Sujith Ari

Designed and developed scalable backend microservices using Spring Boot, Hibernate, and REST APIs to support high-volume banking apps and distributed systems. Built AI-powered applications with LangChain and LLaMA-based LLMs, implementing RAG pipelines for intelligent search, chat workflows, and knowledge retrieval. Created Python-based NLP services (BERT, RoBERTa) for text classification, sentiment analysis, and entity recognition, integrated into production workflows. Developed secure backend services and AI APIs using Django and FastAPI, enabling real-time processing, authentication, and scalable data-driven features. Integrated ML models with Scikit-learn and TensorFlow, deploying AI services that improved automation and reduced manual processing. Deployed full-stack and AI applications on Microsoft Azure with containerized deployments and CI/CD pipelines, ensuring scalability and reliability. Collaborated in Agile teams to design AI-enabled microservices, improving system performa

Designed and developed scalable backend microservices using Spring Boot, Hibernate, and REST APIs, supporting high-volume enterprise banking applications and distributed systems. Built AI-powered applications using LangChain and LLaMA-based large language models, implementing Retrieval-Augmented Generation (RAG) pipelines for intelligent search, chatbot workflows, and knowledge retrieval solutions. Developed Python-based NLP services using transformer models such as BERT and RoBERTa, enabling text classification, sentiment analysis, and entity recognition integrated into production workflows. Built secure backend services and AI APIs using Django and FastAPI, enabling real-time processing, authentication, and scalable data-driven features. Integrated machine learning models using Scikit-learn and TensorFlow, deploying AI services that improved automation and reduced manual processing effort across enterprise applications. Deployed full-stack and AI applications on Microsoft Azure, leve

Developed enterprise web applications using Spring MVC, Spring Boot, and React, implementing RESTful APIs and scalable microservices architecture. Built event-driven systems using Apache Kafka for real-time data streaming and asynchronous communication between distributed services. Designed and optimized backend data layers with PostgreSQL, implementing stored procedures, indexing, and performance tuning. Implemented ML workflows using Python and XGBoost, building predictive models for analytics-driven features and automation use cases. Provisioned and managed AWS infrastructure (EC2, IAM, VPC) to deploy secure and scalable applications, improving system performance and operational efficiency. Developed automated unit tests using JUnit and Mockito, achieving high test coverage and improving release stability. Created data visualizations with Matplotlib to present analytical insights and improve decision-making across business workflows.