End-to-End ML R&D
Budget: ₹1,500 – ₹12,500 INR
I have a real-world problem that I want to address with machine-learning. Rather than limiting the study to a single sub-field like NLP or vision, I need a researcher who can explore the space openly, decide on the most suitable direction, and then carry the work from initial concept all the way to a camera-ready LaTeX draft.
Here’s what the assignment looks like from my side:
• Shape the idea: refine the research question, map the relevant literature, and position the contribution clearly.
• Build the solution: collect or curate the necessary data, engineer features, develop and rigorously evaluate the model, iterating until results are publication-grade (Python, TensorFlow/PyTorch, Jupyter or similar are fine).
• Tell the story: write the full paper in LaTeX—abstract, methodology, experiments, discussion, proper citations—formatted for an IEEE-style or similar venue.
Deliverables I expect:
1. Reproducible code and data-handling scripts in a Git-friendly structure.
2. All experiment logs, figures, and tables that support the findings.
3. A polished LaTeX manuscript that is ready for submission.
If you are equally comfortable digging through academic papers and pushing production-quality code—and can knit those threads into a coherent, publishable draft—this project is for you.
Here’s what the assignment looks like from my side:
• Shape the idea: refine the research question, map the relevant literature, and position the contribution clearly.
• Build the solution: collect or curate the necessary data, engineer features, develop and rigorously evaluate the model, iterating until results are publication-grade (Python, TensorFlow/PyTorch, Jupyter or similar are fine).
• Tell the story: write the full paper in LaTeX—abstract, methodology, experiments, discussion, proper citations—formatted for an IEEE-style or similar venue.
Deliverables I expect:
1. Reproducible code and data-handling scripts in a Git-friendly structure.
2. All experiment logs, figures, and tables that support the findings.
3. A polished LaTeX manuscript that is ready for submission.
If you are equally comfortable digging through academic papers and pushing production-quality code—and can knit those threads into a coherent, publishable draft—this project is for you.