I’m currently working on
Building production-grade GenAI automation systems at ArcherIRM Technologies, focusing on AI assistants, multi-agent workflows, and scalable backend services using ASP.NET Core, Python, REST, gRPC, and MCP integrations.
I’m looking to collaborate on
GenAI projects involving multi-agent systems, LLM-powered assistants, AI automation, backend engineering, and cloud-native ML solutions—especially where human-in-the-loop workflows and real-world impact are involved.
I’m looking for help with
Advanced system design for large-scale AI platforms, optimizing LLM inference pipelines, and best practices for deploying secure, cost-efficient GenAI systems in production.
I’m currently learning
Advanced Generative AI architectures, LangGraph-based multi-agent systems, MLOps at scale, and performance optimization for AI-driven web applications.
Ask me about
GenAI automation, multi-agent AI systems, ASP.NET Core backends, FastAPI, AWS SageMaker deployments, CI/CD for ML, and building accessible, high-performance React applications.
Fun fact
I’ve helped reduce manual operational effort by 40% by replacing repetitive workflows with GenAI-powered automation—and I still enjoy debugging tough bugs more than writing new code 😄
