Suryashankar Das
Software Engineer at Fused
Pune, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolSuryashankar Das is a software engineer with nine years of experience building scalable web and backend systems, currently focused on high-performance microservices and WebAssembly optimizations in Rust. He has a track record of practical impact—leading major Angular upgrades, cutting JPA query costs by over 90%, and improving CI/CD and observability for production services. An active open-source contributor, he has contributed to notable projects like tensorflow/datasets and healthcare Digital Public Goods (TeleICU) with meaningful backend and test improvements. Early blockchain work earned him prizes and grants, giving him a lasting appreciation for decentralized architectures even though he no longer works in that space. A committed Linux enthusiast and hackathon winner, he thrives on performance tuning, system architecture, and collaborative problem-solving. Based in Pune, he brings a blend of hands-on engineering, public-good contributions, and continuous learning to fast-paced teams.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, CGPA: 8.2, Bachelor of Technology - BTech, Computer Science, CGPA: 8.2 at Jaypee Institute Of Information Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
database-migrations10
api-rest10
python10
apidoc10
api-design10
restful-api10
django10
datasets10
api10
tensorflow10
rest-api10
database-migration10
data-set9
postgresql9
json9
Programming languages (17)
Github contributions (5)
ohcnetwork/care
May 2022 - Oct 2022
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 reviews, 23 commits, 24 PRs in 5 months
Contributions summary:Suryashankar focused on back-end development tasks, primarily within the Django framework. Their contributions included database migrations to modify and add fields to existing models, and they also implemented new features like the HL7MonitorAsset class. Furthermore, the user improved the API by adding filters for the patient list and updating asset integration actions with enhanced error handling. They also worked on improving the swagger docs for the operate_assets API.
bedintegratedpatientallocationdigital-public-goods
tensorflow/datasets
Sep 2020 - Oct 2020
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 reviews, 9 commits, 7 PRs in 29 days
Contributions summary:Suryashankar primarily focused on improving the functionality and maintainability of the TensorFlow Datasets library. They made several code modifications, including updating the `get_filename` function to handle different string types. The user also cleaned up existing datasets and added test cases, specifically for the downloader module and file name extraction. Additionally, they added configuration descriptions and updated checksum implementations within the repository.
datanumpydeep-learningdatasetmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.