What Do You Do?

I am currently a Solutions Engineer at Arango, working on database solutions for AI-powered applications. I specialize in designing and implementing scalable data infrastructure that enables AI systems to process, store, and retrieve information efficiently. Previously, I worked at Thoughtworks as Software Engineer Consultant where I held different roles. My last role was as a Forward Deployed Engineer, where I developed custom integration middleware using TypeScript and Express.js to bridge AI conversational platforms with enterprise systems. Before that, I worked as an AI Engineer, focusing on R&D for agentic workflows and domain-specific language models.

I hold a Master’s in Computer Science from Pace University, with coursework in Pattern Recognition, Data Science, Artificial Intelligence, and Parallel Processing. My background includes a BSc in Psychology, which informs my approach to human-centered AI design.

What Do You Know?

My expertise spans TypeScript, Python, .NET, Azure (AKS, Container Registry), GCP (Vertex AI), Docker, Kafka, and Cloudflare Edge. I specialize in LLM fine-tuning using LoRA and CUDA-optimized training pipelines.

I have extensive experience with RAG systems, CrewAI, and benchmarking tools like LM-Evaluation Harness.

I’m passionate about scalable data engineering, AI-enabled workflows, and architectural decision-making. Microsoft Azure Fundamentals certified.