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Sneha Cherukuri

@snehacherukuri

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Generative AI Engineer with expertise in LLM-powered solutions.

United States

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What I'm looking for

I seek a role that fosters innovation in AI, offers growth opportunities, and values collaboration.

I am a Generative AI Engineer with 5 years of experience in designing advanced LLM-powered pipelines for summarization, classification, and document retrieval across clinical and business domains. My work has involved creating document intelligence systems that leverage OCR and vision models to convert scanned PDFs and image-based reports into structured, query-ready content.

At Amgen, I developed document summarization workflows using OpenAI GPT-4, enabling clinical teams to extract key insights from large volumes of unstructured data. I have also built agent workflows using CrewAI and LangChain, automating multi-step tasks and enhancing operational efficiency. My technical expertise includes managing document pipelines with Apache Airflow and utilizing tools like Docker and MLflow for consistent deployment and performance evaluation.

Throughout my career, I have focused on building scalable solutions that improve data accessibility and usability. I thrive in environments that challenge me to innovate and push the boundaries of AI technology, and I am passionate about leveraging my skills to drive impactful results in the field of Generative AI.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

Amgen

May 2025 - Present (1 month)

Developed document summarization and reasoning workflows using OpenAI GPT-4, enabling clinical teams to extract key insights from large volumes of unstructured data. Created vector-based retrieval infrastructure with Pinecone, supporting fast and scalable semantic search across millions of processed clinical and regulatory documents.

OpenAI GPT 4 Pinecone Sentence Transformers Apache Airflow Streamlit Docker MLFlow AWS S3

AI Solutions Developer – Agentic Workflows & LLMs

Sunsource

Jul 2024 - Present (11 months)

Built agent-based automation pipelines using CrewAI, assigning reasoning roles to autonomous agents that collaborate on multi-step business processes. Developed logic-driven task flows with LangChain Expression Language (LCEL) to define condition-based routing and fallback paths for prompt-driven execution.

Crew AI LangChain Expression Language (LCEL)Flowise PromptLayer Pinecone LangServe Streamlit SyntheticGPT Airflow

Applied AI Engineer

LexisNexis

Jan 2023 - Present (2 years 5 months)

Built document classification and summarization pipelines using Python and LLMs, automating large-scale legal case analysis with minimal human review. Enabled real-time question answering by streaming prompts via Apache Kafka, powering LLM-based legal Q&A agents with live context.

Python Pyspark Apache Kafka Apache Airflow MongoDB Databricks Retrieval Augmented Generation (RAG)LLM Snowflake Power BI Tableau

Sr. Data Analyst

Capgemini

Jan 2020 - Present (5 years 5 months)

Designed and delivered 20+ interactive dashboards using Power BI to monitor supply chain metrics, warranty claims, and service performance. Automated data refreshes and reporting workflows using Power Automate and SharePoint, reducing manual effort by over 40%.