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I am Sujith Ari, an AI Full Stack Engineer with 4+ years of experience building scalable cloud-native applications and LLM-powered platforms using Java, Python, React, and Spring Boot. I design AI-driven microservices, Retrieval-Augmented Generation (RAG) pipelines, and NLP solutions integrated into enterprise systems, leveraging LangChain and GPT-based applications, distributed architectures, and cloud deployments on AWS and Azure. I excel at integrating AI capabilities into full-stack systems to enhance automation, intelligent search, and real-time decision-making, while delivering secure, scalable enterprise-grade platforms. I enjoy collaborating in Agile teams to drive impactful outcomes for enterprise customers.…I am Sujith Ari, an AI Full Stack Engineer with 4+ years of experience building scalable cloud-native applications and LLM-powered platforms using Java, Python, React, and Spring Boot. I design AI-driven microservices, Retrieval-Augmented Generation (RAG) pipelines, and NLP solutions integrated into enterprise systems, leveraging LangChain and GPT-based applications, distributed architectures, and cloud deployments on AWS and Azure. I excel at integrating AI capabilities into full-stack systems to enhance automation, intelligent search, and real-time decision-making, while delivering secure, scalable enterprise-grade platforms. I enjoy collaborating in Agile teams to drive impactful outcomes for enterprise customers.

Sujith Ari

Full Stack Developer, Web Developer, Back-End Developer, +3

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I am Sujith Ari, an AI Full Stack Engineer with 4+ years of experience building scalable cloud-native applications and LLM-powered platforms using Java, Python, React, and Spring Boot. I design AI-driven microservices, Retrieval-Augmented Generation (RAG) pipelines, and NLP solutions integrated into enterprise systems, leveraging LangChain and GPT-based applications, distributed architectures, and cloud deployments on AWS and Azure. I excel at integrating AI capabilities into full-stack systems to enhance automation, intelligent search, and real-time decision-making, while delivering secure, scalable enterprise-grade platforms. I enjoy collaborating in Agile teams to drive impactful outcomes for enterprise customers.…I am Sujith Ari, an AI Full Stack Engineer with 4+ years of experience building scalable cloud-native applications and LLM-powered platforms using Java, Python, React, and Spring Boot. I design AI-driven microservices, Retrieval-Augmented Generation (RAG) pipelines, and NLP solutions integrated into enterprise systems, leveraging LangChain and GPT-based applications, distributed architectures, and cloud deployments on AWS and Azure. I excel at integrating AI capabilities into full-stack systems to enhance automation, intelligent search, and real-time decision-making, while delivering secure, scalable enterprise-grade platforms. I enjoy collaborating in Agile teams to drive impactful outcomes for enterprise customers.

Available to hire

I am Sujith Ari, an AI Full Stack Engineer with 4+ years of experience building scalable cloud-native applications and LLM-powered platforms using Java, Python, React, and Spring Boot. I design AI-driven microservices, Retrieval-Augmented Generation (RAG) pipelines, and NLP solutions integrated into enterprise systems, leveraging LangChain and GPT-based applications, distributed architectures, and cloud deployments on AWS and Azure.

I excel at integrating AI capabilities into full-stack systems to enhance automation, intelligent search, and real-time decision-making, while delivering secure, scalable enterprise-grade platforms. I enjoy collaborating in Agile teams to drive impactful outcomes for enterprise customers.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full Stack Developer at PNC Financial Services

January 1, 2025 - Present

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

Full Stack Developer at Hexaware Technologies

April 1, 2021 - November 1, 2023

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, enabling real-time data streaming and asynchronous communication between distributed services. Designed and optimized backend data layers using PostgreSQL, implementing stored procedures, indexing, and performance tuning to enhance query efficiency and data integrity. Implemented machine learning workflows using Python and XGBoost, building predictive models for analytics-driven features and automation use cases. Provisioned and managed cloud infrastructure on AWS (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 software quality and release stability. Created data visualizations using Matplotlib to present analytical insights and i

Full Stack Developer at PNC Financial Services, USA

January 1, 2025 - Present

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

Full Stack Developer at Hexaware Technologies, India

April 1, 2021 - November 1, 2023

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.