Computer Science Undergrad building Agentic & Autonomous AI systems that goes beyond static prompt–response models.
I design LLM-powered agents capable of reasoning, planning, collaborating, and acting safely in real-world environments.
My work spans Agentic AI, Multi-Agent Architectures, and Autonomous Decision Systems, with hands-on experience deploying production-grade GenAI pipelines across healthcare, emotional intelligence, and real-time perception.
I enjoy transforming complex ideas into robust, secure, and scalable AI systems ready for real-world deployment.
- Agentic & Autonomous AI — planning, tool-use, self-reflection, multi-agent coordination
- Generative AI & LLM Engineering — RAG pipelines, memory-aware agents, prompt safety
- AI Safety & Reliability — guardrails, autonomous evaluation, emergency bypasses, compliance-first design
- Self-Improving Agents — reflection loops, memory persistence, adaptive behavior
- Multi-Agent Collaboration — complex task decomposition and coordination strategies
- Full-Stack AI Products — end-to-end systems from model to production UI
