Professional Experience

Experienced in LLM, NLP, AI, Machine Learning, and Privacy-Preserving technologies, from research to production systems.

Research Engineer

Hornetsecurity • Hem, France

Aug 2022 - Present

Hornetsecurity is a leading global provider of cloud security, compliance, backup, and security awareness, protecting over 6 billion mailboxes worldwide.

  • Leading AI research initiatives for email security platform protecting 6B+ mailboxes globally
  • Developed and deployed LLM-based detection (>95% acc rate) for Business Email Compromise (BEC) attacks
  • Implemented fine-tuned language models for sophisticated threat detection (spam, phishing, impersonation)
  • Pioneered integration of Vision LLMs (Pixtral) for webpage scam detection, reducing false positives by 40%
  • Architected scalable ML pipeline processing billions of daily emails while maintaining GDPR compliance
  • Designed agent-based architecture for autonomous threat investigation and response
  • Mentored and established best practices for LLM deployment, monitoring in production

Vice Chair, Artificial Intelligence Committee

M3AAWG • Global

Aug 2024 - Present

The Messaging, Malware and Mobile Anti-Abuse Working Group (M3AAWG) is where the industry comes together to work against botnets, malware, spam, viruses, DoS attacks and other online exploitation.

  • Working with international group of 50+ orgs in developing AI/ML standards for cyber abuse prevention
  • Established framework for responsible LLM deployment in email security, adopted by major industry players
  • Coordinating cross-industry initiatives for secure and privacy-preserving AI in cybersecurity
  • Authored technical guidelines for large language model deployment in anti-abuse system
  • Provided talks and tutorial sessions regarding LLM and its safe uses

Senior AI Engineer

Contract.Fit • Brussels, Belgium

May 2021 - Jul 2022

Contract.Fit specializes in AI-powered document processing and information extraction solutions for enterprises.

  • Led development of transformer-based NLP systems for information extraction across 140+ document types
  • Developed computer vision solutions for detecting embedded objects in documents
  • Architected end-to-end ML pipeline processing 100K+ daily documents with 98% accuracy with automation
  • Served as Lead Developer and Tech Analyst for 4 major clients, bridging technical solutions with business requirements
  • Collaborated with sales/delivery teams to ensure smooth project deployment

Research and Development Engineer

Team Magnet, INRIA • Lille, France

Sep 2019 - Feb 2021

Magnet is a research team at INRIA Lille Nord Europe focusing on machine learning methods for mining information networks.

  • Developed collaborative computation platform for privacy-preserving statistical analysis using U-statistics
  • Implemented decentralized learning framework with differential privacy, reducing privacy budget by 45%
  • Created domain-specific language for privacy policy specification in collaboration with PhD researchers
  • Optimized homomorphic encryption for low-resource devices, reducing computation overhead by 60%

Research Assistant

MLT Lab, DFKI • Germany

Oct 2016 - Dec 2018

The German Research Center for Artificial Intelligence (DFKI) is a leading research institution in innovative software technologies.

  • Development of MaryTTS, improving voice quality by 40% through advanced neural synthesis techniques
  • Selected in Blizzard Challenge 2018 and participated in Blizzard 2017 for speech synthesis
  • Developed multi-speaker, multilingual speech synthesis system using deep learning for master thesis
  • Innovated hybrid approach for grapheme-to-phoneme conversion, achieving state-of-the-art accuracy in 5 languages
  • Created automated testing framework reducing development cycle time by 50%

Software Engineer

Tata Consultancy Services • India

Jul 2012 - Sep 2015

Tata Consultancy Services is a global leader in IT services and consulting.

  • Developed and maintained enterprise applications for clients including Johnson & Johnson and ALCOA
  • Specialized in full-stack development using Java, C++, and Python technologies
  • Collaborated in cross-functional teams to deliver high-quality software solutions
  • Implemented automated testing frameworks improving code coverage by 40%