Heath Hohwald Email and Phone Number
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Heath Hohwald is a Technical Advisor - Machine Learning and Generative AI at Consensus. He possess expertise in algorithms, c++, artificial intelligence, big data, linux and 18 more skills. Colleagues describe him as "Heath was one of the best engineer and researcher I worked with at A9.com. We worked closely together on a highly visible product search project. Heath was independent, result focused, creative and dependable. Aside from the implementation details, he also came up with a few key innovations on the overall design that were instrumental to the success of the project. I would not hesitate to work with him again on any technical project.", "I worked with Heath at Telefonica Research for a little over two years. He is both a methodical and creative researcher, a combination that serves him well. We collaborated on several research projects and he was very easy to work with, full of ideas as well as a good listener of other's ideas. His engineering skills are top notch which is unusual for someone who also has a pretty deep understanding of machine learning, information retrieval and NLP theory. I would recommend him for any position that needs both research and engineering skills. Heath is a perfect fit for any position that requires someone to turn research and theory into working prototypes and production code.", and "I was the technical lead of the project Heath worked on from May to September of 2007. He and I worked closely designing and developing a large-scale, high-performance system. I found him a real pleasure to work with: he is easy-going, friendly, helpful, and he has good communication skills. Heath is also strong technically: he picked up the background for our project quickly and contributed many good ideas to its design. And his software engineering skills are excellent: he writes good code and has a good aesthetic sense."
Consensus
View- Website:
- consensus.app
- Employees:
- 37
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ConsensusSpain -
Advisor - Machine Learning, Search, Nlp, GenaiFreelance Jan 2023 - PresentProviding technical, organizational and strategic advice to teams pursuing Machine Learning and Generative AI initiatives, particularly in the search and recommendations space.With over twenty years of experience, I have helped design, build and organize a wide assortment of Machine Learning, AI, NLP and Data Science initiatives. My primary focus has been in Search and Recommendations, tackling technical and organizational challenges in many different verticals: e-commerce (Amazon), web (Google), multimedia (Shutterstock), and expert networks (Alphasights).
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Global Head, Data Science And SearchAlphasights Jan 2022 - Dec 2022London, United Kingdom, GbOverseeing the strategic planning, team building, management and technical execution of Data Science and Machine Learning projects, I helped measurably increase efficiency in the company's primary offering. Working with multiple globally distributed teams, we leveraged recent advances in search, NLP, and Machine Learning to deliver significant tech and organizational improvements. -
CtoAlphasights Jan 2018 - Dec 2021London, United Kingdom, GbJoining AlphaSights in 2018 as CTO, I partnered closely with the executive leadership and engineering teams to design and implement an impactful Tech roadmap, usher in engineering best practices, build and scale a top-notch and globally distributed team in a sustainable manner, establish a positive and productive culture, modernize the technical stack, translate business needs into Machine Learning and Data Science strategy, and increase team and company efficiency. AlphaSights is a global leader in knowledge on-demand, connecting investment and business leaders with a dynamic network of industry professionals. With 1300+ employees and nine offices across the globe, AlphaSights regularly ranks as one of the fastest-growing companies in the world. -
Director Of Search And Machine LearningShutterstock 2015 - 2017New York, Ny, UsI worked with and helped helped build an excellent team of engineers, researchers, and data scientists to deliver an industry-leading multimedia search and discovery experience. As team director I helped plot our technical strategy and worked with our product owners, technical managers, researchers and developers to deliver on our shared vision of an enjoyable and efficient search experience. -
Software Development ManagerShutterstock 2012 - 2015New York, Ny, UsInitially Software Development Manager for the Machine Learning and Algorithm team, later also for International Search and Search Platform teams. My teams and I released numerous first-in-class customer-facing products to improve the search and discovery experience.I also designed and implemented several of the core back end services for Shutterstock's search system, including a patent-pending recommendation system, language identification service, keyword recommendation service and domain and context aware translation system. -
Researcher, Data Mining And User Modeling Research GroupTelefonica Research 2008 - 2011Madrid, Es• Research in social network analysis. Developed a new method of tracing influence in word-of-mouth algorithms and a novel technique for inferring unobserved communication at the group level in social networks.• Deliver a prototype system that automatically detects and classifies in real time customer sentiment about various entities as expressed in social media. Techniques employed from statistical NLP and machine learning.• Publish research results in international conferences and workshops. -
Software Engineer, Google SearchGoogle 2007 - 2008Mountain View, Ca, Us• Member of the core search quality team, responsible for the ranking of Google search results.• Work in a small team to redesign and improve Google's spell correction system. • Used advanced techniques from machine learning (ML), statistical natural language processing (NLP), data structures and algorithms. • Build complex models from extremely large data sets and construct a system capable of responding to billions of daily requests with very low latency. -
Software Engineer, Amazon Search (A9)A9.Com 2005 - 2007Palo Alto, Ca, Us• Member of the search relevance team, responsible for improving the quality of Amazon’s product search results.• Worked with one other engineer to redesign Amazon's all-products search algorithm, a federated search algorithm powering the majority of customer searches. Led to more than $10 million estimated annual revenue increase. Contributed to both the core algorithm and architecture/implementation.• Internationalized the new all-products search algorithm and its associated infrastructure to function in all countries where Amazon operates.• Awarded a patent for a new methodology for combining search results from disparate indexes. -
Financial EngineerBlackrock 1998 - 2000New York, Ny, Us• Worked as a financial engineer and software developer to price complex derivates and help traders understand their risk exposure. • One of two initial developers for a rogue project that later became BlackRock Anser, an interactive analytics package and one of the key components of the BlackRock Solutions division.
Heath Hohwald Skills
Heath Hohwald Education Details
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Harvard UniversityApplied Mathematics -
Ucla Henry Samueli School Of Engineering And Applied ScienceComputer Science
Frequently Asked Questions about Heath Hohwald
What company does Heath Hohwald work for?
Heath Hohwald works for Consensus
What is Heath Hohwald's role at the current company?
Heath Hohwald's current role is Technical Advisor - Machine Learning and Generative AI.
What is Heath Hohwald's email address?
Heath Hohwald's email address is he****@****hts.com
What is Heath Hohwald's direct phone number?
Heath Hohwald's direct phone number is +160840*****
What schools did Heath Hohwald attend?
Heath Hohwald attended Harvard University, Ucla Henry Samueli School Of Engineering And Applied Science.
What skills is Heath Hohwald known for?
Heath Hohwald has skills like Algorithms, C++, Artificial Intelligence, Big Data, Linux, Natural Language Processing, Machine Learning, Distributed Systems, Data Mining, Mapreduce, Information Retrieval, Software Engineering.
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