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SEEKING WORK | San Francisco, CA | REMOTE | CONTRACT Willing to relocate: Yes

Location: USA / Canada

Hello there, I have over 11 years in experience in backend engineering, and am expert in creating Generative AI based solutions. Some notable projects include:

1. AI YouTube short creator with 20k daily active users.

2. AI storyboarding tool with 10k ARR.

3. Various Chatbots on platforms like WhatsApp, Telegram, Slack and Matrix.

4. Cloud migration project involving PB of data for a flagship RDP product.

5. COVID platform creation that helped save thousands of lives in North America

Technologies:

AI/ML: Python, TypeScript, Streamlit, Stable Diffusion, LLM, Pandas, Langchain, CrewAI, Groq

API: FastAPI, Flask, Django, Express

Cloud: Terraform, AWS, GCP, Azure, Serverless

DevOps: TeamCity, OctopusCI, DataDog, Jenkins

Data: MySQL, RabbitMQ, Cassandra, Hadoop, MongoDB, Postgres, Redis, DynamoDB

Contact in profile. Have a great day!


SEEKING WORK | San Francisco, CA | REMOTE | CONTRACT

Willing to relocate: Yes

Location: USA / Canada

Hello there, I have over 6 years in contracting experience, and expert in creating Generative AI based solutions. Some notable projects include:

1. AI YouTube short creator with 20k daily active users.

2. AI storyboarding tool with 10k ARR.

3. Various Chatbots on platforms like WhatsApp, Telegram, Slack and Matrix.

4. Cloud migration project involving PB of data for a flagship RDP product.

5. COVID platform creation that helped save thousands of lives in North America

Technologies:

AI/ML: Python, TypeScript, Streamlit, Stable Diffusion, LLM, Pandas, Langchain, CrewAI, Groq

API: FastAPI, Flask, Django, Express

Cloud: Terraform, AWS, GCP, Azure, Serverless

DevOps: TeamCity, OctopusCI, DataDog, Jenkins

Data: MySQL, RabbitMQ, Cassandra, Hadoop, MongoDB, Postgres, Redis, DynamoDB

Contact in profile. Have a great day!


Hi Peter, thanks for taking this. How feasible is it for a Canadian Citizen who has a software consulting service to apply for E2 visa? Is it worth pursuing? What things are important to keep in mind for that?


Location: San Francisco, CA

Remote: Yes

Willing to relocate: Yes

Technologies: Python (Django, Flask, FastAPI), TypeScript, Terraform, Ansible, Docker, AWS, GCP, Azure, Redis, Cassandra, PostgreSQL, MySQL, Jenkins, TeamCity, API, Grafana, Datadog, git, Kafka, MongoDB, RabbitMQ, Numpy, Pandas, Jupyter

Résumé/CV: https://drive.google.com/file/d/1DTkTDgRXpmwQ-eTCKCP8oBg2gj7...

Email:jd+hn<at>tinytera<dot>com


Hey brian, I remember you from https://news.ycombinator.com/item?id=37705445 and recently open sourced one part of that app here https://github.com/jaideep2/apinaio Its a set of docker images to simplify GenAI workflows, since its hard to setup workflow correctly, especially for stable diffusion models. Only works on CUDA hardware for now, but contributions welcome :)


This is great! I use ComfyUI extensively and will try this out. Its hard to setup workflow correctly for these Video diffusion models.

I recently built a set of docker images to simplify GenAI workflows. Check it out at https://github.com/jaideep2/apinaio

Only works on CUDA hardware for now, but contributions welcome :)


Looks pretty cool. Can anyone comment on how to hack together the opposite? That is, going from 2D object image to 3D rendering with in-painted background? Or is that not possible right now.


Do you mean transforming a sketch to a 3D-looking image(i.e not a 3d mesh model): If so Stable diffusion with control net can do that using a good prompt and the SDXL model.

Do you mean you have an existing photo of something and would like to add a realistic setting. There's a lot of ways to do this, but probably the easiest right now is the Generative Fill feature in Adobe Photoshop (beta).


Not sure if they are planning on releasing this but you can mix a image2Nerf model (threestudio is a good repo for this) for the object 3d model, and an image2depth model like ZoeDepth to generate 3d background.


2D to 3D networks are pretty amazing right now.

High poly meshes and low poly textures are possible.


This is great! For remixing, are you guys actually saving the latent assets/embeddings? Or regenerating the music from some "seed"?


Remix is using latent space interpolation under the hood to generate three variations of a given riff with (light, medium and heavy) modifications


Looks interesting. Do you have visualizations or examples on debugging audio embeddings (like https://huggingface.co/spaces/facebook/MusicGen) ?


No specific support for audio embeddings yet, though depending on you're specific use-case, you might be able to map your data to more generic primitives such a TimeSeriesScalar, LineStrips2D, BarChart, or Tensor.

We have an open issue for adding more support for audio-based projects -- if you have specific needs feel free to add a comment: https://github.com/rerun-io/rerun/issues/2852


Weird. Can you check if its getting caught in email filter by going to https://regex101.com/r/y8xh8k/1 and typing the email under TEST STRING?


Ah, got it.

In [.-_] the hyphen makes it so it matches chars between . and _. It needs to be rewritten with the hyphen at the end so it doesn't treat it as that: [._-]


Thanks! Fixed. Btw the app is now hosted on https://topic2video.streamlit.app


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