At Sagitta, we are on a mission to facilitate business transformation through software solutions.Whether you're looking for an impactful web presence, seeking strategic product development, or ready to embrace AI and big data, we are committed to delivering results, connecting innovation with efficiency, to achieve your objectives.

Created and implemented a new postgraduate course focused on developing end-to-end Machine Learning systems, covering the entire ML lifecycle from conception to deployment and ongoing adaptation in production.

Technically led the Center of Excellence of the Data Science team, setting best practice guidelines, building MLOps infrastructure, and supporting all projects to productionize Machine Learning systems at publicly listed (r)ecommerce US company.• Built on top of existing infrastructure to streamline productionizing ML models.• Set guidelines and best practices for all Data Science teams.• Supported Data Science team members implementing MLOps in their projects.• Led periodic… Show more Technically led the Center of Excellence of the Data Science team, setting best practice guidelines, building MLOps infrastructure, and supporting all projects to productionize Machine Learning systems at publicly listed (r)ecommerce US company.• Built on top of existing infrastructure to streamline productionizing ML models.• Set guidelines and best practices for all Data Science teams.• Supported Data Science team members implementing MLOps in their projects.• Led periodic MLOps forum to foster discussion among Data Science team members to understand the team’s needs, redefine problems, and share new guidelines and tooling.• Implemented a generic model serving fast-track to streamline model endpoint creation for online inference separating concerns between MLOps & Data Science work.• Designed and implemented base ML pipelines for orchestrating common training and deployment workflows to be customized by each project for their specific use cases.• Integrated Apache Beam into TFX pipelines to enable users to run embarrassingly parallel tasks on Dataflow within their Vertex pipelines workflows.• Defined and implemented python dependency management guidelines to accommodate public and private packages across all projects using poetry.• Redesigned and refactored our main tooling to decouple external MLOps services from our main logic to facilitate modifiability and extension of our tooling solution.• Implemented infrastructure policies saving $$$ each month.• Wrote & maintained tooling and guidelines documentation. Show less

Led the implementation of ML projects, including NLP and CV, from research and data gathering, to cloud and on-premise deployment.Main industries I’ve worked in:🛍️💻 Fashion retail & e-commerceBuilt MLOps infrastructure for all Data Science Projects to productionize ML systems in the cloud impacting tens of millions of users, directly impacting business by saving and generating millions of dollars per year.Technically led the Center of Excellence of the Data… Show more Led the implementation of ML projects, including NLP and CV, from research and data gathering, to cloud and on-premise deployment.Main industries I’ve worked in:🛍️💻 Fashion retail & e-commerceBuilt MLOps infrastructure for all Data Science Projects to productionize ML systems in the cloud impacting tens of millions of users, directly impacting business by saving and generating millions of dollars per year.Technically led the Center of Excellence of the Data Science team, setting best practice guidelines. Skills & Stack: Machine Learning, MLOps, Software Design, CI/CD, Python, Git, Github Actions, Docker, Kubeflow, TFX, Beam, Google Cloud Platform (GCP)🛡️💼 Audit defenseDeveloped end-to-end Computer Vision and NLP systems for process automation, QC, and for multi-label and multi-class classification deployed on-premises.Skills & Stack: ML, Deep Learning, NLP, Computer Vision, pytorch, scikit-learn, OpenCV, Spacy, pandas, FastAPI, Docker🏠🤝🔒🛒 Real Estate, Security, Community Management & others.Provided advice and guided team members as Technical Advisor on MLOps, NLP projects covering NER, topic modeling, and log anomaly detection.• Mentored junior employees, offering both general guidance and specialized support in NLP. Assisted with onboarding to support smooth integration and cultivate a collaborative work environment. • Participated in internal commercial initiatives to grow existing accounts and convert new clients. Show less

Productionized ML systems in the cloud, set guidelines and principles, and built MLOps infrastructure for all Data Science Projects at publicly listed (r)ecommerce US company.• Worked on custom TFX components and pipelines with generic behavior to be used out of the box by Data Science teams• Implemented microservices to resolve common problems across ML projects• Extended CI/CD pipeline with GAs building Docker images for all ML teams to easily spin up Vertex AI Workbench… Show more Productionized ML systems in the cloud, set guidelines and principles, and built MLOps infrastructure for all Data Science Projects at publicly listed (r)ecommerce US company.• Worked on custom TFX components and pipelines with generic behavior to be used out of the box by Data Science teams• Implemented microservices to resolve common problems across ML projects• Extended CI/CD pipeline with GAs building Docker images for all ML teams to easily spin up Vertex AI Workbench Jupyter Notebooks with common dependencies with our tooling preinstalled.• Implemented private PYPI and extended our CI/CD pipeline to automatically publish our tooling python package.• Standardized and simplified python dependency locking for all Data Science projects with Docker and pip-tools.• Built internal monitoring and dashboards for our experiment tracking and user support metrics.• Wrote & maintained tooling and guidelines documentation. Show less

Tsinghua NetMan Lab - AIOps.AIOps researches how to integrate advanced AI & ML techniques into IT operations workflows, enabling autonomous analysis of data to manage and enhance the performance and availability of IT systems. My research focused on anomaly detection and summarization of system logs. Also, systems risk identification, which included gray failure detection and failure prediction.

Remote position focused on the Americas and European regions.Advised potential and existing customers on all Scrapinghub services and products.Customers ranged from individuals to c-level executives from small startups to even 500 fortune companies within a wide range of verticals such as financial, recruitment, social & marketing intelligence and technology.Best performer of the sales team in 2017 with over $1.4M in ACV.

Helped users to resolve technical issues related to Scrapinghub's platform while providing feedback to the platform team.

Freelance CG artist working with 3ds Max and Photoshop. Specialized in architectural visualisations and varied small-scale projects.My work available at Turbosquid: https://www.turbosquid.com/Search/Artists/QueiZeR