Nabanita Dash
Research Intern at Robotics Research Center IIIT Hyderabad
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolNabanita Dash is a research-focused software engineer with eight years of hands-on experience across machine learning, distributed computing, and multimedia data analysis, currently interning in task and motion planning at IIIT Hyderabad. She blends systems-level C/C++ and backend work with high-level ML in Python and Julia, contributing to well-known open-source projects like OpenMined’s PySyft and Flux.jl (adaptive pooling layers). Her background spans applied research—from smartphone forensics at Seoul National University to building data pipelines and web features for JuliaHub—and authoring a Julia machine-learning book that bridges theory and practice. Nabanita has a knack for improving tooling and developer ergonomics (DVC autocompletion, SymPy fixes) and pursues cross-modal problems such as voice, text, and vision fusion at Antimodular Research. Known for mentoring and community leadership as a GitHub Campus Expert and ACM chapter chair, she combines research rigor with pragmatic engineering to turn novel ideas into production-ready systems.
8 years of coding experience
4 years of employment as a software developer
Masters by Research, Computer Science and Engineering, Masters by Research, Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIIT Hyderabad)Bachelor of Technology - BTech, Computer Science, 7.24/10.0, Bachelor of Technology - BTech, Computer Science, 7.24/10.0 at International Institute of Information Technology, Bhubaneswarstd 1 to std 12, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, A+, std 1 to std 12, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, A+ at Ispat English Medium School
Github Skills (36)
test-automation10
computer-algebra10
serializable10
serializer10
artificial-neural-networks10
python10
data-science10
sympy10
testing10
mathematics10
command-line-interface10
machine-learning10
bash10
math10
computer-algebra-system10
Programming languages (17)
Github contributions (5)
FluxML/Flux.jl
Sep 2019 - Jun 2020
Relax! Flux is the ML library that doesn't make you tensor
Role in this project:
ML Engineer
ML EngineerContributions:17 commits, 3 PRs, 27 comments in 9 months
Contributions summary:Nabanita primarily contributed to the development of adaptive pooling layers within the Flux.jl library, a machine learning framework. Their work involved implementing `AdaptiveMaxPool` and `AdaptiveMeanPool` layers, ensuring correct functionality and integration with existing components. They also added tests to validate the implemented layers and made iterative improvements based on code reviews. The user's commits demonstrate a strong understanding of neural network layers and their application.
ml-librarythe-human-braindata-sciencedeep-learningneural-networks
iterative/dvc
Jun 2019 - Oct 2019
🦉 Data Versioning and ML Experiments
Role in this project:Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:18 commits, 5 PRs, 44 comments in 3 months
Contributions summary:Nabanita primarily focused on modifying and updating the bash autocompletion script for the DVC command-line tool. Their contributions involved refining command and option autocompletion, suggesting a focus on improving the user experience and usability of the DVC CLI. Further commits reveal conflict resolution and iterative improvements to the bash script, highlighting a commitment to robust command-line interface behavior.
data-version-controlml-modelspythonversion-controldata-science
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.