Ritvik Gautam

Background

About Ritvik Gautam

Results-oriented Gen-AI / LLM Engineer with 3 years’ experience designing and deploying LLM-driven applications for document understanding, contract analysis and question-answering. Hands-on with prompt engineering, chain-of-thought (CoT) strategies, embedding engineering, semantic retrieval, RAG architectures, and LLM fine-tuning. Built vector search pipelines (FAISS, ChromaDB), experimented with segmentation tools (PyPDF/PyPdfium/Camelot) and document parsing libraries (python-docx, docx2txt), and implemented OCR/image-to-text flows. Researched and implemented LLMOps practices including model/drift monitoring (input/output metadata, topic drift, embedding distance, robustness, toxicity), advanced sampling (K-means/DBSCAN/multilabel stratified), and statistical validation. Deployed production APIs and UIs (FastAPI, Streamlit, Gradio), operated on GCP / Vertex AI / Cloud Run, and improved extraction accuracy and system robustness in enterprise settings.