Sandeep Guthikonda

Developed Disney Store survey data pipeline with sentiment
analysis and GPT/Gemini-powered weekly feedback
summarization for product insights
Built multimodal Al video processing app generating MoM,
summaries, and Q&A; deployed on Azure
Created GenAl Medical Document Assistant (Streamlit) with
PDF/DOCX ingestion, GPT-40 Q&A, agentic multi-role
responses, and secure Ul
Designing enterprise RAG chatbot for text, /table/image/HTML
documents with dynamic vector DB updates and scalable
retrieval in DatalKU for OTSUKA.
Delivered actionable GenAl solutions across retail feedback,
meeting intelligence, clinical documentation, and enterprise
knowledge systems

Generating question and answers by Parsing BOSCH Domain
documents with LLMs through LangChain, Lilama index and
vllm with Chainlit Ul using Generative Al.
Working with the latest LLMs like llama, mpt, longchat,
StableBeluga, Mistral, Mixstral
Experience on prompt engineering. Worked with chain of
thoughts, ReAct(Reason+Action) in Langchain
Worked on generative QA using Retrieval-augmented
generation (RAG). Trained RAG and HF Embedding models.
Seamlessly orchestrated the entire NLP development lifecycle
using leading MLOps frameworks (Docker, Azure)

Recommendation system for a hotel chain on food items.
Experienced finetuning techniques to suit custom requirements.
Data wrangling and selecting best features to develop better Ml
models