I'm Mahitha Kampasati, a dedicated Full Stack Developer based in Dallas, TX. I have 6 years of experience building scalable web applications and AI-driven systems using Java (Spring Boot), Node.js, Python (FastAPI), React, and Next.js. I design robust microservices, REST and GraphQL APIs, and optimize database performance across PostgreSQL, MongoDB, and Redis. I also deliver cloud-native solutions on AWS with Docker, Kubernetes, and CI/CD automation. I enjoy integrating LLM APIs, RAG pipelines, and vector databases to build production-ready AI platforms and real-time data processing systems using Kafka, Spark, and Airflow. I thrive on improving system performance, scalability, and deployment efficiency in enterprise applications, and I collaborate closely with cross-functional teams to deliver tangible value.

MAHITHA KAMPASATI

I'm Mahitha Kampasati, a dedicated Full Stack Developer based in Dallas, TX. I have 6 years of experience building scalable web applications and AI-driven systems using Java (Spring Boot), Node.js, Python (FastAPI), React, and Next.js. I design robust microservices, REST and GraphQL APIs, and optimize database performance across PostgreSQL, MongoDB, and Redis. I also deliver cloud-native solutions on AWS with Docker, Kubernetes, and CI/CD automation. I enjoy integrating LLM APIs, RAG pipelines, and vector databases to build production-ready AI platforms and real-time data processing systems using Kafka, Spark, and Airflow. I thrive on improving system performance, scalability, and deployment efficiency in enterprise applications, and I collaborate closely with cross-functional teams to deliver tangible value.

Available to hire

I’m Mahitha Kampasati, a dedicated Full Stack Developer based in Dallas, TX. I have 6 years of experience building scalable web applications and AI-driven systems using Java (Spring Boot), Node.js, Python (FastAPI), React, and Next.js. I design robust microservices, REST and GraphQL APIs, and optimize database performance across PostgreSQL, MongoDB, and Redis. I also deliver cloud-native solutions on AWS with Docker, Kubernetes, and CI/CD automation.

I enjoy integrating LLM APIs, RAG pipelines, and vector databases to build production-ready AI platforms and real-time data processing systems using Kafka, Spark, and Airflow. I thrive on improving system performance, scalability, and deployment efficiency in enterprise applications, and I collaborate closely with cross-functional teams to deliver tangible value.

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Experience Level

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Intermediate
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Work Experience

Full Stack Developer at Honeywell
February 1, 2026 - Present
Built the Agentic AI Workflow Automation Platform by designing intelligent agents using LLM APIs and RAG pipelines to automate decision-making and streamline enterprise operations. Developed backend services using Python (FastAPI) to orchestrate agent workflows, integrate external APIs, and handle real-time data processing across distributed systems. Implemented vector search capabilities using Pinecone and FAISS to enable contextual retrieval and improve response accuracy by 35%. Designed scalable frontend interfaces using Next.js and TypeScript to visualize agent outputs and provide interactive user controls for workflow customization. Deployed containerized applications using Docker and Kubernetes to ensure high availability and support seamless scaling across cloud environments. Configured CI/CD pipelines using GitHub Actions and Terraform to automate infrastructure provisioning and accelerate deployment cycles by 20%.
Full Stack Developer at LexisNexis
February 1, 2019 - December 31, 2023
Spearheaded the development of the Legal Document Intelligence Platform by building scalable web applications using React.js and Java (Spring Boot) to streamline document search and analytics workflows. Designed and developed RESTful APIs using Spring Boot, enabling high-volume data processing and seamless integration with internal legal systems. Built robust backend services using Spring MVC, Spring Data JPA, and Hibernate, ensuring clean architecture and maintainable code. Crafted dynamic and responsive user interfaces using React.js and Redux Toolkit, improving application performance and user experience by 30%. Optimized database performance by designing efficient schemas and writing complex SQL queries in PostgreSQL, reducing query execution time by 25%. Architected microservices-based backend systems using Spring Boot and Docker, improving scalability and enabling independent deployments. Integrated GraphQL with Spring Boot to support flexible data querying and reduce over-fetchi

Education

Master in Information Technology Management at Webster University
January 1, 2024 - December 1, 2025

Qualifications

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Industry Experience

Software & Internet, Professional Services, Manufacturing