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Hi, I’m Satya Sri Lasya Mundru, a results-driven AI & LLM-enabled Full Stack Python Developer with 3.5+ years of experience in Banking and Healthcare. I build AI-powered applications, generative AI solutions, scalable APIs, and data-driven platforms, blending deep Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and FastAPI with modern front-end technologies. I specialize in developing RAG pipelines, NLP systems, AI chatbots, and enterprise-grade microservices deployed on AWS and Azure. I design end-to-end solutions from UI to AI back-end to improve performance, scalability, and user experience. I’m comfortable with CI/CD, Docker, Kubernetes, and Agile methodologies, and I enjoy collaborating with cross-functional teams to deliver impactful AI-driven products.…Hi, I’m Satya Sri Lasya Mundru, a results-driven AI & LLM-enabled Full Stack Python Developer with 3.5+ years of experience in Banking and Healthcare. I build AI-powered applications, generative AI solutions, scalable APIs, and data-driven platforms, blending deep Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and FastAPI with modern front-end technologies. I specialize in developing RAG pipelines, NLP systems, AI chatbots, and enterprise-grade microservices deployed on AWS and Azure. I design end-to-end solutions from UI to AI back-end to improve performance, scalability, and user experience. I’m comfortable with CI/CD, Docker, Kubernetes, and Agile methodologies, and I enjoy collaborating with cross-functional teams to deliver impactful AI-driven products.

Satya Sri Lasya Mundru

Full Stack Developer, Web Developer, Data Scientist, +4

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Hi, I’m Satya Sri Lasya Mundru, a results-driven AI & LLM-enabled Full Stack Python Developer with 3.5+ years of experience in Banking and Healthcare. I build AI-powered applications, generative AI solutions, scalable APIs, and data-driven platforms, blending deep Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and FastAPI with modern front-end technologies. I specialize in developing RAG pipelines, NLP systems, AI chatbots, and enterprise-grade microservices deployed on AWS and Azure. I design end-to-end solutions from UI to AI back-end to improve performance, scalability, and user experience. I’m comfortable with CI/CD, Docker, Kubernetes, and Agile methodologies, and I enjoy collaborating with cross-functional teams to deliver impactful AI-driven products.…Hi, I’m Satya Sri Lasya Mundru, a results-driven AI & LLM-enabled Full Stack Python Developer with 3.5+ years of experience in Banking and Healthcare. I build AI-powered applications, generative AI solutions, scalable APIs, and data-driven platforms, blending deep Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and FastAPI with modern front-end technologies. I specialize in developing RAG pipelines, NLP systems, AI chatbots, and enterprise-grade microservices deployed on AWS and Azure. I design end-to-end solutions from UI to AI back-end to improve performance, scalability, and user experience. I’m comfortable with CI/CD, Docker, Kubernetes, and Agile methodologies, and I enjoy collaborating with cross-functional teams to deliver impactful AI-driven products.

Available to hire

Hi, I’m Satya Sri Lasya Mundru, a results-driven AI & LLM-enabled Full Stack Python Developer with 3.5+ years of experience in Banking and Healthcare. I build AI-powered applications, generative AI solutions, scalable APIs, and data-driven platforms, blending deep Python, SQL, TensorFlow, PyTorch, Hugging Face, LangChain, and FastAPI with modern front-end technologies.

I specialize in developing RAG pipelines, NLP systems, AI chatbots, and enterprise-grade microservices deployed on AWS and Azure. I design end-to-end solutions from UI to AI back-end to improve performance, scalability, and user experience. I’m comfortable with CI/CD, Docker, Kubernetes, and Agile methodologies, and I enjoy collaborating with cross-functional teams to deliver impactful AI-driven products.

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Language

English

Fluent

Work Experience

AI /ML Engineer (Python) at Fifth Third Bank

January 1, 2025 - Present

Led end-to-end development of an AI-driven fraud detection platform with real-time transaction monitoring. Designed and deployed AI/ML and LLM-assisted pipelines using PyTorch, Scikit-learn, and NLP models, reducing false positives by 20%. Built an LLM-powered fraud analysis assistant using LangChain + OpenAI APIs, reducing investigation time by 35%. Developed FastAPI microservices with React-based dashboards for real-time monitoring. Automated 1TB+ ETL workflows with Apache Airflow into AWS Redshift. Implemented RAG-based document retrieval for fraud investigation reports. Created interactive dashboards with React + Power BI. 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 via Jenkins, Docker, Kubernetes. Implemented data validation with Great Expectations, reducing data inconsistencies by 25%. Collaborated in Agile environment.

AI Python Developer at Elevance Health

June 1, 2024 - December 1, 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 clinical document retrieval, reducing lookup time by 40%. 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 with Prometheus and Grafana.

Python Developer at Birlasoft

June 1, 2021 - July 1, 2023

Developed full-stack banking applications with Flask backend and React frontend. Built AI-driven loan prediction models using Scikit-Learn, reducing loan processing time by 25% and improving decision accuracy by 12%. Implemented NLP-based chatbot, reducing customer query resolution time by 35%. Designed REST APIs for banking microservices. Migrated legacy ETL pipelines to PySpark, improving performance by 40%. Created dynamic dashboards using React + Tableau/Power BI, improving reporting efficiency by 30%. Automated compliance reports with Python. Optimized SQL queries and stored procedures for high-volume transactions. Deployed applications using Docker and Kubernetes; developed high-performance C++ modules for data processing and transaction handling to improve efficiency. Worked in Agile teams; CI/CD with Jenkins.