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Lazar K.
Chicago, IL
100% Job Success

ML Software Engineer, Generative AI, Data Scientist, NLP, SEO

Top rated is top 10%, but apparently I am top 1% on Upwork based on email I got from them. "Congrats on being in the top 1% of talent on Upwork! " ______________________________________________________________________________ Update: I recently published CollabNext code for NSF supported hackathon. I am a software engineer with 20 years of professional experience and several years of scientific multidisciplinary research experience which involved data analysis from various domains, from physics to cardiology. I am an expert in web information retrieval, web crawling and scraping, data normalization, data science applications, structuring unstructured data, fuzzy matching csv and json data, text analysis. My main areas of expertise are: Python, PHP, JAVA, MySQL, PostgreSQL, SOLR, Machine Learning areas like Natural Language Processing, Data Mining, Recommendation Systems, Document Classification. Last few years I have been working with vector stores, RAG, GPT3.5, GPT-4, etc. I have rich experience in both writing functional scripts and system architecture design. See my portfolio below for a selection of projects I worked on. Over the last ten years I have developed hundreds of scraping scripts/applications and several custom topical search engines, including news search based on perspectives, recipe search for ingredients in the fridge and health conditions, IT job search for easy team building with complementary skills, dating and match-making website, etc. By learning about IR, I got good at SEO. And vice versa, by experimenting, reading papers and patents from Google, Yahoo, Microsoft, etc, optimizing dozens of websites, through SEO I learned a bit about IR as well :) I do SEO audit where I focus on crucial issues and changes with most impact and ROI. I brought several websites from 0 to 100k+ visits per month with on-page SEO and very little or no off-page SEO. In my keyword research I use six tools made by Google or based on Google data, three tools I developed (two using machine learning), and several other well know keyword tools. However, I do not overwhelm you with thousands of phrases found, but select only the top ones most useful for increasing rankings of your particular site based on its current SERP rankings. For the NetflixPrize competition I independently came up with a common sense approach to collaborative filtering, named by others 'Slope One'. I combine my algorithms and open source packages and add a bit of my own twist to them to solve the problems I encounter. In the spare time I work on researching and developing educational software and collaboration tools, and participate on specialized conferences with such inspiring people like collaborators of the late inventor of "The Mother of All Demos". My first web project was a graph based discussion forum for brainstorming, first one of the kind and, to the extent of my knowledge, dozen years later still the only one. Have done work with Multi Agent Simulations, and the emergence of complex patterns from simple behavior changes, including virus spreading. In addition to widely known ML / numeric libraries (NLTK, Scikit, NumPy, Gensim, etc.) I also use less known and proprietary NLP / ML packages. I can also help with cloud APIs like IBM Watson Natural Language Understanding.
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Skills

  • Python Scikit-Learn
  • SEO Keyword Research
  • Search Engine Optimization
  • PostgreSQL
  • Gensim

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