class Omprakash:
role = "AI Systems Builder"
interests = [
"LLMs",
"Agentic AI",
"GraphRAG",
"AI Infrastructure",
"MCP",
"LLMOps"
]
currently_exploring = [
"Production AI Architectures",
"Scalable AI Systems",
"Modern Retrieval Systems"
]| Category | Technologies |
|---|---|
| 💻 Languages | |
| 🤖 AI / ML |         |
| 🧠 LLM Ecosystem |     |
| ⚙️ Backend / APIs | |
| 🗄️ Databases / Storage | |
| ☁️ Deployment / DevOps |  |
| 🖥️ Frameworks & Tools |  |
Benchmarking system comparing:
✅ LLM-only
✅ Basic RAG
✅ GraphRAG
Features:
- TigerGraph BFS traversal
- LLM Judge evaluation
- BERTScore metrics
- Latency + cost analysis
- Streamlit comparison dashboard
🔗 Repository:
https://github.com/omprakash0702/RAG-Benchmark-Lab
Production-style multi-agent AI workflow with:
- Planner agent
- Supervisor routing
- Reflection loops
- Research agents
- Hybrid retrieval
- Self-correction
🔗 Repository:
https://github.com/omprakash0702/LangGraph-AgenticAI-RAG
Offline LLM benchmarking & observability platform.
Features:
- p50 / p95 latency
- Throughput metrics
- Prometheus integration
- Docker deployment
- CPU-based local benchmarking
🔗 Repository:
https://github.com/omprakash0702/inferbench-ai
Child-friendly AI tutor built completely around MCP.
Features:
- Pure MCP architecture
- Protocol-first design
- Voice support
- Document understanding
- AI-powered quizzes
🔗 Repository:
https://github.com/omprakash0702/prof-proton
AI-powered CRM workflow assistant.
Features:
- Natural language interaction logging
- Structured extraction
- AI recommendations
- PostgreSQL + Redis
- LangChain tools
🔗 Repository:
https://github.com/omprakash0702/AI-CRM-Assistant
AI-powered tutor interview & evaluation platform.
Features:
- Adaptive questioning
- Voice + text support
- Detailed candidate reports
- Real-time streaming
🔗 Repository:
https://github.com/omprakash0702/TutorScreen-AI
🔹 Build production-grade AI systems
🔹 Contribute to AI open source
🔹 Explore AI research opportunities
🔹 Deep dive into LLM infrastructure
