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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+multiple_docs/Thierry[[:space:]]Picture.jpg filter=lfs diff=lfs merge=lfs -text

multiple_docs/availability.txt

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+availability:
+-currently searching for a new contract, preferably on a b2b basis
+-I run my own limited company (https://www.ai-department.com/)
+-I am not interested in working on a permanent basis.
+-prefer to work remotely or hybrid if needed.
+-favours working within agile methodologies, using git, jira etc
+-elible to work in the UK and the European Union given I am a dual passport holder (French/British)

multiple_docs/background.txt

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+personal information:
+-I am Thierry Decae's private chatbot 
+-This chatbot was built by Thierry Decae
+-born in the north of france (calais), but grew up in the alpes (Annecy).
+-married with one child.
+-has been living in the UK (london) for over 30 years.
+-i'm a dual passport holder (french / british)

multiple_docs/chatbot_exp.txt

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+I have a good knowledge of how to build chatbots. I recently lead the development of a chatbot for the 2024 Mutua Madrid Tennis open
+and also built several chatbots in my spare time including this one!
+
+The madrid open chatbot project I worked on involved using AWS bedrock
+
+how was this chatbot built:
+it was built using python, langchain and gradio
+
+what i can do with langchain:
+as per this chatbot, I'm able to fine tune chatGPT to my own data and use different models from the huggingface platform.
+I also have knowledge of how to implement Chain of Thought (CoT) and conversational bots
+
+I have also worked on personal projects such as chatting to PDFs etc

multiple_docs/contact.txt

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+how to contact:
+- easiest way to contact me is to send a message via linkedin profile (https://www.linkedin.com/in/thierry-decae-4934262/). But it should be noted that before doing so, the user should really check whether Thierry would be interested in the role they have to offer by asking questions to this chatbot, and also checking whether Thierry is available for new projects.

multiple_docs/education.txt

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+education and studies/universities:
+
+2024:
+- LangChain in Action Develop LLM-Powered Applications (Udemy)
+
+2023:
+- MLOps Machine Learning Operations, Duke University (Coursera)
+- Snowflake the Complete Masterpiece (Udemy)
+- Looker and LookML (Udemy)
+- Azure Data Factory + Synapse Analytics End to End ETL project (Udemy)
+- Scala and Functional Programming Essentials (Udemy)
+
+2022: 
+- NLP Specialization through deeplearning.ai / Coursera: NLP with Vector Models, NLP with Probabilistic Models, NLP with Sequence Models, NLP with Attention Models
+
+2021:
+- Pytorch for Deep Learning with Python (Udemy)
+
+2020:
+- Spark and Python for Big Data with PySpark (Udemy)
+
+2018:
+- Deep Learning Specialization through deeplearning.ai/ Coursera: Neural Networks and Deep Learning, Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models
+
+2006:
+- MBA Warwick Business School (Distance Learning): Final year dissertation project involved a clustering of the European Fund Management industry
+
+1995: 
+- CIM Diploma
+
+1993:
+- ERASMUS Exchange Programme Amsterdam School Of Business (Hogeschool voor Economische studies)
+
+1991 to 1995:
+- B.A. (HONS) International Marketing Management (2:1) Bournemouth University (included a 1 year work placement)
+
+1991:
+- French Baccalaureate Passed with distinction (Mention Bien) in Annecy High School, Annecy, France 

multiple_docs/experience.txt

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+experience:
+-in my most recent projects, I worked for Sky TV Network where I built algorithms for fraud detection ; I also recently worked for BBC on their
+search algorithms for BBC Iplayer application.
+-is a data scientist with DevOps and Mlops knowledge.
+-Experienced Data Scientist specializing in client interactions, equipped with cloud engineering expertise.
+-Has a robust understanding of MLOps principles and NLP techniques in particular.
+-likes learning new skills, creating and deploying machine learning models and pipelines for NLP,
+recommender systems, deep learning, im tries to continuously learn new skills.
+-is Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
+-has over 20 years experience in data science.
+-speaks the following languages: french, english and spanish.
+-has the following technical skills: Python, PyTorch, Spark , Keras ,Bigquery, kubeflow , SQL, Athena, Databricks/Azure, Data Factory, AWS ,S3, GCP , SageMaker , Docker, PowerBI / DAX, Tableau , Google Data Studio ,Looker, Snowflake, Shiny, Roboflow.
+-able to use large language models to create NLP tasks and chatbots such as this one.
+-you can find more information about my experience in my github page (https://github.com/thierrydecae).
+-in working for Deloitte I worked on secondment at Fable Data Ltd, a leading data aggregator and data science company which aims to use machine learning algorithms/NLP and various processes to provide award-winning, real-time datasets to government, central banks, investors and corporate organizations. I was responsible for leading a pod/end to end 
+product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git.
+-has great experience using NLP and ML to analyse call centre interactions / calls from customers, using models like Whisper and building pipelines.
+actually built a tool to analyse call center conversation, detecting topics vs sentiment, speed of speech etc
+-in terms of chatbot experience, I did a short project in february for Neurons Lab Ltd, where I led the team that built a chatbot for the Mutua
+Madrid Open Tennis. I also built this chatbot of course!
+

multiple_docs/various.txt

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+what like to do in spare time:
+jogging, mountain hiking when in the alpes, cooking
+
+how was this chatbot built:
+-it was built in github codespaces, using python, langchain and gradio
+-the algorithm used was from open.ai, but i'm also familiar with the huggingface platform (https://huggingface.co/) and large language models (LLM)
+
+financial expectations:
+-it is better to discuss expected salary or financial expectations directly with Thierry, I'm just a bot
+-i'm happy to work inside or outside IR35, if i work inside this would need to be reflected in the rate
+-to discuss daily rate it's better to talk to Thierry directly