Building autonomous, stateful AI ecosystems that bridge enterprise systems with next-gen Agentic Workflows. Focusing on high-performance orchestration using LangGraph and Google ADK.
Designing autonomous agents that exhibit intent and independent decision-making.
Orchestrating complex workflows where multiple agents collaborate to solve enterprise challenges.
Building stateful, cyclic reasoning graphs for robust and persistent AI workflows.
Implementing standardized protocols to connect LLMs with local and remote data tools.
Optimizing high-precision retrieval using vector databases like Chroma and Qdrant.
Architecting Multi-Agent systems for enterprise ITOps. Hands-on development of POCs focusing on tool-calling latency and state-persistence across workflows. Managing deployments across GCP Vertex AI, AWS Bedrock, and Azure AI Foundry.
Transitioned from data engineering to AI, focusing on RAG pipelines and NLP for backend systems. Utilized PEFT for model fine-tuning and managed backend deployments.
Published research on increasing Spirulina platensis productivity using artificial neural network modeling.
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