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I will be your expert machine learning and deep learning consultant
Kaggle Grandmaster solving complex NLP and CV challenges
I am a Double Kaggle Grandmaster and a master of Kaggle competitions, specializing in the domains of Natural Language Processing (NLP), multilingual NLP, and Computer Vision. I am driven by the challe...
About this Gig
When your model is stuck accuracy plateaued, overfitting, failing in production, or you're not sure the results are even real it helps to work with someone who has debugged thousands of models under competitive pressure.
My background: I am a Double Kaggle Grandmaster and a Senior AI/ML Engineer with over 7 years of experience deploying production-grade systems. Having won 28 competition medals and achieved top 1% global rankings among thousands of elite data scientists, I know exactly how to diagnose, debug, and push machine learning models to their absolute mathematical limits.
WHAT I DO?
Diagnose the real problem: data leakage, broken validation, label noise, wrong metric, train/serve skew
Improve performance responsibly: feature engineering, architectures, tuning, ensembling
Tabular, NLP/LLMs, computer vision, time-series forecasting, audio/speech
Production-ready: clean PyTorch/TensorFlow code, reproducible pipelines, ONNX/API deployment
Straight talk: if your ceiling is the data, I'll say so and show what data to get
Students and researchers welcome (guidance and review, with academic-integrity boundaries respected).
Programming language:
Python
•
SQL
•
Colab
Technology:
Python
•
TensorFlow
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PyTorch
•
OpenCV
•
Keras
•
Pandas
FAQ
What do you need from me?
Your code/notebook, a data sample (or synthetic stand-in under NDA), and your current metric. I'll scope honestly before you order.
What gains can I expect?
Depends where the ceiling is; often the big jumps come from fixing validation/leakage rather than fancier models. You get truth, not promises.
Which domains?
Tabular, NLP/LLM, vision, forecasting, speech/audio. If something is outside my depth, I'll say so immediately.
Confidential data?
NDA on request; anonymized samples or screen-share sessions on your machine both work.
Kaggle competition help?
Mentoring and strategy, yes; I won't ghost-compete or break competition rules.
Academic projects?
Guidance, review, and implementation help, with academic-integrity boundaries respected.
