As an AI Engineer with a focus on Natural Language Processing (LLMs and generative AI, BERT, CNNs, DNNs, LSTMs, word embeddings), I've worked on production-level systems to deliver AI responses through voice and text chatbots in the fintech space. With over 3 years of experience in machine learning and natural language processing, I have designed and developed multiple in-house tools to improve chatbot quality and performance, as well as colleagues' productivity. I am a US citizen.My passion for conversational AI stems from my academic background in computer science and linguistics, as well as my previous roles as a machine learning research assistant and intern. I have contributed to several research projects and publications on topics such as explainable AI for audio classification, propaganda detection, and vision-based similarity. I enjoy applying my skills and knowledge to create innovative and user-friendly solutions that enhance human-computer interaction.
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Ai EngineerWorkmate LabsNew York, Ny, Us
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Ai EngineerBrainpop Apr 2024 - PresentNew York, New York, United StatesAI Engineer, Teacher ExperienceOwner and maintainer of the AI-assisted grading system for BrainPOP Science -
Ai Engineer | Natural Language Processing And LlmsPosh May 2022 - Sep 2023New York, New York, United States- Worked on production-level systems to return AI responses through voice and text chatbots at scale- Designed and developed multiple in-house machine learning tools to improve banking chatbot quality- Performed fine-tuning and testing of business-critical conversational artificial intelligence models, as well as the maintenance of training corpora -
Machine Learning Research EngineerTübingen Ai Center Jan 2021 - Sep 2021Tübingen, Baden-Württemberg, Germany- Designed and implemented end-to-end ML pipelines for both technical and non-technical stakeholders- Created the Flask and Javascript-based ViSpa (Vision Spaces) web tool to provide computer vision-based comparisons of word embeddings and images. The ViSpa system was empirically evaluated in a series of large-scale studies. See publication below.- Built a Node.js-based corpus annotation interface for the Explainable Machine Learning Group headed by Prof. Zeynep Akata, provided annotations for new video dataset -
Machine Learning Engineer | Recommender SystemsIbm Jul 2020 - Dec 2020Stuttgart, Baden-Württemberg, Germany- Improved mainframe operator efficiency by implementing a machine learning-based recommendation system REST API using Python, Flask, Docker. Worked also with Node.js, bash, and mainframe technologies. - Full-time, six month contract role at IBM's main Research and Development hub in Germany. -
Machine Learning Research EngineerTübingen Ai Center Dec 2019 - Jul 2020Tübingen Area, GermanyExplored the intersection of NLP and self-driving cars using python, CARLA simulator, computer visionUnder the supervision of Dr. Zeynep Akata at the Machine Learning Cluster of Excellence funded by the German Research Foundation (DFG)
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Nlp Intern | EdtechAurora: Ai-Assisted Assessments Aug 2019 - Sep 2019Remote, SingaporeDeveloped machine learning-based tool for automatic question generation from K-12 educational texts using Python, BERT, Flask, AWS at Singapore-based start-up
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Data AnalystMaritime Deck Pros Jan 2019 - Jun 2019New York, New York, United StatesManaged product database for marine equipment companyUtilized sales history data to generate marketing insights and drive sales
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Quantitative Linguistics Research AssistantUniversity Of Tübingen Aug 2017 - Aug 2018Tübingen Area, Germany- Developed a deep learning system for automatic phone/segment recognition in German using Python, Keras, Tensorflow, R- Built an out of vocabulary (OOV) and spelling suggestion tool in online workbook for English learners using Java, GWT, UIMA, DKPro, Maven- Curated Karl Eberhards Corpus of Spontaneously Spoken Southern German- Organized and hosted dozens of student recording sessions at University Linguistics Lab -
Data Analytics InternThe Equity Project (Tep) Charter School May 2016 - Jul 2016New York, New York, United States- Managed student records and supplies records in Excel- Helped to hire new office secretary using Greenhouse- Negotiated new school bus contract -
English Foreign Language TeacherItalki Mar 2013 - Sep 2014Kraków Area, Polandtaught hundreds of conversational English lessons in clients' homes or via Italki.com and Skype; stellar reviews and high client loyalty
Sam Tureski Education Details
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Computer Software Engineering
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Computer Science And Linguistics
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129 Ects Credits In Computer Science, Linguistics, And German -
Honors Regents Diploma
Frequently Asked Questions about Sam Tureski
What company does Sam Tureski work for?
Sam Tureski works for Workmate Labs
What is Sam Tureski's role at the current company?
Sam Tureski's current role is AI Engineer.
What schools did Sam Tureski attend?
Sam Tureski attended University Of Tübingen, University Of Tübingen, Trinity College Dublin, Bronx High School Of Science, Stuyvesant High School.
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