Aditya Srivastava
Seattle, Washington, United States
Summary
🤩
RockstarAditya 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.
8 years of coding experience
Stackoverflow
15reputation
188reached
0answers
1question
Github Skills (12)
tensorflow10
python10
data-science9
machine-learning9
mlops9
file-management8
vector-database8
filesystem8
windows-xp7
windows7
git6
processor6
Programming languages (14)
Github contributions (5)
activeloopai/deeplake
Oct 2020 - Dec 2020
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions: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.
aidata-lakedeeplakemultimodalpostgresql
ADI10HERO/fcrr
Aug 2020 - Jan 2022
Flask Celery RabbitMQ Redis, A dockerized application which is really fast and scales easily, only docker and docker-compose is needed on your machine, rest is handled by me :)
Contributions:13 commits, 1 PR, 8 pushes in 1 year 4 months
dockerdocker-composeflask-celeryrabbitmqredis
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