Professional Summary Software engineer with expertise in machine learning, natural language processing, and full-stack development. Leveraging my unique background in both law and technology to build innovative solutions for complex business problems.

My recent commercial work

• Lexilia - AI-Powered Legal RFP Platform: Developed a web platform (Lexilia) for assisting General Counsels in major companies to hire the most suitable law firm (legaltech startup). The platform includes:
  • Request for Proposal ('RFP') module that collects data from client users via an RFP form and generates RFP text.
  • Recommendation module that suggests the most relevant law firms from a Neo4j database using embeddings and graph features.
  • Pitch module that collects responses to RFPs from law firms.
  • Analysis module that evaluates client requirements against law firm pitches and scores firms based on a set of features.
  • Data crawler, scraper, and feature extraction pipeline.

What I'm working on now

• Building AI-library with Knowledge Graph and LLM chat dev repo
• Upskilling my math skills in ML and MLOps

Technical Expertise

skills = {
    "Languages": ["Python", "TypeScript", "SQL", "Cypher"],
    "Machine Learning": {
        "Main Libraries": [
            "PyTorch", "Spacy", "Textacy", "Sentence-transformers", "Numpy", "Pandas", "Scikit-learn"
            ],
        "Agents Frameworks": ["CrewAI"],
        "Local LLM running": ["Ollama", "Huggingface"],
    },
    "Backend": ["FastAPI", "Django", "Flask"],
    "Frontend": ["React", "Nextjs", "TailwindCSS"],
    "Database": ["MongoDB", "LLamaIndex", "Weaviate", "Neo4j", "PostgreSQL", "Redis"],
    "DevOps": ["Docker", "AWS", "Ansible"],
    "Git": ["Gitlab", "Github"]
}

Key Areas of Expertise:

• NLP & Information Retrieval Systems
• Full-Stack Web Application Development
• Legal Tech & Document Automation
• Knowledge Graphs

Unique Perspective: Prior to engineering, I practiced as a corporate and venture lawyer for 8 years, giving me unique insights into both business needs and technical implementation.

Open to discussing:

• ML/AI Engineering roles
• Legal Tech consulting
• Innovative projects at the intersection of law and technology
• Fullstack applications powered by LLM, RAG (including Graph RAGs)