Experience
I'm a Data Scientist and AI Engineer with a foundation in Economics and project leadership. Having previously managed high-stakes research for tier-1 management consulting firms, I specialize in bridging the gap between complex business problems and technical execution. Today, my work focuses on architecting production-ready RAG workflows, building agentic AI pipelines, and evaluating LLMs to drive measurable operational efficiency.
Here is a look at my professional and academic journey so far.
- Architected 5 production-ready RAG workflows using Copilot Studio and Power Automate.
- Eliminated a 15-person weekly manual triage meeting by automating user feedback classification.
- Evaluated LLMs (GPT-5.1, Claude 4.5) for unstructured data extraction, optimizing prompts to mitigate hallucinations.
- Led a 7-person team to architect an end-to-end AI recruitment pipeline.
- Reduced manual CV screening time by 95% using intelligent n8n workflow orchestration.
- Built agentic pipelines to detect AI-generated content and generate personalized candidate feedback.
- Academic Excellence:
- 88% WAM (3.9/4.0 GPA)
- 3.9/4.0 GPA
- Seek Top 100 Future Leaders Finalist (Quantium Data & AI Award)
- Master's Thesis: Researching and developing frameworks using LLMs to simulate and predict household energy consumption behaviors.
- Deep Neuron AI Team: Active contributor to university AI initiatives and projects.
Applied Projects:
- Led a team of 3 across 70+ research projects for tier-1 consulting clients including Bain, BCG, McKinsey, and PwC.
- Developed bundled CV-products for RfPs, increasing per-project revenue by 8%.
- Generated $3k average revenue per project, outperforming internal benchmarks by 20%.




