PS Prathyusha Sangani

Software Engineer · 3+ Years at AT&T

Building cloud-native apps, DevOps platforms & AI solutions.

Software Engineer with 3+ years at AT&T building cloud-native applications, DevOps platforms, and AI-powered solutions. Full-stack development, cloud infrastructure, automation, and expertise in Generative AI, LLMs, and scalable enterprise systems.

Get In Touch → See My Work

01 — About

Full-stack engineer
with an AI focus.

I'm a Sr Associate Software Engineer at AT&T, where I build LLM-powered automation agents, enterprise React and Node.js applications, and manage cloud infrastructure on Microsoft Azure. I enjoy the full lifecycle — from designing a workflow to shipping it reliably in production.

Recently I've been focused on Generative AI, agentic systems, RAG pipelines, and integrating LLMs into real enterprise tools that make teams faster.

Based in

Hyderabad, India

Focus

Cloud-native apps, DevOps, GenAI & LLMs

02 — Experience

Where I've shipped
real software.

Aug 2023 — Present Hyderabad, India

Sr Associate Software Engineer · AT&T

  • Built an LLM-powered operational automation agent integrated with custom tools and enterprise APIs to streamline complex support activities, automate repetitive tasks, and enhance productivity across cloud and application management workflows.
  • Developed and maintained enterprise-scale applications using React, Node.js, Python, and Flask.
  • Managed and automated Azure infrastructure including AKS upgrades, Azure Key Vault, Log Analytics Workspace (LAW), and virtual machine administration.
  • Deployed and monitored containerized workloads using Kubernetes, Docker, and Helm.
  • Built and maintained CI/CD pipelines using Jenkins, GitOps, and Terraform, reducing deployment effort and improving release reliability.
  • Collaborated with cross-functional teams to deliver secure, scalable, and highly available cloud-native solutions.
Feb 2023 — Aug 2023 Hyderabad, India

Technical Intern · AT&T

  • Developed and enhanced frontend applications using React, JavaScript, and modern UI development practices.
  • Built and maintained backend services using Spring Boot, Java, and REST APIs for internal applications.
  • Worked with PostgreSQL and MongoDB databases and DevOps activities.

03 — Technical Skills

A practical stack
across the whole stack.

Languages
PythonJavaJavaScriptTypeScriptSQL
Frontend
React.jsNext.jsHTMLCSSTailwindCSS
Backend
Node.jsExpress.jsFlaskSpring BootREST APIs
AI / GenAI
Generative AIAgentic AILLMsPrompt EngineeringMCPLangChainLangGraphRAG PipelinesOllama
Vector Databases
PineconeChromaDB
Cloud
Microsoft AzureAWS
Containers & DevOps
DockerKubernetesHelmTerraformJenkinsGitOpsCI/CDAzure DevOpsGit
Databases
PostgreSQLSQL ServerMongoDBFirebase Firestore

04 — Selected Projects

Things I've built.

AI Agent · Full-stack

AI Personal Reminder Agent

A full-stack AI reminder assistant supporting natural-language task creation, recurring reminders, voice interactions, and chatbot-driven task management. Integrated Google Authentication, push notifications, Firestore storage, admin controls, and LLM-powered intent parsing for intelligent task automation. Designed a responsive user experience enabling seamless reminder creation and real-time notification delivery across devices.

Tech Stack
ReactNode.jsExpress.jsFirebase AuthFirestoreFirebase FunctionsLLM APIs
View Live Demo →

AI / RAG Application

Local RAG Chat Application

A Retrieval-Augmented Generation application enabling users to upload PDFs, DOCX, TXT files, websites, and YouTube content for intelligent question answering. Implemented document extraction, chunking, semantic search, and context-aware response generation using a locally hosted Ollama model. Privacy-focused local AI eliminating dependency on external LLM providers while supporting efficient knowledge retrieval.

Tech Stack
PythonStreamlitOllamaPyPDFpython-docxYouTube Transcript APITF-IDFCosine Similarity
View on GitHub →

AI Assistant · Voice-enabled

AI Multilingual Kitchen Companion

An AI-powered multilingual cooking assistant enabling intelligent recipe generation, ingredient-based meal recommendations, AI-driven recipe customization, and real-time translation across multiple languages. Voice-enabled cooking guidance with hands-free navigation, interactive AI chatbot support, step-by-step assistance, and smart cooking timers. Personalized weekly diet planning, AI-generated nutrition charts, and YouTube recipe recommendations.

Tech Stack
Next.jsReactTypeScriptFirebase AuthFirestoreAbacus AI APIWeb Speech APIWeb Audio APITailwindCSS
View Live Demo →

E-commerce · Mobile

Bhadrakali Rice Mill Ordering App

A rice mill ordering platform with customer authentication, product catalog management, persistent cart, delivery PIN-code validation, order tracking, and admin management capabilities. Secure backend services with JWT authentication and managed application data using Neon PostgreSQL. Responsive mobile-friendly interface with integrated UPI payment workflows, currently enhancing with Cashfree Payment Gateway integration.

Tech Stack
ReactTypeScriptNode.jsExpress.jsNeon PostgreSQLREST APIsVercelCapacitor iOS

05 — Certifications

Microsoft certified
on Azure & DevOps.

DevOps

DevOps Engineer Expert

AZ-104

Azure Administrator Associate

AZ-204

Azure Developer Associate

AZ-900

Azure Fundamentals

06 — Let's Talk

Let's build
something useful.

Open to conversations on cloud-native engineering, AI agents, RAG applications, and full-stack product work.

Get In Touch →
✉ Email sanganiprathyusha5@gmail.com ↗ in LinkedIn sangani-prathyusha ↗ ◐ GitHub prathyushasangani ↗