Generative AI &
Machine Learning

Engineering the next generation of neural architectures. From Transformer-based LLMs to multimodal RAG and production-ready MLOps on Google Cloud.

01 // ARCHITECTURAL_FOUNDATIONS

LLM Development

Transformer Models: Implementation of BERT, Encoder-Decoder architectures, and Attention mechanisms.
Prompt Design: Advanced Vertex AI Studio engineering and systematic prompt optimization.
Image Generation: Exploring latent spaces and diffusion-based image captioning models.

TransformersBERTPrompt Eng

02 // MULTIMODAL_ENGINEERING

Cognitive Processing

Multimodal RAG: Designing Retrieval Augmented Generation for video, audio, and rich documents.
Gemini 2.5 Flash: Implementing Long Context Windows, Context Caching, and Controlled Generation.
Neural Reasoning: Advanced analysis of YouTube streams, sheet music, and unstructured datasets.

Gemini 2.5Vector SearchRAG

03 // MLOPS_&_GOVERNANCE

Production Systems

MLOps for GenAI: Model evaluation, lifecycle management, and Vertex AI deployments.
Responsible AI: Systematic auditing for Fairness, Bias, Safety, and Privacy.
Data Intelligence: BigQuery ML integration for scalable inference and productivity boosts.

MLOpsBigQuery MLResponsible AI

04 // AGENTS_&_SDLC

Application Logic

AI Agents: Building autonomous Gemini-driven agents using Flutter and Streamlit frameworks.
Modernized SDLC: Integrating GenAI into the full software development lifecycle and website modernization.
Code Execution: Automated Python code generation and execution within secure Vertex AI loops.

AgentsStreamlitCloud Run