Dr. Siwar Jendoubi — Senior AI Scientist & Data Scientist based in Paris, specializing in NLP, Generative AI and Document Intelligence
# Expertise in AI Systems
def analyze_documents(docs):
# RAG for intelligent extraction
insights = extract_insights(docs)
# Fuzzy clustering
patterns = identify_fuzzy_patterns(insights)
return optimize_process(patterns)Dr. Siwar Jendoubi is a Paris-based AI Scientist & Data Scientist with a decade of hands-on experience specializing in automated document intelligence and information extraction. Expert in designing advanced NLP and LLM systems that transform unstructured text into actionable insights for enterprise environments.
Creative solutions for complex business problems, delivering 50%+ efficiency gains through innovative algorithms and novel approaches.
Focus on delivering measurable business impact and data-driven decision making with quantifiable outcomes.
20+ publications, international conference presentations, and clear stakeholder communication across technical and business teams.
End-to-end project delivery with >90% success rate from planning to deployment, ensuring alignment with business objectives.
Mentored PhD students to successful defense, supervised DBA candidates' research, and led intern teams on AI projects.
"I combine deep technical expertise with strong business acumen to deliver AI solutions that are innovative, practical, scalable, and deliver measurable ROI. My approach bridges cutting-edge research with real-world applications."
Let's discuss how my expertise in AI, NLP, and Document Intelligence can drive innovation and efficiency in your organization.
End-to-end AI solutions from research to production
DBS Banking • 2022-2023
Multi-label classification system for customer service emails, improving accuracy from 70% to over 90% through enhanced data preprocessing.
Financial Spreading • 2021-2022
Automated extraction of financial tables from PDF reports using hybrid CV/NLP pipeline, achieving 95%+ accuracy on critical financial data.
Trading Systems • 2020-2021
Clustering solution for trading system reconciliation, reducing dataset by 96% while maintaining 97% of critical root cause information.
Two evidential data based models for influence maximization in Twitter
Read Abstract →Available for AI consulting mandates, research collaborations, and full-time opportunities in NLP, LLMs & Document Intelligence
Paris, Île-de-France
Open to: Remote • Hybrid • On-site
Prefer email? Reach me directly at: jendoubi.siwar@yahoo.fr