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Naga Venkata Sai Pavan Papi Reddy PadalaNP
Open to opportunities

Naga Venkata Sai Pavan Papi Reddy Padala

@nagavenkatasaipavanp

I build production AI applications, APIs, and data pipelines with Python.

United States
Message

At U.S. Bank, I build FastAPI backend services and React-powered AI applications, including a modular fraud investigation platform using LangChain and Python. I improved OpenSearch retrieval precision by 25%, maintained sub-50 ms p99 API latency, and increased AI content interaction accuracy by 20% through OpenAI integration.

Previously at Target, I developed recommendation pipelines using BERT embeddings and PySpark, increasing click-through rates by 7%, and built GPT-3.5 attribute-extraction tools that expanded catalog metadata coverage by 40%.

At Infosys, I delivered OCR, NLP, and secure Flask API solutions for regulated data workflows. I improved OCR accuracy by 35%, reduced data ingestion errors by 22%, and automated document extraction to reduce manual review by 40%.

Experience

Work history, roles, and key accomplishments

UB
Current

Applied AI Engineer

U.S. Bank

Jan 2024 - Present (2 years 7 months)

Designed Python backend services with FastAPI for real-time AI applications, implementing asynchronous REST APIs with authentication and role-based access. Optimized OpenSearch query pipelines and built Kafka-based data processing with PostgreSQL, orchestrating multi-agent workflows with LangChain.

Education

Degrees, certifications, and relevant coursework

University of Massachusetts Dartmouth logoUD

University of Massachusetts Dartmouth

Master of Science, Data Science

2023 - 2024

Grade: 3.96

Pursued a Master of Science in Data Science with a CGPA of 3.96.

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