Eshan Arora
CoreAI Software Engineer at Keystone AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolEshan Arora is a CoreAI software engineer with 8 years of experience building deep learning, generative AI and ML systems, currently based in Seattle and pursuing MS in Data Analytics Engineering at Northeastern. He has shipped production AI agent services at Moderna (including a Kubernetes-backed NLP-to-SQL agent with 97.7% retrieval accuracy) and contributed to high-impact open-source tooling like Activeloop’s DeepLake through a Google Summer of Code project that reduced dataset ingestion to a single line. Comfortable spanning research and engineering, he’s led robotics and tactile-vision projects, taught graduate ML courses, and built data pipelines and real-time vector stores for cross-domain applications. Eshan combines hands-on model development with practical ML infrastructure and documentation skills, and maintains creative side projects such as Elden Ring GPT that reflect a flair for applied generative AI.
7 years of coding experience
2 years of employment as a software developer
Indian School Wadi Kabir (CBSE)Master of Science - MS, Data Analytics Engineering, Master of Science - MS, Data Analytics Engineering at Northeastern UniversityBachelor of Technology - BTech, Computer Engineering, First Class with Distinction, Bachelor of Technology - BTech, Computer Engineering, First Class with Distinction at Sardar Vallabhbhai National Institute of Technology, Surat
Github Skills (4)
documentation10
python8
data-science7
machine-learning6
Programming languages (9)
Github contributions (5)
activeloopai/deeplake
Oct 2020 - Sep 2021
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:
Technical Writer
Technical WriterContributions:20 reviews, 188 commits, 25 PRs in 10 months
Contributions summary:Eshan's commits primarily focused on updating documentation related to the schema definitions for various data types within the `deeplake` repository. These updates involved modifying documentation files (e.g., `image.py`, `bbox.py`, `audio.py`, `text.py`, and `class_label.py`) to provide better examples, explanations, and usage instructions. The changes included updating and refining examples, which would help other users understand how to use the library for various data schemas.
pythonreal-time-datadata-streamjupyter-notebookvisualize
thisiseshan/music-gan
Jun 2019 - Jul 2019
Contributions:8 commits, 13 pushes, 1 branch in 1 month
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