I am an early-career engineer and founder focused on applied AI systems: document-to-context pipelines, LLM-ready workflows, data infrastructure, and automation that lets non-specialist users operate complex systems without living inside the implementation details.
My current work spans Technical Lead work at Tekly Studio, where I own Crypt0nest.io product delivery and set engineering standards for a 44-person mixed BS/MS intern and contributor cohort, plus founder-led product ownership at Ellide, where I am building an educator-first AI study-material platform. The common thread is the same: build useful systems, make the workflow reliable, and keep AI output grounded in the source material or operational reality it came from.
I am also deepening my Go and Kubernetes fundamentals while preparing for the Certified Kubernetes Administrator exam.
Core Technologies:
- AI Product Engineering
- LLM Workflows
- Python, Go, JavaScript, SQL, NoSQL
- OpenAI & Gemini API Integration
- Google Cloud Platform: Cloud Run, GCS
- Terraform, Docker, GitHub Actions
- MLOps / LLMOps / AI Tooling
- Linux, Bash, Self-Hosting
- Data Pipelines, Validation Gates, Caching
- Technical Writing & Product Documentation