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Akashperla/README.md

Hi, I'm Akash Perla πŸ‘‹

Software Engineer | Full Stack Development | AI Applications | Backend Systems

I build production-style software systems using Java, Spring Boot, Python, FastAPI, React, LangChain, cloud-native tooling, and distributed architecture.

My work focuses on AI-powered applications, healthcare platforms, backend services, RAG systems, data pipelines, and interactive dashboards.





πŸš€ About Me

I am a Software Engineer with a strong foundation in full stack development, backend engineering, AI-enabled applications, and cloud-native systems.

I enjoy designing applications that are not just functional, but also scalable, maintainable, observable, and production-ready. My project experience includes healthcare platforms, claims processing workflows, secure data exchange systems, RAG-based AI assistants, high-performance processing engines, and real-time dashboards.

  • πŸ”­ Currently building: AI-powered full stack and backend systems
  • 🧠 Interested in: RAG, LLM applications, distributed systems, cloud architecture
  • βš™οΈ Strongest stack: Java, Spring Boot, Python, FastAPI, React, PostgreSQL, Docker
  • πŸ“ Location: Seattle, WA
  • 🎯 Goal: Build reliable software that creates real business and user impact

🧩 Featured Projects

πŸ₯ Healthcare Claims Processing Service

Java Spring Boot backend service for healthcare claims intake, validation, adjudication rules, metrics, and REST API workflows.

Tech: Java, Spring Boot, REST APIs, MySQL, Docker, Metrics

πŸ” Distributed Healthcare Data Exchange

Secure healthcare microservice for event ingestion, patient identifier tokenization, audit publishing, and distributed data workflows.

Tech: Java, Spring Boot, Kafka, PostgreSQL, Microservices

πŸ€– AI-Powered Enterprise Knowledge Assistant

Full stack RAG platform for enterprise knowledge search, document retrieval, contextual Q&A, and AI-assisted workflows.

Tech: FastAPI, LangChain, OpenAI, FAISS, React, PostgreSQL, Docker

⚑ High-Performance Data Processing Engine

System-level processing engine focused on memory-aware, compute-intensive, and benchmark-driven data workflows.

Tech: C++, Python, Benchmarking, Algorithms, Performance Optimization

πŸ“Š Interactive Data Visualization Dashboard

React and TypeScript dashboard for real-time data exploration, API-driven updates, charts, and modular UI components.

Tech: React, TypeScript, REST APIs, Charts, UI Components


πŸ› οΈ Tech Stack

Programming Languages

Languages: Java, Python, C++, JavaScript, TypeScript, SQL, Bash


Backend Development

Backend: Spring Boot, FastAPI, Node.js, Express.js, REST APIs, Microservices, Kafka, gRPC, API Design, Authentication


Frontend Development

Frontend: React.js, Angular, HTML5, CSS3, Tailwind CSS, Material UI, Responsive UI Development


Databases & Data Systems

Databases: PostgreSQL, MySQL, MongoDB, Redis, SQL Query Optimization, Data Modeling


AI & Machine Learning

AI Tools & Frameworks: RAG, LangChain, OpenAI APIs, FAISS, Pinecone, Prompt Engineering, AI Workflow Automation


Cloud, DevOps & Tools

Cloud & DevOps: AWS, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD Pipelines, Linux, Git, GitHub


Monitoring & Observability

Observability: Grafana, Splunk, ELK Stack, Application Logs, Metrics, Monitoring, Debugging


πŸŽ“ Education

University of North Carolina at Charlotte

Master of Science in Computer Science
Aug 2024 – Dec 2025

SRM University

Bachelor of Technology in Computer Science
Jun 2019 – May 2023


Popular repositories Loading

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  2. Analysis-on-Iris-dataset Analysis-on-Iris-dataset Public

    Performing Classification of Iris Dataset using Knn algorithm & Decision Tree and Comparing the accuracy

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  5. transfering-files-using-socket transfering-files-using-socket Public

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  6. Analysis-on-diabetes-dataset Analysis-on-diabetes-dataset Public

    This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes…

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