Lahari Raparthi

about

I am a Computer Science and AI/ML student focused on agentic AI, LLM applications, autonomous systems, and computer vision. I design and prototype reliable multi-agent workflows, including orchestrator, worker, and independent checker-agent patterns for production-oriented AI assistants. In my current AI Developer Internship, I evaluate LLM-based solutions, extend existing pipelines, validate systems against real-world documents, investigate logs and bottlenecks, and document validator logic and architecture decisions. I also manage supporting AWS infrastructure across S3, Lambda, EC2, ECS, RDS, and Kubernetes. My research experience includes building a lightweight indoor spatial-navigation system using knowledge distillation, YOLOv8 object detection, MiDaS depth estimation, and spatial reasoning. I work comfortably in fast-paced prototype environments and can contribute Python development, AI solution design, computer vision experimentation, technical reports, architecture diagrams, and clear research documentation.