Passionate data scientist and machine learning engineer with a Master's degree in Computer Science. My expertise lies in developing cutting-edge machine learning models, especially for biomedical applications, leveraging diverse datasets to drive impactful solutions. Experienced in advanced techniques, including deep learning, I thrive in multi-disciplinary environments and have a proven track record of delivering robust and innovative results. Combining over a year of hands-on tech industry experience with a master's degree in computer science, specializing in computational biology, I offer a robust skill set tailored for professional environments. My academic focus in computational biology exposed me to diverse biomedical data, refining my skills in data science, machine learning, and interdisciplinary collaboration. With a profound interest in research and software development, I am committed to pushing the boundaries of what AI can achieve. My journey reflects not only technical proficiency but also a passion for contributing to impactful solutions. I am always open to networking and collaboration opportunities. Let's connect and explore how we can collectively contribute to the ever-evolving landscape of AI and machine learning.
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Machine Learning EngineerBearmind Apr 2024 - Sep 2024Lausanne, Vaud, SwitzerlandAt Bearmind, I contributed to developing a robust speech recognition pipeline to automate a multi-language dual-task test in sports applications. My role focused on ensuring high transcription accuracy, improving the system’s robustness, and managing data flow across platforms.Pipeline Development: Designed an ASR pipeline for multi-language tasks, with targeted post-processing algorithms that boosted transcription accuracy by 40%.Quality Control: Developed methods for automatic audio quality assessment, achieving an 86% accuracy rate in identifying problematic files for manual review.Deployment and Orchestration: Deployed the ASR model to production on AWS EC2, integrating Dagster for seamless pipeline orchestration and data updates.Collaboration: Partnered with the back-end team to ensure data synchronization, storing output data in AWS S3 for scalable access.This position strengthened my ability to design end-to-end machine learning solutions in dynamic settings, leveraging Python, AWS, and Dagster to build efficient and scalable systems. -
Valorisation Master | Machine Learning EngineerEpfl School Of Life Sciences Apr 2023 - Dec 2023Lausanne, Vaud, SwitzerlandAdvanced Machine Learning: Developed cutting-edge machine learning techniques to automate yeast microscopy movie analysis, gaining proficiency in deep learning, software development, and data science.Multi-Disciplinary Collaboration: Collaborated in the Laboratory of Physics and Biological Systems (LPBS), effectively communicating across diverse teams to provide tailored solutions for complex challenges.Python GUI Development: Contributed significantly to a Python GUI application, automating yeast cell segmentation, tracking, and lineage tracing.Image Analysis: Applied machine learning and image analysis to enhance segmentation and lineage tracing accuracy in microscopical image time series.Graph Neural Networks: Utilized graph neural networks for precise cell tracking, achieving exceptional results in research contributing to groundbreaking initiatives. -
Master Thesis Project | Computational Biology | Research (Epfl & Sharif University Of Technology)École Polytechnique Fédérale De Lausanne Sep 2022 - Feb 2023SwitzerlandPioneering Deep Learning Research: Conducted pioneering research in deep learning, leveraging advanced techniques to predict drug synergy for individual cancer cell lines. Notably, improved model accuracy by 4% compared to previous models.Multi-Omics Data Processing: Expertly processed large-scale multi-omics data from cell lines, significantly enhancing data quality and ensuring robust results.Data Visualization Expertise: Leveraged advanced data visualization techniques to extract actionable insights from complex datasets, demonstrating proficiency in data-driven decision-making.Personalized Drug Combinations: Developed personalized drug combination strategies for individual cell lines, showcasing innovation at the intersection of AI and healthcare.Cluster Computing: Utilized cluster computing for efficient machine learning model training and data-intensive tasks, demonstrating strong technical skills in data science and computing.This thesis project reflects my commitment to innovation and passion for applying AI to real-world challenges, while also highlighting my expertise in deep learning, data processing, and cluster computing. -
React-Native Mobile Developer | Software Engineering | Dynamic Tech CompanyHamravesh Nov 2017 - Feb 2019Tehran, IranReact-Native Expertise: Proficient in developing mobile apps with React-Native, showcasing cross-platform development skills.Coding Best Practices: Managed Git version control and enforced coding standards through regular reviews, ensuring product quality.End-to-End Solutions: Collaborated with design and back-end teams for comprehensive IT solutions, integrating APIs for enhanced functionality.Rapid Development & Customization: Developed a fully functional messenger app in two months, demonstrating agility and technical skill. Created customizable ordering and delivery apps for online businesses.Automation & Infrastructure: Implemented VMware cluster creation with Anibis, streamlining complex IT environments. Efficiently managed testing and deployment using GitLab CI/CD.This role allowed me to gain invaluable experience in a variety of technologies and soft skills crucial for a successful career in software engineering, including React-Native, Git, and software engineering principles.
Farzaneh Labbaf Education Details
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Bioinformatics -
Computer Engineering
Frequently Asked Questions about Farzaneh Labbaf
What is Farzaneh Labbaf's role at the current company?
Farzaneh Labbaf's current role is Machine Learning Software Engineer.
What schools did Farzaneh Labbaf attend?
Farzaneh Labbaf attended Sharif University Of Technology, Sharif University Of Technology.
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