The paper omits implementation decisions or the code, data and evaluation no longer align.
Research experiment support · English / 中文
Make the experiment reproducible.
For master’s and PhD researchers: baseline reproduction, method implementation, ablations and thesis prototypes that remain runnable and explainable.
When this is useful
Not outsourced authorship. Solid research engineering.
You need controlled comparisons and failure analysis, not another untested module.
The method, system, metrics and figures do not yet tell one defensible story.
Engagements
Scope the question before the work.
Final scope depends on the data, existing code, model scale, compute and deadline. These starting prices set a useful boundary.
Research Experiment Sprint
US$1,000+One defined experimental question
For baseline reproduction, one method implementation, metric diagnosis or a controlled ablation set. Usually 2–6 weeks.
- Defined inputs, baseline and acceptance metric
- Runnable code and experiment records
- Two in-scope revision rounds
Master’s Research Engineering Support
US$5,000+Build one coherent research track
Up to 12 months around one primary research direction, covering up to four major experiment stages and a thesis prototype.
- Milestone plan and regular research meetings
- Baselines, improvements, ablations and results
- New directions or papers scoped separately
What is delivered
More than a metric table.
Baseline reproduction
Align the data, environment and evaluation before comparing changes.
Method implementation
Translate equations, prose or a research idea into testable code.
Training and evaluation
Control randomness, retain logs and document failed experiments.
Ablation studies
Separate each change so the source of improvement is visible.
Figures and results
Prepare metrics, error cases and defensible visual evidence.
Technical handoff
Deliver run paths, environment notes and a walkthrough.
Academic boundaries
Real research. Explainable work.
Research engineering, technical mentoring and reproducible handoff.
No dissertation ghostwriting or replacement of assessed student work.
No fabricated data, results, citations or experiment logs.
No guarantees of publication, grades or graduation outcomes.
Project assessment
Start with the question, material and deadline.
Send a concise summary first, without sensitive data. We normally reply with clarifying questions before proposing an engagement.