William Abhamon

• • Architected the foundational technology stack and led product development for an AI-powered medical HR platform, transitioning the company from a conceptual MVP to a fully operational, revenue-generating Agentic SaaS application.

• • Engineered and deployed proprietary Retrieval-Augmented Generation (RAG) and NLP pipelines to autonomously ingest, extract, and analyze complex entities from unstructured medical documents, drastically accelerating data processing.

• • Pioneered a zero-trust security framework establishing strict RBAC and SSL/TLS cryptographic standards, ensuring 100% platform compliance with European data sovereignty laws (GDPR, Swiss FADP) to secure enterprise client trust.

• • Architected and deployed end-to-end, GxP-compliant data pipelines for clinical workflows, automating complex data ingestion processes for feasibility studies.

• • Engineered deterministic compliance guardrails by natively integrating ALCOA+ principles and immutable audit trails into RAG/NLP architectures, achieving 100% data integrity readiness for FDA/EMA audits.

• • Directed the statistical validation of complex preclinical datasets leveraging advanced NLP evaluation metrics (ROUGE, BLEU, BERTscore) to align AI model outputs with core customer business KPIs.

• • Orchestrated automated deviation tracking and forensic data validation systems to establish zero-tolerance technical safeguards against data anomalies.

• • Re-engineered legacy, manual biophysical processing workflows into highly automated, scalable data pipelines, improving reproducibility and accelerating the processing speed of high-dimensional assays by 80%.

• • Designed and executed complex Monte Carlo Simulations derived from live biological datasets, establishing highly accurate predictive models for critical downstream biological parameters.