CV/Mission TESSERACT freelance

Résumé des emplois de Thomas,
freelance TESSERACT habitant Paris (75)

• Data officier NLP

  Gino LegalTech - Gino LegalTech, France
  Jan 2020 - Jan 2023

  Creation of a complete AI solutions in production:
  - Extract text from contracts (OCR)
  - Classify contract clauses
  - Identify and extract key terms
  - Link related words (e.g., address + company name)
  - Improve accuracy with active learning
  - Develop an annotation tool
  - 80% accuracy with 50 contracts, 90% with 100
  - Stable and scalable with optimisation on RAM & CPU usage

  Python NLP SQL OCR Tesseract Cython Linux Scikit-Learn GIT Numpy MariaDB Spacy Python3 Redis MLFlow OpenCV Tensorflow PyTorch Celery Nltk Django CI/CD REST API Docker Qt SaaS DevOps C++ Gensim NGINX Azure

• Data scientist Indépendant

  France
  Jan 2018 - Jan 2019

  Stock Exchange Prediction Optimization Project
  Objective: Optimize real-time stock market prediction by
  extrapolating stock option data.
  Key Subprojects:
  - Data Collection:
  Developed a Python web scraping tool using Selenium &
  BeautifulSoup.
  Scrapes stock option data in real time.
  Stores data on a web server using a Redis database.
  - Data Analysis & Prediction:
  Applied deep learning & machine learning models:
  LSTM, Perceptron, Random Forest.
  - Real-time peak detection for risk assessment.
  - Optimization:
  Speed Optimization:
  Algorithms converted to C++ & Fortran for processing under 1
  second.

  Visualization: Used OpenCL & Vispy for real-time data display. Achieved latency under 30ms. Python NLP SQL Optimization Cython Scikit-Learn Numpy MariaDB Spacy Redis C++ Fortran Selenium

• Data scientist

  Prof en Poche, France
  Jan 2017 - Jan 2017

  Developed an AI-powered chatbot that solves math exercises
  step by step and provides relevant course materials.
  Built an image recognition system using Tesseract OCR to detect
  equations in photos and convert them into LaTeX format.
  Created a seq2seq neural network to enhance AI performance
  in understanding and solving math problems.
  Improved the speed and accuracy of the AI, making it more
  efficient in processing and delivering solutions.
  Designed a second AI system capable of solving any middle to
  high school math problem step by step with LaTeX-based
  explanations.
  Implemented growth hacking strategies to evaluate marketing
  impact on the mobile app.
  Contributed to the Business Plan development and conducted a
  financial analysis for the company.

  Python NLP Python3 Latex

• Marketing MBA internshipProf en Poche, France Région de Pau, France
  Jan 2017 - Jan 2017

  • Use of growth hacking method for a mobile application
  impact evaluation of several marketing approaches on the
  potential customers and study of their behaviors related to the
  market with a qualitative way
  • Contribution in the Business Plan development and the
  company financial analysis
  • Creation of an Artificial Intelligence: For a given photo, use
  Tesseract OCR then sends to students the course and exercises
  content associated with that picture. Detects the presence of
  equations and converts them into LaTeX format to solve them
  step by step
  • Development of a neural network based on the "seq2seq
  attention" model to improve the artificial intelligence result
  • Develop a parsing software in Java 8 and python 2.7
  • Develop a program which put office files in sequences in

  Python OCR Tesseract Java Office VBA Latex

• Geophysics for geomodelling: neural network classification Total, France Région de Pau, France
  Jan 2016 - Jan 2016

  • Tests and parameterizations of Sismage Neural Network to
  model seismic attribute from substacks, tutorial proposal.
  • Several Java plugins for Sismage's software were created
  Java

• Technological Educational Institute of Crete

  Seismology Internship, France
  Jan 2015 - Jan 2015

  • Magnitude and Hypocenter calculation
  • Seismic catalogue creation on Zmap

• Gravimetry Internship

  Istituto Nazionale di Geofisica e Vulcanologia, France Sicile (Région), Italie
  Jan 2014 - Jan 2014

  • Measurement on field and data processing on MatLab
  MATLAB

• Gravimetry Internship

  Istituto Nazionale di Geofisica e Vulcanologia, France Sicile (Région), Italie
  Jan 2014 - Jan 2014

  • Measurement on field and data processing on MatLab
  MATLAB

• Data scientist / ML Engineer

  BNP Paribas, France
  Jan 2013 - aujourd'hui

  Spreadauto project:
  - Use of NLP alogirthm to detect, extract and parse financial
  tables.
  - Code base refactorisation with updates from old to new
  python version.
  - Retraining models and build its automatic workflow.
  - Creation of a docker container to be used with kubernetes.
  Valuation Report project:
  - Setup an LLM with VLLM on docker along its deployment with
  jenkins and ansible with queuing capabilities on a server with
  4 A100 Nvidia GPU.
  - Setup in production an LLM with RAG technologies to extract
  financial data from financial reports.
  - Use an IBM Queue system to scale the API.
  Creation of a REST API along a DB persistency, an MlOps and
  Devops pipeline using Jenkins and kubernetes for production.
  Use an IBM Queue system to scale the API.
  Python SQL Linux Numpy REST API Docker Scikit-Learn Pandas
  API REST NVIDIA RAG Large Language Models (LLM) Ansible
  Kubernetes Jenkins Oracle