Hi everyone! I'm an ML Engineer at Hewlett Packard Enterprise R&D. Happy to be here and would love to contribute to this project!

Hi! I’m Brandon Segal an Analytics Engineer over at Spotify looking to migrate some of our workflows from Luigi to Flyte! If anyone has experience using flyte with GCP workloads and big query I’d love to hear more about how you did that!

Newbie here, I love your docs site and the Git org overview page 🎉 I work as a Principal Software Engineer @ Discover at the intersection of Cloud (AWS, OpenShift/Kubernetes, Docker, Snowflake), Data Science/Machine learning (Python, Spark, H2O, R, SAS) and Software Engineering (UI, Microservices, DevOps)

Hey y'all! I'm Farman Pirzada, a Data Integrations Engineer at Mailchimp. Have a team that's part of the Flyte Hackathon and excited to try it out!

Hello. I'm Narasimha, working as ML Engineer. I learnt about Flyte very recently and am eager to get my hands dirty.

Hi Flyte community! I’m Geoff, Data Engineer Lead at DMD. I read a blog post yesterday from Spotify about Flyte. I am actively looking in a replacement for our current orchestration tool (Talend). Looks like Flyte could be a good alternative(!!) I am still unsure how this can integrate in my current solution (I am building Spark jar files that runs in AWS/emr) so I am here to ask questions and work on a POC. Thanks in advance for the support!

Hello Flyte community, My name is Mike, senior engineer at Embark Veterinary. We are looking to adopt flyte as our workflow platform and are currently in the process of lifting and shifting our existing data analysis pipelines to use flyte. Looking forward to working with the folks here.

Hi everyone, I am an NLP scientist at Enterpret. Currently we are looking to scale our processes. We are looking for tools that abstract Infra and Compute management. We are evaluating based on the following points: • There are multiple tasks in a single flow. • Data needs to be transferred from one task to another task. • Data that needs to be transferred can be huge. So persistance of data at each step of flow (and / or) at the end of the flow is needed. • Should be able to run each task locally manually (For experimentation / debugging purposes) and on cloud (for scaling purposes) • Should be able to run tasks parallely that are independent to each other in a flow. • Should be able to run flows parallely -> Could be useful for running different experiments at same time • Having the ability to monitor the progress of task in a flow, since tasks can take more time • Compute needed for each task in a flow can be different. Ex:Training needs GPU, Data Gathering can work on CPU • Compute used should scale down when no flow is running. • Each step in a flow can have different dependencies. • Learning curve should be less so that data scientists can feel less overwhelmed. I have evaluated Metaflow. But configuring it took a lot of time. Packaging of custom built code is difficult. I was evaluating AWS Sagemaker but the complexity is too high. Can some one help me in understanding the differences between Flyte and Sagemaker. Pros and Cons of both so that I can explain to my team. Would Flyte covers my usecases? I also write blogs on MLOps. Interested in contributing as well. https://ravirajag.dev/

Hey everyone, I’m an ML engineer at Koch Industries. I enjoyed getting to meet some of you at PyCon. Looking forward to getting more involved and testing out Flyte for our use cases.

Hey flyte community 👋 My name's Morgan, I'm a Data Scientist at Metrika. We're currently building out our first machine learning applications and I'm interested to see if flyte can satisfy some of our use cases. I've heard great things about the platform and am excited to get my hands dirty with it 👷

Hey Flyte community 👋 I've been lurking here for a while already. I 've been working on the edge between ML and data engineering at Optimizely. Over the years Ive worked with Luigi, airflow and friends. I find this project very interesting. I am looking for ways to contribute but also looking forward to see how we could use Flyte for pipelines we have at my workplace.

Hi everyone. I am molecular biologist Working on NGS sequencing data from Kenya. I'm interested in building workflows through the Latch Sdk. I'm still new to workflows using flyte. Hoping to learn the details.

