Lasya.M

Hello,

I'm Lasya Moravineni

Software Engineer

Debugging my way through

About Me

Lasya Moravineni

Hey there! I'm a CSE(AI & ML) graduate from CMRIT, Hyderabad. I enjoy building software that sits at the intersection of backend engineering, cloud, AI, and full-stack development.

I've worked on Java and Spring Boot backend systems, full-stack applications, cloud deployments, distributed systems, and AI-powered applications involving LLM integrations, Agentic AI, and Retrieval-Augmented Generation (RAG). I'm particularly interested in understanding how systems work end-to-end — from writing the code and designing APIs to deploying and running them in the cloud.

Outside the tech bubble, I'm most likely dancing, sketching, journaling, or doing something artsy :)

Download Resume

Experience

Software Engineer Trainee

Cisco Systems, Inc.

August 2025 – August 2026

  • Designed and built backend microservices for enterprise-scale applications using Java, Spring Boot, SQL, and REST APIs, taking broadly-defined requirements through design, coding, testing, and debugging.
  • Designed and implemented 10+ RESTful API endpoints supporting distributed service communication across production systems.
  • Built event-driven, asynchronous workflows using AWS Lambda and SNS to automate backend processing at scale, improving system reliability and reducing manual overhead.
  • Built an internal Release Builder tool that programmatically transformed unstructured documents and CSV inputs into structured JSON, cutting documentation effort by approximately 70%.
  • Collaborated with cross-functional teams in an Agile environment, contributing to technical documentation and knowledge sharing to support ongoing development.

Skills

A snapshot of the technologies and engineering areas I work with. Click a category to explore.

Backend

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Backend

Building APIs, services and backend applications.

  • Java
  • Spring Boot
  • Python
  • FastAPI
  • REST APIs

Frontend

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Frontend

Creating responsive interfaces and full-stack web experiences.

  • Angular
  • React
  • Next.js
  • TypeScript
  • JavaScript
  • HTML/CSS

Databases

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Databases

Designing and working with relational data and persistence layers.

  • MySQL
  • SQLite
  • SQL
  • Database Design
  • Data Persistence

Distributed Systems

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Distributed Systems

Working with real-time data pipelines and event-driven systems.

  • Apache Kafka
  • Kafka Streams
  • WebSockets
  • STOMP
  • Event-Driven Architecture

AI & GenAI

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AI & GenAI

Building AI-powered applications with retrieval, agents and LLM integrations.

  • Generative AI
  • RAG
  • Agentic AI
  • LangGraph
  • MCP & LLM Integration
  • Google Gemini
  • Ollama

Cloud & DevOps

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Cloud & DevOps

Deploying, automating and operating applications in cloud environments.

  • AWS
  • Docker
  • Jenkins / CI/CD
  • Nginx
  • AWS EC2
  • AWS Lambda
  • SNS

Tools & Workflow

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Tools & Workflow

Tools and practices used across development and collaboration.

  • Git & GitHub
  • VS Code
  • Postman
  • Jira
  • Figma
  • Agile / Scrum

Certifications

Cisco Certified AI Technical Practitioner

Cisco, 2026

View Credential ↗

AWS Certified AI Practitioner

Amazon Web Services (AWS), 2026

View Credential ↗

AWS Certified Cloud Practitioner

Amazon Web Services (AWS), 2026

View Credential ↗

Cisco Certified Network Associate Automation

Cisco, 2026

View Credential ↗

Microsoft Azure AI Fundamentals

Microsoft, 2026

View Credential ↗

Projects

DocuMind AI – AI Document Intelligence Platform

Designed and deployed a full-stack AI document intelligence platform that enables intelligent document ingestion, metadata extraction, hybrid semantic retrieval, and grounded question answering. Supports both local (Ollama) and cloud (Google Gemini) AI providers with secure JWT authentication, duplicate detection, and live deployment on Render and Vercel.

FastAPI Next.js Google Gemini Ollama RAG Render Vercel

Real-Time Log Monitoring System

Built a real-time log monitoring dashboard using Apache Kafka, Spring Boot, and Angular. Implements data filtering based on client and service IDs, ensuring only relevant logs are streamed to users via WebSocket. Includes Kafka Streams for processing and real-time metrics visualization.

Apache Kafka Kafka Streams Spring Boot Angular WebSocket (STOMP)

NMS Cinemas — Movie Booking Platform

Full-stack movie booking platform with dedicated User and Admin workflows, supporting movie, theatre and show management, seat selection, booking, cancellation and booking history. Containerized with Docker and deployed on AWS EC2 through a Jenkins CI/CD pipeline, with Nginx serving the Angular frontend and reverse-proxying backend APIs.

Angular Spring Boot MySQL Docker Jenkins AWS EC2 Nginx

MCP-based Calendar Tool with Claude

Built a calendar tool integrated with Claude Desktop using MCP (Model Context Protocol), enabling structured tool invocation to add calendar events via natural language prompts, eliminating manual steps.

MCP Python LLM Integration Claude

Cloud & Automation Tasks

Built AWS Lambda functions integrated with SNS to automate team email notifications. Implemented automated MySQL database backups before schema changes.

AWS Lambda SNS MySQL Jenkins CI/CD

Release Builder UI

Developed a web-based utility to convert release notes (text/CSV formats) into structured JSON. Reduced manual documentation effort and standardized release artifacts.

JavaScript HTML JSON Data Transformation

Wellio

A modern wellness analytics platform with health assessment, BMI computation, risk scoring, interactive dashboards, nutrition visualization, and progress tracking — powered by structured client-side data persistence.

HTML5 CSS3 JavaScript Chart.js Highcharts

CakeCalls- UI/UX case study

This UI/UX project involves designing a user-friendly cake delivery app with a focus on intuitive UI and seamless user experience. Key features include customizable cakes, real-time delivery tracking, and pet-friendly options. Built using Figma. For a detailed process breakdown, check out the case study.

MindMate - AI chatbot

Intent-based AI chatbot providing conversational mental health support using a custom NLP dataset.

Python Gradio NLP Generative AI

Real-time Chat App

Multi-user real-time chat application supporting live messaging and user join/leave tracking.

Node.js WebSocket JavaScript

Contact Me

: lasyamacs08@gmail.com

: LinkedIn

: Github

: Hyderabad

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