Aditya Abhiram User

Designed a LangGraph multi-agent architecture for a secure multi-agent RAG platform, built an evaluation loop with claim-level pass/fail criteria, and delivered v3 with licence-cleared models and MCP tool servers. Also developed a computer-vision model training platform with PyTorch and Django.

Implemented LLM structured extraction in production using GPT-4o and FastAPI, and contributed to a serverless AWS Amplify AI banner generator as part of a three-person team.

Built a satellite-image visual search engine using RemoteCLIP embeddings and FAISS indexing for generic and ship detection.

Built a multi-stage satellite super-resolution pipeline with ESRGAN and VGG perceptual loss, and developed MLflow tracking and deployment pipelines.

Built a multi-stage satellite super-resolution pipeline with ESRGAN and PyTorch, and developed MLflow tracking and deployment pipelines.

Pursued a Bachelor of Engineering in Computer Science and Engineering with a focus on AI and ML, in collaboration with IBM.