Harel Wilner

NLP Developer and Prompt Engineer at Ti-Space Career Accelerator
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Contact Information
us****@****om
(386) 825-5501
Location
Israel, IL
Languages
  • Hebrew Native or bilingual proficiency
  • English Full professional proficiency

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Nov, 2021
    - Nov, 2024
  • DSP-IP Deep Learning Bootcamp
    DSP-IP
    Jan, 2021
    - Nov, 2024
  • Natural Language Processing Specialization
    Coursera
  • Natural Language Processing (NLP) in Python with 8 Projects
    Udemy

Experience

    • Israel
    • Technical and Vocational Training
    • 1 - 100 Employee
    • NLP Developer and Prompt Engineer
      • 2023 - Present

      TiSpace is a leading career accelerator combine advanced technology and tailored skills to reach career goals in record time. As a researcher, I developing algorithms using various technologies and tools for NLP, ML, and DP. I developed several algorithms using the NLTK with Python and Word2Vec to analyze and match job descriptions and candidate resumes to improve the hiring process for both sides. Implement named entity recognition (NER) and sentiment analysis has also been instrumental in developing algorithms that accurately identify and match candidates based on their skills. I building NN on TensorFlow for predicting candidate-job fit and optimizing job recommendations. Using transfer learning and prompt technique to calibrate LLM Transformer for the task Show less

    • Israel
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Associate Researcher R&D and algorithm development teams
      • 2021 - 2022

      RespirationScan is a startup company which research a way to identify an infection. As a researcher on the algorithm development team, I worked on studying the growth curve and release of metabolites from different bacteria using unsupervised learning. we received a Madhan Rashi Grant I worked with Python and Azure to develop the algorithms. I managed logistics and expenses of the company, in addition, wrote SOPs and protocols for the lab. RespirationScan is a startup company which research a way to identify an infection. As a researcher on the algorithm development team, I worked on studying the growth curve and release of metabolites from different bacteria using unsupervised learning. we received a Madhan Rashi Grant I worked with Python and Azure to develop the algorithms. I managed logistics and expenses of the company, in addition, wrote SOPs and protocols for the lab.

    • Israel
    • Software Development
    • 1 - 100 Employee
    • DSP-IP Deep Learning Bootcamp and Internship
      • 2021 - 2022

      During my 6-month internship, I worked extensively with cutting-edge technologies in computer vision while handling client data. My responsibilities included preprocessing and cleaning large datasets, developing and implementing advanced computer vision algorithms (YOLO, Faster R-CNN,MASK-CNN& U-NET), evaluating and optimizing models, and collaborating closely with the client to ensure their requirements were met. Throughout the internship, I applied my knowledge of computer vision concepts, utilized programming languages such as Python and TensorFlow, and leveraged deep learning frameworks to tackle complex problems. Working with real-world datasets allowed me to gain practical experience and effectively translate client needs into impactful solutions. Show less

    • Israel
    • Information Technology & Services
    • 100 - 200 Employee
    • Data Science Fellowship
      • Mar 2019 - Aug 2019

      During my studies I bridged the gap between my theoretical and practical knowledge, I worked in Python libraries to develop ML algorithms. I build basics of Data Mining methodologies, cleaning and handling missing information. Predict Stock Trends and generate insights from News Headlines applying sentiment analysis using. using DL and NN to analyze the importance and development through of character in books using TensorFlow and Keras. using different NLP approaches to classify short text to individuals. Show less

    • Israel
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • 2018 - 2018

      As a research assistant, I played a critical role in the successful execution of various studies. I was responsible for managing and organizing the research days, including summarizing and studying topics for my direct boss and other staff members. I also contributed to the development of new leads for studies. In addition, I utilized my skills in R and Matlab to modify and build experiments to ensure accurate and reliable results. I then analyzed the data using specialized scripts or hand-on statistics using SPSS, depending on the data type and the research question. My ability to consider the research question and the manner in which the data was acquired allowed me to provide insightful analysis and interpretation of the results Show less

    • Graduate Research Assistant and Lab Manger
      • 2017 - 2018

      I studied the effect of HDAC inhibitors on cancer model and chemotherapy rehabilitation while managing the lab logistics, stuff and guiding exchange students, new stuff and interns. I used an unsupervised machine learning models to work on the data. Used computer vision and image processing algorithms to segment and quantifying data from medical images. Eexperiments and analysis in R, statistical and bioinformatics suits for Big Data experiments. Using statistics, enrichment (network/graph analysis) and synergy by Information theory. Show less

    • Israel
    • Higher Education
    • 700 & Above Employee
    • Graduate Research And Teaching Assistant
      • 2016 - 2017

      Worked as a teaching assistant for an advanced biochemistry course, developing lesson plans and assignments for each week, and building presentations to facilitate student learning. Conducted research in the Ruth Feldman Neural Development Lab while also working part-time, making significant progress on my thesis. Analyzed data from various sources, including questionnaires, fMRI scans, and hormone levels data, and applied statistical methods to draw meaningful conclusions. Collaborated with other researchers to modify and develop new experiments, using tools such as MATLAB and R to build scripts and analyze data. Show less

    • Israel
    • Financial Services
    • 700 & Above Employee
    • Call Center Operator: Credit Card Authorization and Security
      • 2012 - 2015

      During my undergraduate studies, I worked as a call center representative, where I was responsible for authorizing transactions and canceling or blocking lost or stolen cards. In this role, I developed strong communication skills while interacting with customers and was able to handle difficult situations with professionalism and empathy. I also gained valuable experience in problem-solving, decision-making, and attention to detail as I ensured that transactions were authorized correctly and cards were canceled or blocked promptly. Working in a fast-paced and high-pressure environment taught me the importance of time management and prioritization, skills that have proved to be valuable throughout my career. Show less

    • Israel
    • Armed Forces
    • 700 & Above Employee
    • Personnel NCO
      • 2009 - 2012

      Utilized a panel of recurring and on-demand big data queries in NoSQL databases to streamline personnel management processes. Conducted quality assurance and code reviews for new changes to the personnel-management software, ensuring accuracy and compliance with regulations. Held the position of filing officer, managing confidential records and maintaining up-to-date personnel files. Organized the first committee for conscientious retirement from service for reverse corps in ten years, providing support and guidance for those transitioning out of the military. Show less

Education

  • Bar-Ilan University
    Master of Science - MS, Biochemistry, Biophysics and Molecular Biology
    2016 - 2018
  • Bar-Ilan University
    B.Msc, Cognitive Science
    2012 - 2015

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