ID:82808さん
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キャリアビジョン
My goal is to lead the responsible use of technology, data, and AI to drive long‑term business value. I seek technology leadership roles bridging strategy and execution, building scalable teams and solutions, and am motivated to work and live in Japan.
I am drawn to environments that emphasize long‑term thinking, quality, and responsible use of technology, which strongly aligns with my professional values and Japan’s business culture. I am motivated to work and live in Japan long term, contributing my international experience while integrating into the local organization. Specifically, I aim to take on a senior technology leadership role where I can define and execute technology, data, and AI strategy, build scalable and well‑governed platforms, mentor strong local teams, and translate advanced technologies into practical solutions that deliver sustainable business impact.
プロジェクト経験
2024年/2年以内
Enterprise-wide AI and GenAI transformation programs
プロジェクトカテゴリ：業務システム / その他
担当工程
経験した職種・役割
あなたが実際に使っていた技術
Led enterprise wide AI and GenAI transformation programs in regulated, global operating environments by designing and implementing end to end AI operating models. Established AI governance frameworks covering model validation, risk classification, documentation, and audit readiness aligned with GxP, ISO 27001, and GDPR requirements. Built GenAI use cases such as internal knowledge and document retrieval using LLMs with RAG architectures to make regulated content searchable and traceable. Defined cloud and data architecture using Azure and Databricks for secure data ingestion, feature preparation, and scalable model deployment, with MLflow based tracking for model versioning and reproducibility. Advised executive leadership on AI and cloud strategy, vendor selection, and operating model trade offs, delivering over €8M in measurable business impact and 30–45% efficiency gains through workflow automation and decision support solutions.
2021年/2年以上
AI analytics for global FMCG clients
プロジェクトカテゴリ：業務システム / 受託開発 / その他
担当工程
経験した職種・役割
あなたが実際に使っていた技術
Led AI driven analytics initiatives for global FMCG clients by designing end to end data and modeling workflows to optimize marketing spend, investment allocation, and overall P&L performance across multiple regions. Used Databricks and cloud data platforms to ingest, clean, and harmonize large scale commercial, sales, and media datasets, and implemented feature engineering pipelines to support predictive and prescriptive models. Developed and evaluated machine learning models for demand forecasting, media mix optimization, and scenario simulation, with performance tracked through standardized KPI and ROI attribution frameworks. Supported production deployment through automated data refresh, model retraining cycles, and quality monitoring to ensure consistency across markets. Acted as senior consultant and trusted partner to C level stakeholders, translating model outputs into actionable business recommendations and delivering sustained business impact exceeding $10M in ROI.
2016年/2年以上
Integrated multi-omics and imaging AI pipelines for oncology
プロジェクトカテゴリ：業務システム / その他
担当工程
経験した職種・役割
あなたが実際に使っていた技術
Built and led the development of integrated multi omics and imaging AI pipelines to support translational oncology research and precision medicine use cases. Designed data infrastructure and preprocessing workflows to ingest, quality control, and normalize genomics, proteomics, and lipidomics data alongside medical imaging features. Used Databricks based pipelines for feature engineering and cohort construction, and developed machine learning models to integrate molecular and imaging signals for patient stratification, achieving 85% accuracy across validation cohorts. Applied advanced statistical modeling and model evaluation procedures to identify clinically relevant lipid biomarkers, contributing to the discovery of six biomarkers associated with hepatocellular carcinoma. Ensured reproducibility and traceability of analyses through standardized pipelines, versioned datasets, and documented validation steps, enabling downstream clinical collaboration and data driven decision making in precision oncology programs.
2014年/2年以上
Medical imaging AI models for precision diagnostics
プロジェクトカテゴリ：業務システム / その他
担当工程
経験した職種・役割
あなたが実際に使っていた技術
Developed and deployed advanced medical imaging AI models using machine learning and computer vision to enhance diagnostic workflows in regulated healthcare environments. Designed data pipelines to preprocess and standardize large scale imaging datasets, and engineered imaging features to support supervised learning models for detection and classification tasks. Trained and evaluated models using cross validation and clinically relevant performance metrics, achieving a 47% improvement in detection accuracy. Integrated the models into existing clinical analysis workflows, supported by automated inference pipelines and quality controls, reducing image analysis time by 50%. Ensured model traceability, validation documentation, and compliance with regulatory requirements, enabling reliable clinical decision support, improved operational efficiency, and faster, more consistent interpretation of complex medical imaging data.
マネージメント能力
このマネージメント能力は公開されていません
アピール項目
アウトプット
GitHub アカウント
あり
Qiita アカウント
未入力です
Zenn アカウント
未入力です
Speaker Deck アカウント
未入力です
SlideShare アカウント
未入力です
特にアピールしたいアウトプット
未入力です
今後、身につけなければいけないと思っている技術は何ですか？
I am focused on continuously advancing my skills in applied and enterprise‑ready AI, particularly technologies that enable leadership, scalable growth, and effective people management. This includes staying at the forefront of advanced GenAI and multimodal models, with a strong emphasis on how they can be safely and reliably embedded into core business processes rather than used as standalone tools.
I am especially interested in evolving AI operating models, such as MLOps, LLM lifecycle management, and AI governance frameworks, that allow organizations to scale AI responsibly while maintaining transparency, auditability, and trust. These capabilities are critical for aligning technology innovation with executive decision‑making and long‑term business strategy.
In parallel, I want to deepen my use of AI‑powered decision support and knowledge systems to support leadership effectiveness, organizational learning, and team productivity. This includes technologies that enhance collaboration, augment human judgment, and help leaders allocate resources, manage complexity, and develop talent more effectively. My goal is not only to stay technically current, but to leverage AI as a multiplier for business performance, leadership impact, and people growth.
あなたが一番パフォーマンスを出せるのはどんな環境ですか？
I perform at my best in multicultural, English‑speaking environments where diverse perspectives are valued and collaboration across cultures and disciplines is encouraged. I am most effective in dynamic organizations that balance clear structure with flexibility, allowing teams to adapt quickly while maintaining high standards of quality and accountability.
I thrive in environments that emphasize continuous growth and learning, both at individual and organizational level. This includes opportunities to build new capabilities, take on increasing responsibility, and contribute to long‑term transformation rather than short‑term tasks.
I am particularly motivated in settings where technology supports core business goals, leadership is approachable, and trust, transparency, and constructive feedback are part of everyday work. Such environments allow me to combine technical, strategic, and managerial strengths while growing alongside the organization.
生成AIの活用状況
キャラクター
やりたい事
基本プロフィール
年齢
今年で40代中盤
好きなテキストエディタ
Visual Studio Code (VS Code)
希望勤務地
東京都
希望年収
1800万円
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