paying jobs. My teaching adapts to your pace and goals — you'll always get honest, actionable advice, including what’s realistic and what’s not. If you're serious about growing your skills or career in tech, I’d be glad to support your journey.
From Chicago, completed MSc in Data Science 6 years ago in Scotland. Hobbies include sports, data, and programming. I am at an intermediate level of coding in Python and have mentored various python beginners that I have met through Facebook groups, StackOverflow, junior Data Scientists on my team, and new MSc Data Science students . I work with many of the machine learning packages in Python such as scikit learn, keras, TensorFlow, various python visualizations, NLP, computer Vision, etc. Alot of what I like to do in my spare time is collect data via web scraping techniques, or with automated browsers, to utilize in machine learning workflows. I have three philosophies: 1) First just get it to work, THEN if need be, get it to work fast. 2) Don't try to boil the ocean (don't try to solve an entire problem on first go, break it up into smaller simpler tasks, then you can embellish and add on. 3) You don't need to memorize everything, but you should be able to be resourceful enough and look it up/Google it. Find examples or tutorials that exemplify what you are trying to do, or the issue you are having, and adapt it to your personal needs. Lastly, here is a video of a talk I gave at conference describing my MSc project. https://www.youtube.com/watch?v=Z3rbo3WoMME
A dynamic professional with demonstrated skills in delivering advanced analytics solutions to the Retail Industry. Have good experience in understanding retail business problems by working with business stakeholders and driving analytics solutions to meet the expected outcome using ML algorithms. I am an Analytics Specialist for the insights and Intelligence team at Accenture, providing solutions to various retail use cases like Customer Segmentation, Demand Forecasting, Sales Driver Analysis, and Competitor Analysis.
Hi, I'm Lanre! I'm a **full-stack developer** specializing in **JavaScript**, **PHP**, **Python**, **React**, **Next.js**, **Laravel**, **SQL**, and **Node.js**..
As an expert Software Engineer, I specialize in creating efficient and robust solutions. My expertise extends to advanced web scraping, including handling JavaScript-heavy websites while avoiding reCAPTCHA and IP blocking. With a focus on delivering data in formats like CSV, Excel, and Word, I also offer data cleanup services and database management using MySQL, PostgreSQL, and MongoDB. I take pride in building responsive websites, ensuring they are fluid across all screen sizes. With flexible working hours, I am dedicated to meeting the needs of my clients and ensuring their satisfaction.
Data Engineer/Python Developer currently working for a Series A Startup building out ETL pipelines with AWS Lambda/Python and ingesting into PostgreSQL and Snowflake. Experienced in building ETL pipelines, web scraping, data engineering, DevOps and AWS.
I'm a Senior NLP Engineer with over 4+ years of experience in chatbot and Python development. I have experience deploying multiple NLP products in production using CI-CD. I have more than 2+ years of experience in system designing for NLP products. I have experience with various NLP frameworks such as NLTK, spacy, and TensorFlow, Vector Database, Falcon LLM, Langchain, Flowise, Pinecone, Milvus, Chat GPT, Open AI.
I'm a Python developer with experience in (full stack) web app development. I also have expertise in GNU/Linux internals and utilities. - [My StackExchange profile](https://stackexchange.com/users/2936584/heemayl?tab=accounts) - [My blog](https://heemayl.net)
I'm a full stack software engineer, technical writer and computer science educator. I enjoy testing, debugging, refactoring, application design, maintaining projects and teaching. My primary technologies are JavaScript, React, Express (PERN stack), Playwright, Puppeteer, Python, Flask and C. See my [Stack Overflow tags](https://stackoverflow.com/users/6243352/ggorlen?tab=tags) for more technologies ordered roughly by my interest and experience. In addition to Stack Overflow, I'm active on [Code Review Stack Exchange](https://codereview.stackexchange.com/users/171065/ggorlen). Feel free to peek at a few of these reviews to get a sense of the insights I can offer your code. For further information, visit my [Codementor FAQ](https://ggorlen.glitch.me/codementor). I'm looking forward to hearing about your project! _<sub>Profile picture by the wonderful [Emily Huston](https://emilyhuston.github.io) ❤️</sub>_
Sanyam Khurana, an Open Source contributor who predominantly goes by the moniker "CuriousLearner," achieved summa cum laude distinction upon obtaining a Master's degree in Computer Science from the Georgia Institute of Technology, specializing in Machine Learning and Interactive Intelligence. He is also an AWS certified Solutions Architect. Sanyam has demonstrated an unwavering commitment to the Open Source community, having served as a GSoC mentor for Debian and an individual member of the Django Software Foundation (DSF). His GitHub profile (https://github.com/CuriousLearner/) is filled with evidence of his contributions to numerous upstream projects. He has delivered presentations at a variety of international conferences, including PyCon Australia (https://www.youtube.com/watch?v=go7JklZRtrs) and DjangoCon US (https://www.youtube.com/watch?v=aiZ_1gsS4F8). Sanyam's work has also been instrumental in maintaining and improving CPython, Python's interpreter, as a dedicated bug triager who actively contributes patches upstream. He has also contributed various patches and bug reports upstream to Mozilla Organization's Gecko Engine, in addition to maintaining several upstream projects across different organizations. As a vouched Mozillian, Sanyam has earned the distinction of being an official representative of Mozilla, and his contributions have been recognized in the AUTHORS and credits sections of every browser ever released by Mozilla. He served as a mentor for PyDSA during RGSoC 2017.
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