# Sujith Ari

> AI Full Stack Engineer | LLMs, RAG, LangChain | Java, Python, React | Spring Boot | AWS & Azure | Cloud-Native Microservices

Location: Charlotte Metro, United States
Profile: https://flows.cv/sujithari

AI Full Stack Engineer with 4+ years of experience designing and building scalable cloud-native applications and AI-powered platforms.

I specialize in integrating Large Language Models (LLMs) into enterprise systems to enable intelligent automation, semantic search, and real-time decision-making.

My core expertise includes:

• Generative AI & LLM Integration (LangChain, RAG, GPT APIs, LLaMA)
• Backend Engineering (Spring Boot, Django, FastAPI, Microservices)
• Frontend Development (React, TypeScript)
• AI & NLP Pipelines (BERT, RoBERTa, Embeddings, Semantic Search)
• Cloud & DevOps (AWS, Azure, Docker, Kubernetes, CI/CD)

I have experience building AI microservices, Retrieval-Augmented Generation (RAG) pipelines, secure REST APIs, and event-driven systems in distributed enterprise environments.

Open to opportunities in:
AI Engineering | Full Stack Development | Backend Engineering | Cloud-Native Systems

## Work Experience
### AI Full Stack Engineer @ PNC
Jan 2025 – Present | United States
• Designed and developed scalable Spring Boot microservices supporting high-volume enterprise banking applications
• Built LLM-powered applications using LangChain and LLaMA, implementing Retrieval-Augmented Generation (RAG) pipelines for intelligent search and chatbot workflows
• Developed NLP services using BERT and RoBERTa for text classification, sentiment analysis, and entity recognition
• Built secure AI APIs using Django and FastAPI with OAuth2 and JWT authentication
• Integrated ML models (Scikit-learn, TensorFlow) into production systems to automate enterprise workflows
• Deployed containerized AI and full stack applications on Microsoft Azure using CI/CD pipelines
• Collaborated in Agile teams to design AI-enabled distributed systems and improve system scalability and performance

### Full Stack Developer – Microservices & Cloud @ Hexaware Technologies
Jan 2022 – Jan 2023 | India
• Developed enterprise web applications using Spring Boot, Spring MVC, and React
• Built RESTful APIs and microservices architecture for scalable distributed systems
• Implemented event-driven systems using Apache Kafka for real-time data streaming
• Designed and optimized PostgreSQL databases, improving query efficiency and performance
• Built predictive machine learning models using Python and XGBoost
• Deployed and managed applications on AWS (EC2, IAM, VPC)
• Improved software reliability by implementing automated unit testing with JUnit and Mockito


## Education
### Master's degree in Computer Science
University of North Carolina at Charlotte

### Bachelor of Technology - BTech in Computer Science
GITAM Deemed University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ari-sujith

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Source: https://flows.cv/sujithari
JSON Resume: https://flows.cv/sujithari/resume.json
Last updated: 2026-04-17