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Cipta Herwana
Senior Software Engineer, Machine Learning, Google Pay
Professional Background
Cipta Herwana is a highly skilled Senior Machine Learning and Data Science Engineer with an impressive track record rooted in robust software engineering principles. Currently, she holds a vital role at Google, where she is intricately involved in advancing machine learning capabilities for Google Pay. Cipta's comprehensive experience at one of the most prestigious technology companies in the world underscores her dedication to pushing the boundaries of data science and machine learning applications.
Her professional journey is marked by a progression through influential roles, including a pivotal position as a Software Engineer in the Data Infrastructure team, which significantly contributed to her holistic understanding of data systems. Throughout her tenure at Google, Cipta has harnessed her expertise to enhance the user experience of financial services, demonstrating her commitment to integrating innovative technological solutions into everyday applications.
Before her time at Google, Cipta built a solid foundation in software engineering as a Software Engineer at FactSet Research Systems. Her roles there, starting from an intern and culminating in full-time engagements, provided her with practical experience and deep insights into data management and analytics, skills that are crucial in her current position at Google. Additionally, her academic engagement as a Teaching Assistant for Discrete Mathematics at Columbia University indicates her strong grasp of theoretical concepts, which she effectively translates into practical applications.
Education and Achievements
Cipta’s academic credentials are equally impressive, holding a Master of Science (MS) in Data Science from New York University, one of the leading institutions renowned for its cutting-edge research and innovative approaches to technology and data analysis. During her master's program, she deepened her understanding of data-driven methodologies and machine learning algorithms, equipping her with the skills necessary to tackle complex problems in the field.
Earlier, she earned a Bachelor of Science in Computer Science from Columbia Engineering. This prestigious program laid the groundwork for her technical prowess, providing her with a strong command over software development principles and problem-solving strategies. Her studies at Columbia University not only honed her programming and analytical skills but also fostered a collaborative spirit that she continues to embody in her professional environment.
Notable Achievements
Cipta Herwana has been a prominent figure in her field, demonstrating proficiency in machine learning, data infrastructure, and software engineering. Some of her notable achievements during her professional tenure include:
- Leading impactful projects at Google Pay, where she has implemented machine learning models that enhance transaction processes, thereby significantly improving user experiences.
- Contributing to the architecture and optimization of data pipelines, which enables efficient data flow and analysis, crucial for making informed business decisions in a fast-paced financial environment.
- Mentoring junior engineers and interns, sharing her extensive knowledge and encouraging the next generation of data scientists and software engineers.
- Engaging in research initiatives during her time as a Research Associate at Columbia University, where her contributions supported innovative projects that advance theoretical and practical knowledge in data science.
- Successfully balancing rigorous academic commitments with internships, showcasing her exceptional time management skills and ability to apply theoretical knowledge in practical, high-stakes environments.
In summary, Cipta Herwana exemplifies a blend of technical acumen and practical application, making her a leader in the ever-evolving landscape of data science and machine learning. Her journey from academia to impactful roles in leading tech companies positions her uniquely to continue contributing to groundbreaking advancements in the field.