Brian Fink's Linkedin Analytics

TL;DR: I enjoy bringing people together to solve complex problems, build great products, and get things done. Brian Fink is a highly experienced recruitment professional specializing in recruitment tooling, Boolean strings, natural language search, and innovative sourcing. With a reputation as a keynote speaker at esteemed industry events such as ERE, SourceCon, TalentNet, and Recruiting Daily, he is recognized as a leader and expert in his field. Brian possesses exceptional abilities, including C-Suite recruiting and research, staffing at scale, full-cycle recruiting, and the design and implementation of national staffing strategies. His understanding of pairing hiring needs with effective recruiting strategies is exceptional, as is his proficiency in training highly effective recruiting teams. With an adeptness for increasing company brand exposure and developing innovative candidate identification methods, Brian leaves no stone unturned in finding the best talent. His strategic partnerships with hiring teams, ability to recruit passive candidates, and expertly honed interviewing skills have resulted in high offer-to-interview ratios. An advocate for diversity and inclusion, Brian has contributed to long-range growth strategies in this area, with a specific focus on raising BLNA/URM. He continually innovates in sourcing options and excels in building effective working relationships. Demonstrating strong communication, organizational, and negotiation skills, Brian effectively executes recruiting strategies, manages candidate experiences, and ensures streamlined interview processes. He takes full ownership of the recruitment experience, from the overall recruitment strategy to on-boarding and coordination. He is adept at discerning job requirements, creating job descriptions, and developing sourcing models to build a strong talent pipeline. Specializations: ► Data Science - LLM (Large Language Models), Generative AI, Python, Transformer, NLP, Deep Learning, Artificial Intelligence, Machine Learning, AI Language Generation, AI Text Generation, Conversational AI, Chatbot Development, Sentiment Analysis, Neural Networks, Computer Vision, Signal Processing ► Open Source - Ruby/Ruby on Rails, Python, Django, Flask, Perl, Scala, Go, Erlang, Haskell, Clojure, Node.js, Elixir, Clojure ► Cloud Technologies - Kubernetes (K8s/GKE/EKS/AKS), Terraform, AWS, GCP, Azure, RedHat, On-Premise Hardware ► Back-End - Java, C, C++, C#, .Net ► Front-End - HTML, CSS, JavaScript, CoffeeScript, Angular.js, Backbone.js, Ember.js, Knockout.js, jQuery, React.js