Systems, automation, and product engineering.

Build and maintain automation-oriented software systems spanning lead generation, media production, and 3D rendering. The work covers workflow design, local implementation, deployment, and cloud-side operation, with n8n and AI/LLM integrations used to connect practical business processes.

• —Developed lead-generation automation workflows to support business development processes.
• —Built an automated news-to-YouTube pipeline using RSS feeds, OpenAI, ElevenLabs, n8n, and Google Cloud Platform to turn news articles into narrated video content.
• —Built an AI-assisted 3D asset-to-render workflow: n8n and an LLM extract requirements for up to two assets, Sketchfab provides the assets, Google Drive handles file transfer, and a Flask service on a Google Cloud VM runs Blender headlessly using xvfb-run and stores rendered outputs in Google Cloud Storage.

Blender automation case study

Contributed to backend engineering for a knowledge management platform, working across backend application development, API functionality, authentication, data management, and AI-assisted knowledge retrieval. The internship involved implementing and improving backend capabilities as part of an engineering team.

• —Contributed to backend features supporting the platform's APIs, authentication, data management, and knowledge retrieval workflows.

Completed software engineering training focused on data structures and algorithms, problem solving, programming fundamentals, and collaborative software development. The experience emphasized building strong engineering foundations through structured technical practice.

• —Strengthened algorithmic problem-solving skills through data structures and algorithms practice.
• —Practiced software engineering fundamentals, including code organization, implementation, and problem decomposition.
• —Worked in a collaborative engineering environment, developing experience with teamwork, technical communication, and shared project work.