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Samiul Ansari

Samiul Ansari


AI & Data Architect - Director

Professional Overview


Samiul Ansari is a seasoned AI and Data Architect with extensive experience in driving digital transformation and leveraging data-driven insights to optimize business operations. As the Director of AI & Data Architecture at Recursion, he spearheads the development of cutting-edge AI solutions and oversees the integration of advanced data analytics across the organization. Samiul also serves as a Data & Technology Adviser at LovedBy, where he provides strategic guidance and technical expertise to support the company's data-centric initiatives.

Experience Summary



Current Roles


AI & Data Architect - Director, Recursion (2023-01-01 to Present)
  • Responsible for designing and implementing robust AI and data architectures to support the company's strategic objectives

  • Leads a team of data scientists, engineers, and architects to deliver innovative solutions that drive operational efficiency and enhance decision-making

  • Collaborates cross-functionally to align technology roadmaps with business goals and ensure seamless integration of data-driven insights


Data & Technology Adviser, LovedBy (2022-12-01 to Present)
  • Provides strategic counsel and technical guidance to the executive leadership team on data management, technology infrastructure, and digital transformation initiatives

  • Identifies opportunities to enhance data-driven decision-making, optimize business processes, and leverage emerging technologies

  • Supports the implementation of data governance frameworks and oversees the development of scalable, secure, and high-performing data systems


Career Progression


Chief Data & Technology Officer (CDTO), LovedBy (2021-04-01 to 2023-01-01)
  • Spearheaded the company's data and technology strategy, driving the adoption of advanced analytics and AI to improve operational efficiency and unlock new revenue streams

  • Led the transformation of the organization's data architecture, migrating legacy systems to a modern, cloud-based infrastructure and implementing robust data governance practices

  • Championed the development of a data-driven culture, upskilling teams and promoting the use of data-centric decision-making across the business


Chief Technology Officer (CTO) & Head of Data Science, LovedBy (2019-07-01 to 2021-04-01)
  • Oversaw the development and deployment of innovative data science models and predictive analytics solutions to address complex business challenges

  • Established data engineering and data science capabilities, building high-performing teams to deliver actionable insights that informed strategic decision-making

  • Drove the integration of emerging technologies, such as machine learning and natural language processing, to enhance the company's products and services


Academic Background


Samiul holds a PhD in Chemistry from the University of Strathclyde, where he conducted groundbreaking research in the field of predictive analytics and applied machine learning techniques to optimize chemical processes.

Areas of Expertise


  • AI and Machine Learning Architectures

  • Advanced Data Analytics and Business Intelligence

  • Data Governance and Regulatory Compliance

  • Cloud Computing and Scalable Data Infrastructure

  • Digital Transformation and Technology Strategy

  • Cross-functional Collaboration and Team Leadership


Professional Impact


  • Spearheaded the implementation of a cloud-based data platform at LovedBy, enabling a 30% increase in data processing speed and a 25% reduction in operational costs

  • Developed and deployed a predictive maintenance solution at TruNarrative, resulting in a 15% decrease in equipment downtime and a 20% improvement in asset utilization

  • Authored several industry-leading publications and delivered keynote presentations at prominent data and technology conferences


Conclusion


With a proven track record of driving digital transformation and leveraging data-driven insights to optimize business performance, Samiul Ansari is a respected AI and Data Architect poised to make a significant impact in his current and future roles. His deep technical expertise, strategic vision, and collaborative leadership style make him a valuable asset in the ever-evolving data and technology landscape.