Automate end-to-end AI pipelines. Adapt and prompt LLMs for efficient data processing and content generation. Research methodologies for AI infrastructure optimization.

Developed a system for real-time sentiment analysis by automating news data processing with suitable machine learning frameworks and integrating with the Google Gemini API achieving 100% of project milestones.

Created an AWS cloud pipeline to predict energy consumption from historical data, with batch processing under 5 seconds. Delivered fully automated AI pipelines managing to stay within a budget of $500/month through optimizing resource allocation.

Reduced CGI scene creation by 75% time through custom automation addons and building reusable procedural geometry and computer vision tools.

Completed projects an average of 20% ahead of schedule by demonstrating strong collaboration skills and effective communication with a cross-functional team of up to 5 professionals.

Set up low-latency networks and developed control systems, ensuring 100% uptime for media art installations.