Andrew Bonello
I used to work at Google and DreamWorks Animation as a senior software engineer.
My strengths are computer-vision, image-processing, parallel architectures, natural language processing, recommendation engines and data science.
I love to try and understand coding problems, enigmas and conundrums to help you out, getting your code running and your tests passing again!
Please reach out to me for Golang, C++, Python and Java projects.
REVIEWS FROM CLIENTS
Built movie recommendations engine on Amazon Web Services Elastic Compute Cloud. For target movie, computes ranked list of similar mov...
Built movie recommendations engine on Amazon Web Services Elastic Compute Cloud. For target movie, computes ranked list of similar movies, showing genre/keyword-matches. Natural-Language Processing backend. Fully responsive front-end website (Bootstrap, Javascript) and Power Search interface. Database ingest using online datasets (imdb.com, themoviedb.org). Word2Vec synonyms, Stanford Part Of Speech, Remote Procedure Calls, goroutines. Source-code management, SEO, user on-boarding and support, logs analysis. Unit-testing and test-driven development. Writer of FilmTagger reviews and podcast.
Lead-Generation & Social-Media Monitoring on Twitter. Runs on Amazon Web Services Elastic Compute Cloud. Qureet finds new customer...
Lead-Generation & Social-Media Monitoring on Twitter. Runs on Amazon Web Services Elastic Compute Cloud. Qureet finds new customers for SMBs. It learns SMB's products/services, monitors Twitter, then sends the SMB real-time alerts tweeps ask for similar products. Natural-Language Processing & Artificial-Intelligence backend. Fully responsive web frontend (Bootstrap, Javascript). Event-tracking & analytics pipeline for each user.
“Search and Recommendations” Engineer in Online Help Team. Developed help web-pages for all Google products. Deployed “Dynamic Ranking...
“Search and Recommendations” Engineer in Online Help Team. Developed help web-pages for all Google products. Deployed “Dynamic Ranking Inference Module” to sample, rank and order help-article recommendations using aggregated user click-throughs. Latent Semantic Analysis. Analyzed Google.com logs in Sawzall to discover 3rd-party help content. Participated in code reviews, C++ and Java Readability, technical job interviews and Noogler Mentoring program.