• Built a Full-Stack Next.js/TypeScript AI assistant platform for law enforcement, integrating LLMs (Vercel AI SDK) with tools and RAG pipelines to produce structured, context-aware content for officers.

• Drove product iteration with PostHog analytics (event tracking, session replays) and in-product feedback mechanisms, shipping improvements based on user behavior.

• Integrated Python FastAPI microservices with multimodal AI models. Infrastructure containerized with Docker, deployed on Kubernetes (GCP).

Building a social adventures platform connecting people for outdoor experiences around NYC.

From developing the full-stack and mobile app to shooting all promotional videos and managing social media marketing, I handle end-to-end operations including trip curation, logistics, and community building.

Leveraging AI tools at each level to optimize development and operations.

• Implemented a logger middleware facilitating engineers to correlate backend logs with test failures using a correlation ID, thereby reducing debug time for failed integration tests by approximately 75%. Additionally, optimized log storage to decrease disk usage from logs by 45%.

• Built Google Cloud infrastructure for new customers using Terraform, improving setup time by 50%.

• Implemented data processing pipelines and workflows using Python and libraries like pandas and NumPy, enabling efficient data manipulation. This led to the creation of a business metrics dashboard for the C-suite using Google Workspace tools.

Drone Mapping field work was done where I flew and mapped areas of farms.

Worked on a front-end web development project. The application provided costumers with the ability to take tests for the drone flighting theory and practical test as well as advertising for the school. Django framework was used for both front end and backend.