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AI / Data Science undergrad. I build multi-agent systems, RAG pipelines, and LLM backends — the orchestration layer, not just the API call. Most of my work is in LangGraph, FastAPI, and ChromaDB. |
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mindmap
root((Siddhanth<br/>Raikar))
Agent Systems
LangGraph state machines
Multi-agent graphs
Tool-use routing
RAG
ChromaDB / vector stores
Chunking and embedding
Retrieval + reranking
Backend
FastAPI
Express / Node.js
PostgreSQL · MongoDB · Redis
ML & AI
Gemini API · Groq
Classification
Evaluation and testing
| Languages | Frontend | Backend | Data & DB | AI / LLM | Tools |
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Python C++ JavaScript |
React Next.js HTML · CSS |
FastAPI Node.js Express |
PostgreSQL MongoDB Redis |
   
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Git GitHub Figma |
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MULTI-AGENT LEAD MANAGEMENT
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FULL-STACK JEWELRY POS
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MULTI-TENANT RAG SAAS
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5-NODE AGENT HARNESS
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flowchart LR
A["Input<br/>User Query"] --> B["Router<br/>Intent Classification"]
B --> C["Agent Pool<br/>Specialized Agents"]
C --> D{"Needs<br/>Context?"}
D -->|Yes| E["RAG Pipeline<br/>Retrieve → Rank → Augment"]
D -->|No| F["Direct<br/>Response"]
E --> G["Tool Use<br/>APIs · DB · Functions"]
F --> G
G --> H{"Confidence<br/>Check"}
H -->|Low| I["Human-in-Loop<br/>Escalate & Confirm"]
H -->|High| J["Output<br/>Validated Response"]
I --> J
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style F fill:#09090b,stroke:#C0C0C0
style G fill:#09090b,stroke:#C0C0C0
style H fill:#09090b,stroke:#4a86e8
style I fill:#09090b,stroke:#8B0000
style J fill:#09090b,stroke:#C0C0C0
