Natalie K.

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Profile:

Ani is a dedicated Ph.D. candidate in Electrical and Computer Engineering at Carnegie Mellon University, specializing in machine learning and advanced computational techniques. With a strong foundation in physics from Cornell University and extensive experience in both industry and academia, Ani has contributed to critical projects in defense, software engineering, and augmented reality. Her diverse background and deep expertise in machine learning make her a valuable mentor for those interested in pursuing cutting-edge research and development in technology.
Machine Learning
Electrical and Computer Engineering
Software Engineering
Augmented and Virtual Reality

Academic Background:

Ph.D. Candidate in Electrical and Computer Engineering, Carnegie Mellon University

  • Research focused on applying machine learning techniques to solve complex problems in signal processing and automation.
  • Involved in multiple projects aimed at advancing the field of computational intelligence.

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Master of Science in Machine Learning, Carnegie Mellon University

  • Specialized in the development of algorithms and models for predictive analytics and intelligent systems.
  • Worked on interdisciplinary projects that integrate machine learning with various engineering domains.

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Bachelor of Science in Physics, Cornell University

  • Graduated with a focus on theoretical and applied physics, laying the groundwork for her advanced studies in engineering and machine learning.
  • Participated in research projects that explored the intersections of physics and computer science.

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Professional Experience:

Researcher @ Lockheed Martin

  • Conducted research and development in defense technologies, focusing on applying machine learning to enhance systems performance.
  • Collaborated with cross-functional teams to develop solutions for complex engineering challenges in aerospace and defense.

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Software Engineer @ Amazon

  • Developed and optimized software solutions for large-scale data processing and e-commerce applications.
  • Worked on improving system reliability and performance in Amazon's cloud computing services.

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Software Engineer @ Microsoft

  • Contributed to the development of augmented and virtual reality experiences, focusing on enhancing user interaction through advanced engineering techniques.

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