Software engineer focused on backend systems, cloud infrastructure and agentic AI.
Currently at HST Global — automating GCP IAM with Terraform, designing Pub/Sub event-driven pipelines and owning E2E test coverage with Cypress.
🏆 Google Cloud Agentic Premier League 2025 Finalist (Top 15)
☁️ Building AI Agents, Data Platforms and GenAI Applications
💻 Python | FastAPI | GCP | Vertex AI | LangChain | Data Engineering
📍 India
Built StadiumOPS — a real-time AI command platform for stadium crowd coordination and emergency response at IPL-scale venues.
FastAPI · Groq LLaMA 3 · React 18 TypeScript · Deterministic fallback engine for operational resilience.
| Project | What it does | Stack |
|---|---|---|
| StadiumOPS | Real-time AI ops platform — Top 15, Google Agentic Premier League | FastAPI · LLaMA 3 · React TS |
| udayam_fastapi | Backend REST API service | Python · FastAPI |
| mcp | MCP server — Dev.to publishing as an AI-callable tool | Python · MCP Protocol |
| rag | Document ingestion + RAG Q&A pipeline | Python · LangChain |
| Dynamic-Pricing-System-for-E-commerce | ML pricing engine with PSO optimisation | Python · Neural Networks |
Backend & Cloud: Python · FastAPI · GCP (Pub/Sub · Cloud Functions · IAM) · Terraform · Docker
Data: Pandas · PySpark · SQL · BigQuery
AI/ML: Groq · LLaMA 3 · LangChain · TensorFlow · PyTorch
Frontend: TypeScript · React 18 · Next.js
Testing: Cypress
- 🔭 Building: GCP data pipelines — extending Pub/Sub + Cloud Functions knowledge toward stream processing
- 📚 Learning: Apache Kafka · Airflow · BigQuery
- 🎯 Targeting: Backend Engineering · Data Engineering roles
- 📍 Bengaluru, India


