Software Engineer at Airbus | GenAI & Agentic Systems | Full-Stack AI Platform Builder

🔭 Currently working on: Production-grade GenAI platforms at Airbus — Augmented BMS (multi-agent chatbot, 80K users), AI Portfolio (centralized AI project tracking), and AgentAIR (reusable agentic platform capabilities)

🌱 Currently learning: Agentic design patterns, LangGraph, and enterprise-scale LLMOps

💼 Experience: 4+ years building AI-powered platforms and enterprise frontends at Airbus

🏆 Achievements:

• Google Cloud Certified Professional Machine Learning Engineer
• SPOT Award (Nov 2025) — Augmented BMS, GenAI chatbot serving 80K+ Airbus users
• SPOT Award (Mar 2025) — ModelOps Platform, the official Airbus AI Platform
• Co-developed Vue 3 Design System — 50+ components adopted across Airbus teams
• Google Cloud Advanced Generative AI certified (Vertex AI)

🛠️ Tech Stack:

• GenAI & Agents: Google ADK, LangChain, LangGraph, Multi-Agent Systems, ReAct Patterns, RAG, Semantic Search, pgvector, MCP, Prompt Engineering, LLMOps
• Backend: Python, FastAPI, SQL
• Frontend: React.js, Vue.js, TypeScript, Vite, Zustand, Pinia, Tailwind CSS
• Cloud — GCP: Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, Cloud SQL, Terraform
• Cloud — AWS: Lambda, S3, DynamoDB, SageMaker, CDK, CloudFormation
• Tools: Git, Docker, Jenkins, JIRA, Cypress, Jest, Vitest, Figma

👯 Looking to collaborate on: Agentic AI systems, open source GenAI tooling, and AI platform infrastructure

💬 Ask me about: Multi-agent orchestration, RAG pipelines, building GenAI products at scale, or enterprise frontend architecture

📫 How to reach me:

• Email: sritejavalaboju000@gmail.com
• LinkedIn: linkedin.com/in/sriteja-valaboju
• Location: Bengaluru, Karnataka, India

⚡ Fun fact: I reduced a multi-agent search pipeline from 2 minutes to 30 seconds — then built a fast mode that does it in 5!

🎓 Education: B.Tech in Computer Science Engineering | Chaitanya Institute of Technology and Science (CGPA: 8.07)