name: Sai Tarrun Pitta
role: Software Engineer & Cloud/ML/Security Architect
location: Building at the Edge of Cloud & AI
focus: Secure, Scalable, and Intelligent Systems
expertise:
- Cloud-Native Architecture (AWS, GCP, Kubernetes, Terraform)
- Machine Learning Pipelines (RAG, LLMs, Multi-Agent AI)
- Cybersecurity (Zero-Trust, Threat Modeling, Hardening)
- Full-Stack Engineering (React, Next.js, FastAPI, Go)
philosophy: "Production-grade code. Security by design. Observable by default."
status: Open to Collaboration & Architecture Discussions β
| π Project | π Description | π§ Stack |
|---|---|---|
| LLM Knowledge Platform β | Enterprise-grade RAG platform β multi-agent swarm, Neo4j knowledge graphs, vector search, real-time analytics | Next.js Β· FastAPI Β· Neo4j Β· FAISS Β· LangChain Β· Redis |
| Brain Tumor Detection | End-to-end ML pipeline for MRI classification via transfer learning (CNN). 95%+ accuracy on big data infrastructure | TensorFlow Β· Apache Spark Β· GCP Β· Python |
| Serverless Deploy Platform | Self-hosted Vercel-inspired platform with auto-scaling, ECR/ECS orchestration, and Kafka async pipelines | AWS ECS Β· Lambda Β· Kafka Β· Redis Β· React |
| Blockchain DeFi Suite | Audited Solidity smart contracts on Ethereum + MetaMask-integrated Web3 frontend with automated testing | Solidity Β· Hardhat Β· Truffle Β· Web3.js Β· React |
| β‘ | π Achievement |
|---|---|
| π΅ | Architected production ML pipelines serving 100K+ predictions daily |
| π’ | Designed cloud infrastructure supporting 10M+ monthly requests |
| π‘ | Led security hardening initiatives reducing vulnerabilities by 80% |
| π΄ | Contributed to open-source projects earning 1K+ stars |
| βͺ | AWS Certified Solutions Architect Β· Ongoing ML Specialization |
| π£ | Mentored junior engineers & led technical architecture reviews |
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π‘ Security-First Build threat-resistant from day one β
β β Automation Reduce toil with IaC & smart tooling β
β π‘ Observable Logs, metrics, traces in production β
β π§Ή Clean Architecture Maintainable, testable, documented β
β π€ Collaborative Code reviews, mentorship, sharing β
β π± Ethical AI Fairness, privacy, responsible data β
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- π€ Agentic AI β Multi-agent systems, LLM orchestration, autonomous reasoning
- π Cloud Security β Zero-trust, threat detection, infrastructure hardening
- βοΈ Distributed Systems β High-performance architectures and optimization
- π οΈ Developer Tools β CI/CD, DX improvements, platform engineering


