Building production-grade LLM infrastructure & AI-native SaaS | Resume | LinkedIn
TunePrompt β LLM evaluation framework (800+ npm downloads, open-source)
- Automated prompt testing + cost analysis for Claude/GPT/Gemini
Genesis Forge β Multi-agent orchestration system (24 agents, 79 skills, 13 workflows)
- MCP-native, supports Claude CLI, Gemini CLI, Cline
OpenContext (PCSL) β Self-hosted context sovereignty layer
- JWT-authenticated FastAPI server enabling AI tools to fetch user context securely
AI & LLM Infrastructure
- RAG systems: semantic chunking, retrieval optimization (95% precision in production)
- Prompt caching & token optimization (25% savings on inference costs)
- Multi-agent orchestration (LangGraph, CrewAI patterns)
Backend (Java/Spring Boot)
- Microservices: SOA design, Spring Data JPA, async concurrency patterns
- High-load systems: 1000+ concurrent events, 30% latency reduction through optimization
- PostgreSQL schema design, indexing strategies
Frontend (React/Next.js 15)
- TypeScript-first, modern hooks, server components
- State management (Redux Toolkit, Zustand)
DevOps & Cloud
- Docker multi-stage builds, Google Cloud Run deployments
- AWS Lambda (serverless RAG pipelines)
- OpenClaw (#52513) β Fixed gateway auth false negatives (async SecretRef blocking)
- Modelcontextprotocol/servers (#3678) β Added configurable
--follow-symlinksflag - Microsoft PromptFlow (#4100) β Fixed JSONL UTF-8-BOM encoding in eval SDK
- MCP Specialist (Anthropic)
- AWS Solutions Architecture
- MCA (IGNOU, in progress) | BCA (MMHAPU)
- connect.lalukumar@gmail.com
- CodeForgeNet β GitHub org for production-grade open-source



