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GenAI Career & Technical Advice
Practical guidance on LLMs, RAG, Agentic AI architecture
About me
I'm a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 specializing in 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 with 7 years building intelligent systems across banking, asset management, and legal domains. Currently developing production-ready GenAI workflows at a private asset management firm.
𝗥𝗲𝗰𝗲𝗻𝘁 𝗜𝗺𝗽𝗮𝗰𝘁:
- Built a Legal Intelligence Assistant using enriched metadata extraction, hybrid semantic search, and validation layers - serving 15+ legal professionals
- Designed a Fee Proposal Agent leveraging historical client data and BPS-based reasoning for automated pricing recommendations
- Working on enterprise-wide GenAI transformation strategy, proposing automated metadata enrichment workflows that convert traditional data silos into intelligent vector databases, creating foundation for AI-native applications serving 100+ users
𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 & 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽:
Weekend GenAI Educator at Boston Institute of Analytics, training professionals in:
- Transformers architecture
- Advanced Prompt Engineering/Debugging & Agentic Workflows
- LangChain & LangGraph ecosystem with custom tool integration
- LLM Fine-tuning techniques for domain-specific applications
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸:
Python | LangChain & LangGraph & AutoGen | Azure ML & AWS | Vector DBs (Pgvector/FAISS/OpenSearch) | Transformers | LLM Fine-tuning | FastAPI | Docker | Streamlit
Lionel Lawrence
📧 lionel2997@gmail.com 📱 +91-917 676 0927