Jenil Goti

I’m an AI/ML Engineer specializing in Agentic AI, LLM systems, and Retrieval-Augmented Generation (RAG). I’ve focused on designing scalable AI systems that work in real-world deployment, from training and deploying models to delivering REST APIs that integrate cleanly with production workflows. I enjoy pushing performance through iterative evaluation and debugging across different model options.

In my roles at Annotate Hub.AI, I designed and implemented AI/ML systems for performance and scalability, evaluated multiple machine learning models, and deployed pre-trained models on AWS EC2. I also built multi-agent pipelines using LangChain and LangGraph, including an end-to-end multi-agent research assistant with a full RAG pipeline and vector search via Qdrant. Alongside this, I develop computer-vision solutions (e.g., real-time tracking with YOLOv8 + ByteTrack) and I’m currently pursuing an M.Sc. in Machine Learning and Data Analytics at Hochschule Aalen.