# Mahitha Kampasati

> 🌐 From UI to Intelligent Backends | Full Stack Engineer | React • Spring Boot • FastAPI • AWS

Location: Frisco, Texas, United States
Profile: https://flows.cv/mahitha

Hi, I’m Mahitha 👋
 
I’m a Full Stack Developer with 6+ years of experience building scalable, high-performance web applications and intelligent systems. I specialize in designing end-to-end solutions—from intuitive frontends to robust backend architectures—while integrating cutting-edge AI capabilities.
 
💡 What I do best:
 • Build AI-powered platforms using LLMs, RAG pipelines, and vector databases
 • Design scalable microservices and high-performance APIs (REST & GraphQL)
 • Develop modern, responsive UIs with React & Next.js
 • Architect cloud-native systems on AWS using Docker, Kubernetes & CI/CD
 
⚙️ I enjoy solving complex engineering problems and turning ideas into production-ready systems that are reliable, scalable, and impactful. From real-time data pipelines to intelligent workflow automation, I focus on delivering solutions that improve efficiency and user experience.
 
📊 Tech I work with:
 Java (Spring Boot) | Python (FastAPI) | Node.js | React | Next.js | PostgreSQL | MongoDB | AWS | Kafka | Spark
 
🌱 Currently exploring deeper into AI system design, agentic workflows, and building smarter developer platforms.
 
🤝 I’m always open to collaborating on innovative projects or discussing opportunities in Full Stack, AI, and Cloud Engineering.

## Work Experience
### Full Stack Engineer @ Honeywell
Jan 2026 – Present
At Honeywell, I’ve been working on building an Agentic AI Workflow Automation Platform designed to streamline complex enterprise decision-making. My focus has been on developing intelligent, production-ready systems that combine LLM APIs with RAG pipelines to automate workflows that previously required significant manual effort.

I designed and implemented backend services using Python (FastAPI) to orchestrate distributed agent workflows and handle real-time data processing. To improve the quality of AI responses, I introduced vector search using Pinecone and FAISS, which increased contextual accuracy by 35%. On the frontend, I built scalable and intuitive interfaces using Next.js and TypeScript, enabling users to visualize and customize workflows more effectively.

I also played a key role in deploying and scaling the platform using Docker and Kubernetes, ensuring high availability across environments. By setting up CI/CD pipelines with GitHub Actions and Terraform, I helped reduce deployment time by 20%, improving team velocity.

### Full Stack Developer @ LexisNexis
Jan 2019 – Jan 2023
At LexisNexis, I contributed to building a Legal Document Intelligence Platform that enhanced how legal professionals search, analyze, and interact with large volumes of data. My work focused on developing scalable backend systems and responsive user interfaces that significantly improved performance and usability.

I built robust backend services using Java (Spring Boot), handling high-volume data processing and enabling seamless integration with internal systems. I designed and implemented RESTful APIs and introduced GraphQL, which reduced over-fetching and improved frontend efficiency. On the frontend, I developed dynamic interfaces using React.js and Redux Toolkit, leading to a 30% improvement in user engagement.

I also optimized database performance by refining schemas and writing efficient queries in PostgreSQL, reducing execution times by 25%. Additionally, I helped transition the system to a microservices architecture using Docker, improving scalability and deployment flexibility.

I ensured high code quality through JUnit and Mockito testing and supported faster releases by implementing CI/CD pipelines with GitHub Actions.


## Education
### Master's degree in ITM
Webster University

### Bachelor of Technology - BTech in Electrical and Electronics Engineering
Mahatma Gandhi University, Nalgonda


## Contact & Social
- LinkedIn: https://linkedin.com/in/mahik7

---
Source: https://flows.cv/mahitha
JSON Resume: https://flows.cv/mahitha/resume.json
Last updated: 2026-04-16