Prudhvi P.

About Prudhvi P.

Python Developer with 5+ years of experience building scalable AI-driven, cloud-native, and data-intensive applications across banking, retail, and analytics domains. Skilled in FastAPI, Flask, Django, PySpark, LangChain, and Hugging Face, with hands- on expertise in RAG pipelines, LLM fine-tuning, and predictive modeling. Proven ability to automate workflows, optimize databases, and deploy microservices on AWS and GCP, delivering secure, high-performance, and business-impactful software solutions.

Experience

1. Python Developer

   Capital One

   Aug 2024 — Present

   Designed and implemented GenAI-driven automation solutions using Python 3.x and Hugging Face Transformers, streamlining customer communication, credit evaluation, and document intelligence across digital banking workflows.•Developed Retrieval-Augmented Generation (RAG) pipelines with FAISS and Pinecone for contextual retrieval from regulatory and financial document repositories, improving AI summarization accuracy by 30%.•Built Agentic AI workflows using LangChain and LlamaIndex to automate loan eligibility, KYC validation, and compliance checks, reducing manual review time by 35%.•Fine-tuned Large Language Models (LLMs) in PyTorch and Transformers to interpret financial language and credit risk parameters, enhancing contextual understanding by 25%.•Engineered and deployed secure RESTful APIs using FastAPI, enabling seamless integration of GenAI models with internal banking systems for real-time analytics and customer interactions.•Developed the “Personalization Engine for Banking-Products Recommendation”, leveraging LLMs, LangChain, and behavioral analytics to generate tailored product suggestions (loans, cards, savings plans) — achieving 30% higher engagement and 15% uplift in cross-sell conversions.•Automated ETL and AI workflows with Prefect and Apache Airflow, accelerating data processing by 40% and ensuring reproducible AI model training and deployment.•Deployed scalable AI microservices on Google Cloud Platform (Vertex AI, Compute Engine), ensuring high-availability and low-latency inference for personalization and credit scoring modules.•Implemented advanced API security using OAuth 2.0 and JWT authentication, maintaining compliance with SOC2 and ISO 27001 standards for sensitive financial and KYC datasets.•Collaborated with cross-functional DevOps and Data Science teams using Git and CI/CD pipelines to deliver version- controlled, audit-ready AI deployments aligned with internal governance standards.

Education

• Andhra University College of Engineering

  Bachelor's degree, Computer Science

• University at Buffalo

  Master's degree, Computer Science