sayan shee

Swiggy Delivery Time Prediction – MLOps Pipeline

Orchestrated a 6-stage DVC pipeline for 45,593 food-delivery orders, engineering features and training a stacked ensemble achieving 3.16 min MAE. Implemented MLflow tracking, automated pytest CI gates, and containerized deployment to AWS EC2 via GitHub Actions.

PythonDVCMLFlowDockerEC2GitHub ActionsCI CDfastAPILightGBMRandom ForestPandasNumPy

ResearchGPT – RAG Research Paper Assistant

Architected an agentic RAG system using LangGraph, FastAPI, React 19, Qdrant, and LLMs, with dynamic query routing and isolated per-session retrieval state. Implemented multi-source ingestion, vector search, SSE streaming, and a DeepEval evaluation harness achieving high relevancy and faithfulness scores.

LangGraphfastAPIReactQdrantLLMRAGVector DatabasesEmbeddingsRerankingDeepEvalPython

Research Assistant (Thesis)

Engineered an end-to-end Florence-2 + Phi-2/Phi-3 multimodal AI pipeline for task-driven object detection, integrating MLCoT reasoning with a Structured Object Knowledge Base. Evaluated the system against baseline pipelines for task-aware filtering and assistive computer vision.

PythonPyTorchTransformersMultimodal AIObject DetectionComputer Vision

M.Tech in Robotics and Machine Intelligence

Pursuing M.Tech in Robotics and Machine Intelligence with a CGPA of 8.67.

Bachelor of Engineering

Completed Bachelor of Engineering with a CGPA of 7.46.