Hello everyone! I work at BentoML, we're an open source solution for production model serving. Been hearing a lot about using flyte for model training recently so I'm doing some research on what an integration would look like. General idea is to use flyte during training, then create a bento with the final model which is then deployed to your cloud of choice

Hi everyone! Just joined the slack. Super excited about diving into flyte and learning how to use it more. I see it being very useful in my upcoming roll!

Hi Everyone, nice to meet you! I connected with Ketan on LinkedIn and he invited me to join this space. I am a principal software engineer and tech lead focused on scalable data streaming in Kubernetes, currently working at Optum. I am planning to transition to bioinformatics some day, so I can work on topics such as immunotherapy for treating cancer. Studying ageing is of interest too. I love contributing to open source projects and I’m currently involved in a data streaming project called Benthos (https://benthos.dev). Go is my main programming language, but I used to do C++ before 2016 or so. For further details about my background, here are my LinkedIn https://www.linkedin.com/in/mtodor and GitHub http://github.com/mihaitodor profiles.

Hi, guys. I am Seung Tae who is working as a MLOps Engineer in Qraft Technologies, Korea. My company recently accept flyte as workflow platform with k8s, so I am studying and using it. (unfortunately, flyte materials written in Korean are not so much ;( I am trying to post my use case in my blog) I am so happy to join flyte world and hope to discuss this with all community members 🙂 here are my linkedin and github profiles. Thank you all! 👋

Hello everyone! I'm looking at Flyte for a number of different use cases at my academic research institute, from some administrative IT workflows to research data workflows. I like that it's Kubernetes native, and I'm excited to dig into it deeper to see how it works for us! Thanks!

Hello everyone, I am interning at Woven Planet (Level 5) which uses Flyte for it ML workflows. Happy to be a part of the community!

Hello, Everyone. My name is YaoMing from Hong Kong, I am a senior ML | CV engineer with embedded engineering experience. My dream is to work with the progressive team members like you. I worked with several companies as a Computer vision engineer and made some AI solutions. Currently I am working as a freelancer with my friend who specialize with ML, CV like me. In fact, I have no idea how can I contribute my skill set to build workflow, but I am really interested in this opportunity. I am hoping to learn more details.

Hi I’m Stefan - one of the creators of https://github.com/stitchfix/hamilton . I’m here to lurk and learn 🙂

Hi, I am Sugato. I love contributing to opensource projects aside from working on my Physics PhD. • Maintainer of 50+ conda-forge feedstock repositories. • Contributor to

unionml

• Maintainer of following flyte-ecosystem PyPI packages on conda-forge channel: ◦

unionml

◦

flytekit

◦

flyteidl

conda install -c conda-forge unionml

Hey Flyte community happy to meet you all! I'm with Revela, a production model monitoring API platform. My partner in crime @Zev Isert and I are looking at ways to integrate with Flyte. I don't have a strong open-source background myself so I'm keen to learn. 👀🙂

Hola people, I'm Divyanshu, research associate@IISc, working on Neural Machine Translation. Came to know about Flyte from GitHub explore of the week. I love to contribute to open-source in my free time. Right now, I actively contribute to EnvisEdge & Optuna and going through the codebase of Flyte. Looking forward to learning and Contributing@Flyte.

Hi everyone, I am Akarsh, an undergraduate student. and my current work interest lies in implementing novel Multi-modal Transformers. However, I want to learn more about deploying the deep learning models, and I came across UnionML, which deals with microservices (I am not sure, about how it links to deployment, but would love to know more), and hence thought of joining this slack channel Looking forward to learning and contributing.

We run a managed Kubeflow Pipelines service https://aistudio.ml.. Helping anyone succeed in production ML..

Happy to join your channel

Thanks for giving me access to this channel. I’m working with Data Analytics and ML

Hi! I am coming from Ntropy. We're using Flyte for various ML and data workflows. I am here to track progress, learn and ask questions 🙂

Hi, I help run a small dev company and work with ML and infrastructure. Thanks so much for the invite.