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As a results-driven AI-integrated full stack Python developer with 4 years of experience spanning Banking and Healthcare, I design and deploy LLM-powered applications, scalable APIs, and data-driven platforms. I thrive on turning complex problems into practical solutions that improve performance, scalability, and user experience. I bring strong expertise across Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud deployments on AWS and Azure. I enjoy building end-to-end solutions from UI to AI backend, embracing CI/CD, Docker, Kubernetes, and Agile practices to deliver robust, enterprise-grade systems.…As a results-driven AI-integrated full stack Python developer with 4 years of experience spanning Banking and Healthcare, I design and deploy LLM-powered applications, scalable APIs, and data-driven platforms. I thrive on turning complex problems into practical solutions that improve performance, scalability, and user experience. I bring strong expertise across Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud deployments on AWS and Azure. I enjoy building end-to-end solutions from UI to AI backend, embracing CI/CD, Docker, Kubernetes, and Agile practices to deliver robust, enterprise-grade systems.

Satya Sri Lasya Mundru

Full Stack Developer, Web Developer, AI Engineer, +2

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As a results-driven AI-integrated full stack Python developer with 4 years of experience spanning Banking and Healthcare, I design and deploy LLM-powered applications, scalable APIs, and data-driven platforms. I thrive on turning complex problems into practical solutions that improve performance, scalability, and user experience. I bring strong expertise across Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud deployments on AWS and Azure. I enjoy building end-to-end solutions from UI to AI backend, embracing CI/CD, Docker, Kubernetes, and Agile practices to deliver robust, enterprise-grade systems.…As a results-driven AI-integrated full stack Python developer with 4 years of experience spanning Banking and Healthcare, I design and deploy LLM-powered applications, scalable APIs, and data-driven platforms. I thrive on turning complex problems into practical solutions that improve performance, scalability, and user experience. I bring strong expertise across Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud deployments on AWS and Azure. I enjoy building end-to-end solutions from UI to AI backend, embracing CI/CD, Docker, Kubernetes, and Agile practices to deliver robust, enterprise-grade systems.

Available to hire

As a results-driven AI-integrated full stack Python developer with 4 years of experience spanning Banking and Healthcare, I design and deploy LLM-powered applications, scalable APIs, and data-driven platforms. I thrive on turning complex problems into practical solutions that improve performance, scalability, and user experience.

I bring strong expertise across Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and cloud deployments on AWS and Azure. I enjoy building end-to-end solutions from UI to AI backend, embracing CI/CD, Docker, Kubernetes, and Agile practices to deliver robust, enterprise-grade systems.

Skills

Experience Level

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Python Developer at Fifth Third Bank

January 1, 2025 - Present

Designed and deployed AI/ML and LLM-assisted fraud detection pipelines using PyTorch, Scikit-learn, and NLP models, reducing false positives by 20%. Built an LLM-powered fraud analysis assistant using LangChain + OpenAI APIs for real-time insights into suspicious transactions. Developed FastAPI microservices integrated with React dashboards for real-time monitoring. Automated ETL workflows with Airflow to process structured/unstructured data into AWS Redshift. Implemented RAG-based document retrieval for fraud investigation reports. Created interactive React + Power BI dashboards for risk analytics and fraud trends. Leveraged AWS Lambda + S3 for event-driven processing, reducing latency by 40%. Optimized ML models with hyperparameter tuning, improving accuracy by 15%. Implemented CI/CD pipelines using Jenkins, Docker, Kubernetes for scalable deployments. Applied data validation frameworks (Great Expectations) for governance. Collaborated with cross-functional teams in Agile environment

AI Python Developer at Elevance Health

June 1, 2024 - December 31, 2024

Built LLM-based healthcare assistant using Hugging Face + LangChain for claims summarization and insights. Designed NLP pipelines for claims classification using Transformers and NLTK. Developed end-to-end full stack solution with React frontend + FastAPI backend for claims processing dashboards. Implemented RAG architecture for retrieving patient records and clinical documents. Built scalable ETL pipelines using PySpark and Azure Data Factory. Deployed AI models on Azure Kubernetes Service (AKS) using Docker. Integrated real-time APIs for claim adjudication, reducing processing time by 30%. Created interactive dashboards using Power BI for healthcare analytics. Ensured HIPAA compliance through secure data pipelines and validation frameworks. Monitored systems using Prometheus and Grafana.

Python Developer at Birlasoft

June 1, 2021 - July 31, 2023

Developed full-stack banking applications with Flask backend and React frontend. Built AI-driven loan prediction models using Scikit-learn. Implemented chatbot features using NLP techniques for customer query automation. Designed REST APIs for banking microservices. Migrated legacy ETL pipelines to PySpark, improving performance by 40%. Created dynamic dashboards using React + Tableau/Power BI. Automated compliance reports using Python. Optimized SQL queries and stored procedures for high-volume transactions. Deployed applications using Docker and Kubernetes. Integrated CI/CD pipelines with Jenkins. Worked in Agile teams delivering scalable solutions.