Experienced ML engineer building TextClassification model using BERT
Hi,
I believe my experience and skills are a perfect match for this ML Engineer role.
As an experienced ML Engineer with a strong focus on NLP, I have worked extensively with transformer models like BERT, particularly in text message analysis and structured information extraction. My proficiency in Python, along with my familiarity with TensorFlow/PyTorch and Hugging Face Transformers, aligns well with the technical demands of this role.
I look forward to sharing more of my work with actual clients once we move forward with my application. For now, let me share a Colab Notebook from a Kaggle Competition on Text Classification, where I fine-tuned a BERT model and achieved good results on a noisy dataset. —Someone from your team could even use this notebook as a starting point for the project: https://colab.research.google.com/drive/163nWP-OsQW_q0-Awa1LCJQloamEkYzqU?usp=sharing
I would also like to emphasize my experience in deploying ML projects.
For Tastet.ca, I designed, developed, and launched the API and the data pipeline supporting their AI solution using a Flask API, containerized with Docker, and hosted on GCP.
We can consider a similar approach for your project if it aligns with your business needs.
My problem-solving capabilities, combined with excellent communication skills, make me an ideal candidate for this role. I am enthusiastic about the opportunity to collaborate with your team.
For a more detailed view of my work and methodology, please visit my website at www.aidotai.com.
Thank you for considering my application.
Best regards,
Alassane Diop
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🆕 I would like to mention that I am new to Upwork, with a proven track record of projects offline. Please visit aidotai.com