Damian Drewulski

Role:

Industry: Integrated professional services supporting governmental, private, and non-profit sectors across Project Management, Strategic Consulting, Investment & Venture Support, Human Capital Development, and Governance & Risk Management (GRC). Advisory

Advise C-level stakeholders on digital transformation strategy across a multidisciplinary consulting organization operating with multi-vendor cloud ang agentic solution. Design governance and compliance frameworks aligning delivery practices with international standards and local Saudi regulations. Support business development initiatives through structured data analytics, cybersecurity governance, and process transformation across multiple operational departments.

AI-Powered Knowledge Hub – Venture Building Platform

Led end-to-end technical and product strategy for an AI-powered Knowledge Hub transforming organizational document corpora into structured, evidence grounded venture opportunity briefs. Designed and delivered a 6-stage agentic AI pipeline (Ingest → Extract → Discover → Investigate → Decide → Enrich) combining: Knowledge Graph construction Hybrid retrieval: BM25 + vector search (3072-dimensional embeddings) RAG-based synthesis with autonomous LLM agents for entity extraction, insight generation, and opportunity scoring Built-in quality gates: non-obviousness validation, solution-contamination tests, source grounding workded close with product manager to define product roadmap across NOW/NEXT/FUTURE horizons and detailed technical feasibility and delivery; Led risk mitigation across data readiness, pipeline productionization, access governance, and visualization infrastructure. Tech Stack: React (frontend with interactive graph visualization), Python, ChromaDB, SQLite, Firebase Auth; pipeline containerized with Docker for cloud deployment. Architected for multi-tenant scalability targeting corpus-agnostic replication across government entities.

Lead strategic oversight of ~70 consulting staff across 7+ countries; mentor product & delivery leaders on AI integration and customer value creation. Drive business growth through new service offerings and cross-functional AI capability expansion. Establish a culture of continuous improvement by identifying process bottlenecks and scaling successful delivery patterns. Represent the company at industry events, conferences, and high-stakes client engagements.

Architected end-to-end AI-powered transcription platform to eliminate cognitive load in high-stakes meetings, enabling 100% documentation coverage (previously 5–10%). Designed a reusable AI capability ecosystem with multiple LLM agents: Automated Transcription (OpenAI Whisper) Metadata Extraction Engine for structured meeting minutes Architectural Decision Record (ADR) Generator for technical synthesis Risk Identification Agent using Lotus Blossom method for cross-team trend analysis Language Coach Agent for personalized professional communication feedback Delivered measurable OKRs: Documentation rate: 5–10% → 100% (within 30 minutes of meeting end) Risk identification time: reduced by ~40% via proactive pattern detection Manual admin labor: largely eliminated (automation handles ingestion and processing) Adoption: Successfully integrated into daily workflow across multiple teams Tech Stack: OpenAI Whisper, GPT/Gemini LLMs, Python orchestration, custom agents

Multi-Team Product

Delivered 5 innovative production projects in 12 months with two dev teams across multiple time zones. Implemented technical delivery metrics (DORA: deployment frequency, lead time, change failure rate) plus business/user metrics for full visibility.

Conducted workshops and training for 8+ delivery managers on lean discovery and metrics-driven prioritization. Transitioned from traditional delivery to lean product discovery, enabling faster validation cycles.