If you are here its probably because you got redirected here through my twitter or talks 😁 or my CV

First and foremost my love from computer science started when i was in my middle school and made/coded my first animation on Flash. Though i am a generalist, my speciality is getting PoCs to an MVP and and MVP to a production ready system. I work on OpenML and multiple commercial EU projects like Stairway2AI and AIonDemand. I am involved in architecture design, schema, deployment and development of ML systems on these platform. I have worked on standardization of datasets, models and evaluations. I have developed OpenML BOOST platform for education for biomedical students for ML course. On OpenML I worked on designing the backend and cloud infrastructure. At Kramphub i am working on creating machine learning platform and creating data science workflows with business. Few engineering tools i use in my day2day:

• Kubernetes: For cluster management, networking, docker and object storage.
• Python: My goto language for APIs, automation and data engineering.
• React: involuntarity learnt it, can't say I'm a master of it but can work through JS.
• DevOps/MLOps: Its a very fast evolving feild but i am trying to keep up with latest news.

Currently i work as a data scientist at Microsoft. My job and hobby's entails looking at data and meta data to make tools, data can be used to tell stories and make better decisions. I am a huge advocate for Open Data and Responsible data science. Another reason i loved working @OpenML. I used to work in TolaData for data science for Monitoring and analytics for different NGOs. Personally I am looking for more opportunity to contribute to data science for soclial good and climate change.

I worked as a researcher @TU/e and work on multiple research project. I like solving real world problems like Machine learning on Dirty datasets, Imbalanced datasets, explainable machine leanring and Human in the loop AI. I enjoy research topics as well like Meta-learning, dataset similarity, metric leanring, AutoML and Neural architecture search. If you would like to collaborate in any of these topics then feel free to contact me 🙃 My publications can be found on my Scholar

I write blogs and give talks from time to time. These days you can check some of my work on OpenML blog. I love talking about Open data, reproducibility, ML standardization and ML education.

I am used to be part of communities and help building communities everywhere i can. I used to be a part of PyData Delhi, I stated PyData Tartu and PyData Heidelberg as well. Currently I am working on building OpenML community. I am also part of NUMFOCUS on multiple DISC projects.

I have given few workshops and taught Machine Learning Engineering course at TU Eindhoven. I used to speak often at PyCon conferences before corona.

Thank you for reading through this profile. I love collaborations, I am especially interested if you have a project which directly contributes positively to society or environment.

• Indicator library: Django API for indicator search.
• Tola Reports: Dashboards for M&E enterprises
• AutoAI: AutoML API for financial data
• OpenML website: Flask API for OpenML backend
• Dataset 2.0: Next generation dataset formats for future datasets
• Flow 2.0: Next generation model storage for new ML APIs
• OpenML K8s: K8s integrtation in OpenML powered by distributed storage from MinIO
• BOOST Education: Education platform for ML students
• Online autoML: Automl for datastreams
• AutoBalance: AutoML for imbalanced data
• StairwAI: Benchmarking platform for EU ML assets
• AIonDemand: AI asset Marketplace
• LOTUS: AutoML for unsupervised tasks
• Demand Forecasting for Kramphub warehousing
• KRAMP-AI: AI Chatbot for kramphub internal documents
• AutoML: Added automl capabilities to organisation wide teams.
• Transferability estimation: Implemented transferability estiamtion in sugical setting, medical image classification and made a sensible benchmark for it