Elhadji Ngom

Context: Driving AI innovation within a Precision Medicine SaaS platform — intelligent management of biological sample inventories and Biomarker Intelligence.

▸ Design and deployment of AI Agent architectures (AWS Bedrock AgentCore) for semantic indexing and intelligent search of sample metadata.

▸ Development of RAG / GraphRAG pipelines via FastAPI; advanced Amazon Bedrock integration (Claude Sonnet/Haiku, embeddings) in a production environment.

▸ Infrastructure as Code: Terraform provisioning, AWS EKS (Kubernetes) container orchestration, automated CI/CD pipelines GitLab CI & GitHub Actions.

▸ Industrialization: Docker containerization, AWS deployment (EC2, ECR, Lambda), DeepEval model evaluation, performance testing, sensitive data management (PII).

▸ Cross-functional collaboration (product, QA, data engineering): KPIs, data governance, security strategies, and token management.

Context: Tailored professional development mission — design and delivery of a comprehensive Generative AI program applied to the organization's business data.

▸ Design and delivery of the "AI-Powered Virtual Assistants Tailored to Custom Data" program — technical and non-technical profiles.

▸ "Empowering Innovation with Generative AI" module: LLM architecture, advanced prompt engineering, RAG on INFPC proprietary data, data governance, and security.

▸ End-to-end delivery of an INFPC chatbot: data ingestion → vectorization → RAG → conversational interface; functional prototype operational and delivered.

GENAI TECH STACK

• · LLMs

◦ · RAG

◦ · NLP

◦ · Python

◦ · LangChain

◦ · Embeddings

◦ · Chatbot

◦ · Data Pipeline

◦ · Continuing professional development

Context: Initial and continuing training for engineering and data analyst profiles in recognized higher education institutions.

▸ IPSSI (2025/2026): Mathematics for Computer Science — linear algebra, statistics, optimization, algorithms — Paris, Lyon, Bordeaux.

▸ EPSI Paris (2024/2025): Machine Learning & Python + President of the professional certification jury (RNCP), evaluation of ML/AI projects in real-world conditions.

▸ Design of educational pathways focused on industry use cases; practical sessions on real data, competency-based assessment.

TECH STACK Machine Learning

• · Deep Learning

◦ · Python

◦ · Applied Mathematics

◦ · Competency-based assessment

◦ · Certification jury