Aditya Srivastava is a software development engineer with 8 years of experience, currently building backend systems at AWS and fluent across ML, MLOps, and cloud-native platforms. He holds an MS in Computer Science from USC with top grades and a strong academic background in algorithms and robotics, having served as a TA and course producer. His hands-on work spans production-grade backend contributions to AI data tooling (notably fixes and Windows compatibility improvements in the popular Deeplake repo) and research-driven roles in computer vision and LLMs. A practical engineer who moves between research, teaching, and shipping reliable systems, he also brings open-source pedigree from Google Summer of Code with Jenkins and a track record in ML ops and edge AI. Based in Seattle, he’s open to freelance engagements and enjoys bridging deep technical detail with product-facing delivery.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Southern California
Bachelor of Engineering - BE, Computer Engineering, 9.65/10, Bachelor of Engineering - BE, Computer Engineering, 9.65/10 at Vivekanand Education Society's Institute Of Technology
Intel Edge AI for IOT Developers NanoDegree, Edge Computing, Intel Edge AI for IOT Developers NanoDegree, Edge Computing at Udacity
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
Back-end Developer & MLOps Engineer
Contributions:2 reviews, 17 commits, 12 PRs in 2 months
Contributions summary:Aditya primarily focused on resolving bugs and making improvements to the `to_tensorflow` functionality within the `deeplake` project, which is a database for AI. They addressed issues related to data types and shapes, ensuring proper conversion of tensors to TensorFlow format. Furthermore, the user's contributions extended to adapting the code for compatibility with Windows operating systems, including adjustments to file path handling. The user also made documentation improvements and resolved merge conflicts demonstrating a good understanding of the project's codebase and collaborative workflow.
Contributions:46 commits, 3 PRs, 5 pushes in 1 year 4 months
careartificial-intelligencemachine-learning
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Aditya Srivastava - Software Development Engineer at Amazon