S
SteadAI
We deliver the best work in NLP, Computer Vision, Machine Learning and Data Sience.
Total earned
$5.2K
lifetime, as published
Jobs
4
contracts to date
Hours
247
billed hourly
Job Success
—
not yet rated
Hourly rate
$24/hr
team range
Index Score
38
#7007 overall
Insights
How these are computed- Run-rate, measured
- pending
- Needs two observations at least 14 days apart. Our next read of this page turns this on. Nothing is extrapolated from a single contract.
- Lifetime pace
- $573/yr estimate
- Lifetime earnings divided by years on Upwork. A floor on historical pace, not a forecast.
- Earnings per job
- $1.3K
- Average contract value to date.
- Recent earnings, per Upwork
- $0
- The "recent" figure Upwork attaches to the directory card. Upwork does not publish the window, so it is shown as its number, not ours.
- Realised hourly
- $21/hr
- Total earned over billed hours. Fixed-price work inflates it; compare with the rate card.
Index Score breakdown37.7/100
Scale 21.2/40Quality 10/20Trust 0/15Momentum 3/15Team 3.5/10
Observation history
Every read of the public page. Last observed Oct 29, 2026 (live read).
| Observed | Earned | Δ | Jobs | JSS |
|---|---|---|---|---|
| Oct 29, 2026 | $5.2K | 4 | — |
One observation so far. The index re-reads every page on a rolling schedule; claimed pages are read weekly.
About
We have been working in the field of Machine Learning, Natural Language Processing, Data Science, Computer Vision and Chatbots for more than 3 years. We have worked on the multiple projects, significant projects are listed below: We have worked on the Fake News Detection problem as a side project. The Fake News model classifies the news as Credible or Non-credible based on the probabilities of the outcomes from the 5 classification models listed below. - Model for detecting clickbait - Model for detecting web spam using web-url - Model for detecting web spam using web-body - Model for detecting opinion spam - Model to differentiate between Human and Bot In one of our projects, we have performed exploratory data analysis on the data. Found correlations and scatter plots between the variables, generated correlation heat maps and made the jupyter notebook interactive by using ipywidgets so that clients could have a good experience of the enhanced interactivity. We then created a Flask API that We linked with the HTML page through Ajax call. In my recent side project We have fine tuned the GPT-2 model on kid stories data after preprocessing of the data. Also created a Flask app in order to generate the stories through the interface. So summarizing my skills. We have worked on the state of the art RNN and Transformer based NLP models like GPT-2, BERT and ULMFIT. I have used state of the art machine learning/NLP libraries like Spacy, Scikit Learn, FastText, Gensim and many others. For Data Science I have worked on the time series data, performed data preprocessing, EDA and data engineering before training the models on the data.Read more
Skills
Data ScienceNatural Language ProcessingData AnalysisRecommendation SystemMachine LearningDeep Learning
Agency facts
- Team size
- 2-10
- Teams on Upwork
- 1
- Founded
- —
- Member since
- Oct 2017
- Last contract
- Jun 2023
- Owner
- Noman S.
- Client focus
- —
- Members in
- Pakistan
- Languages
- —
Agencies in the same categories
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SteadAI is #5725 of 10,426 Upwork agencies. Post the card, or share the link and the card comes with it.
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