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Computer Science & AI
Rezaul Karim
CS Research Mentor · AI/ML Publications
From half-finished experiments to a submittable paper
Dhaka, Bangladesh
CS researcher with 5 years of experience publishing at ML and NLP venues. I help students structure experiments, write reproducible code, and turn results into a paper that survives peer review.
Experience
5+ years
Rating
4.8(41)
Session
$30/session · 45 min
Areas of expertise
Research Design
- Framing a research problem
- Baseline & ablation design
- Benchmark selection
Experimentation
- Python (PyTorch/TensorFlow)
- Experiment tracking
- Reproducible pipelines
Analysis & Evaluation
- Statistical significance testing
- Error analysis
- Benchmark comparison
Academic Writing
- Conference paper structure (ACL/NeurIPS-style)
- LaTeX formatting
- Related work sections
Publication Support
- Venue selection
- Rebuttal writing
- Camera-ready prep
How mentoring works
01
Problem framing & related work
Find a novel angle and position it against prior work.
02
Method & experiment design
Design baselines and ablations before writing any code.
03
Implementation & benchmarking
Build a reproducible pipeline and run it on standard benchmarks.
04
Results analysis & ablations
Test significance and dig into failure cases.
05
Paper writing (LaTeX)
Structure and write a conference-style paper.
06
Venue selection & rebuttal
Pick a venue and respond to reviewer comments.
Achievements
- 5+ years publishing in ML/NLP research
- 7 papers at peer-reviewed conferences and workshops
- Built reproducible-research tooling used by 3 research groups
- Mentored 50+ students on their first research paper
Research interests
Machine LearningNatural Language ProcessingComputer VisionResearch ReproducibilityConference Paper Writing
Tools & software
PythonPyTorchLaTeXGitWeights & Biases
Who can work with me
- CS undergraduate & Master's students
- PhD scholars in AI/ML
- Startup R&D teams
- Independent researchers
What you'll learn
- Framing a novel research problem
- Designing baselines and ablation studies
- Writing reproducible experiment code
- Tracking experiments properly
- Statistical significance testing for ML results
- Error analysis and failure case study
- Structuring a conference-style paper
- LaTeX formatting for CS venues
- Writing a strong related-work section
- Responding to reviewer rebuttals
Mentoring style
One-to-one personal mentoringOnline (Google Meet / Zoom)Step-by-step guidancePaid service
Ready to start your research journey?
Book a paid 1:1 session with Rezaul Karim and get step-by-step guidance toward publication.