Esha Karlekar
Software Development Machine Learning Intern at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolEsha Karlekar is a UC Berkeley EECS student and software engineer with a strong focus on machine learning, AI research, and applied public policy. She has accumulated practical experience across industry-leading teams—SpaceX, Netflix, and AWS—building ML systems for guidance/navigation, trust & safety anomaly detection, and operational AI agents. Her background spans deep learning for biomedical imaging at UCSF, generative-model applications for satellite and record analysis at MITRE, and product-focused AI work with tech consultancies serving Fortune 500 clients. Esha blends research rigor with production engineering, repeatedly shipping prototypes that bridge models and systems (e.g., DNNs for orbital trajectories and MCP-driven AI agents). Outside core engineering, she has driven professional development initiatives and grassroots data work for progressive campaigns, signaling a commitment to tech for social impact. Fluent in both technical research and client-facing consulting, she’s seeking software, data science, or ML roles for spring/summer 2024.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Sciences (EECS); Minor in Public Policy, Bachelor's degree Electrical Engineering and Computer Sciences (EECS); Minor in Public Policy at University of California, BerkeleyAdvanced Studies Diploma Computer Science, Advanced Studies Diploma Computer Science at Thomas Jefferson High School for Science and Technology
English, Spanish, HindiProgramming languages (3)
Github contributions (5)
ekarlekar/brembow
Jun 2020 - Jul 2021
Contributions:42 commits, 28 pushes, 1 branch in 1 year 1 month
ekarlekar/website
Aug 2023 - Aug 2024
Contributions:2 PRs, 52 pushes, 7 branches in 1 year
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