Get live statistics and analysis of Suyash Singh's profile on X / Twitter

SWE @Abnormal_AI_Inc / Built getblueprintai.com

382 following127 followers

The Innovator

Suyash Singh is a software engineer constantly pushing the boundaries of AI technology through hands-on projects and open-source contributions. He shares insightful takes on AI research and development, mixing technical depth with a dash of humor and real-world practicality. His tweets reveal a developer passionate about experimenting, building, and optimizing cutting-edge solutions.

Impressions
1.1k-39
$0.21
Likes
13
65%
Retweets
1
5%
Replies
2
10%
Bookmarks
4
20%

Suyash’s tweets are basically a tech TED Talk sprinkled with cheeky 'don’t slide into DMs unless you’re model-level' life advice—proving he’s part coder, part savage with a PhD in brutally honest takes.

Open-sourcing an AI video watermark remover that not only showcases advanced technical skills but also contributes significantly to the community’s tooling ecosystem.

To create and share innovative AI and software solutions that advance technology while fostering an open and collaborative community.

Suyash believes in the power of transparency and open-source collaboration to drive technological progress. He values practical experimentation and continuous learning, and embraces a candid, sometimes irreverent communication style to connect authentically with his audience.

Exceptional technical expertise paired with a genuine willingness to share knowledge through open source and engaging technical content.

His candid humor and blunt style, while relatable to many, may sometimes come off as edgy or off-putting to a broader audience.

To grow his audience on X, Suyash should blend his technical insights with more approachable storytelling and engage actively in tech communities and relevant hashtag conversations, boosting visibility and follower engagement.

Fun fact: Suyash developed an AI video watermark remover supporting various tools, showing his commitment to making powerful technology accessible and usable.

Top tweets of Suyash Singh

547

Day 1⚡ @RevenueCat Build a POC of a int-4 quantised model running on the GPU of mobile, to summarise text. Interestingly it only works great during one-shot. So, the idea is to send text in batches, for now. #buildinpublic

227

Working on adding a new feature to work with 2D floor plans on my website getblueprintai.com (Currently in Beta and working on the side) Implemented the following paper to segment the floor and create masks (arxiv.org/pdf/1908.11025). Then have a custom pipeline to create the 3D model of the 2D floor plan. Ofcourse this is after today's paper reading got a lot of insights and will improve the pipeline a lot.

84

To further answer a question asked by someone else: "What about other models?" Here was a paper sometime ago, evaluating the same thing arxiv.org/html/2505.0880… TL;DR: multimodal images in training also led to model collapse as well. The main issue with multimodal image getting in training data, was that the errors of one model propagated in further training runs. So, my best guess is. They can easily filter out all the Nano Banana images at first and then even with other models they only select the best images without flaws so it doesn't carry over to the next runs.

202

Most engaged tweets of Suyash Singh

Day 1⚡ @RevenueCat Build a POC of a int-4 quantised model running on the GPU of mobile, to summarise text. Interestingly it only works great during one-shot. So, the idea is to send text in batches, for now. #buildinpublic

227

Working on adding a new feature to work with 2D floor plans on my website getblueprintai.com (Currently in Beta and working on the side) Implemented the following paper to segment the floor and create masks (arxiv.org/pdf/1908.11025). Then have a custom pipeline to create the 3D model of the 2D floor plan. Ofcourse this is after today's paper reading got a lot of insights and will improve the pipeline a lot.

84

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