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Work Background
OutlierSoftware Engineer for AI Training Data (Python)
Jul. 2024United States* Evaluating the quality of AI-generated code, including human-readable summaries. * Solve coding problems, writing functional and efficient code. * Writing robust test cases to confirm code works efficiently and effectively.
UserlutionsData / Software Engineer
Jul. 2024 - Nov. 2024Berlin, GermanyResponsabilities: 1. Full-stack software development. 2. Data cleansing and processing. 3. Development of ETL systems for data analysis (from backend to frontend). 4. Architecture and implementation of cloud-based backends. 5. Optimisation of code and infrastructure for data processing. 6. Automating Data processing piplines.
seeenData / AI Engineer
Oct. 2020 - Jul. 2024Data / AI Engineer Passionate about leveraging cutting-edge technologies to extract actionable insights from audiovisual archives. 1. Projects: - Video momentization based on speech and vision models. - LLM application for video content analysis. - Video content summarization, sentiment extraction, named entity identification, and topic clustering using NLP models and technologies. - Speaker voice recognition in video and audio archives. - Face detection and recognition with gender, age, ethnicity, and sentiment extraction. - Logo detection and recognition in visual data. - Indexing and search of audiovisual data using embeddings and vector databases. - UI and APIs development for video search and key-moments management. 2. Tools and Technologies: - Proficient in Python and JavaScript, utilizing PyTorch, openCV, LLMs, NumPy, and Pandas for various CV/NLP projects. - Worked with MySQL, Redis, Milvus, and AWS RDS for efficient data management. - Expertise in AWS services (S3, SQS, Lambda, Transcribe, RDS, EC2). 3. Collaboration and Teamwork: - Integral part of a dynamic development team, with additional collaboration experience in cross-functional production teams. 4. Data Management and Curation: - Expert in curating and managing datasets, ensuring high quality for NLP projects. Implemented robust data storage solutions using MySQL, Redis, Milvus. 5. Learning and Professional Development: - Committed to continuous learning. Completed specialized courses from Stanford University on Coursera, focusing on deep learning, neural networks, and applications in NLP and Computer Vision. 6. Problem Solving and Innovation: - Optimizing code for efficiency and implementing innovative solutions to overcome software engineering challenges, conducted thorough time analyses. 7. Communication Skills: - Proficient in conveying complex technical concepts to diverse audiences, facilitating seamless collaboration between technical and non-technical stakeholders.
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