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.

Experience

PNCAI Full Stack Engineer

2025 — Now

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

Hexaware TechnologiesFull Stack Developer – Microservices & Cloud

2022 — 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

University of North Carolina at Charlotte

Master's degree

GITAM Deemed University

Experience

Education

Master's degree

Bachelor of Technology - BTech