
aayush kumar
Jodhpur, India
aayush kumar
Applied AI Engineer (Systems & Orchestration)
Category : Artificial intelligence (AI)
I build autonomous multi-agent systems and high-concurrency backends for companies that need more than just a basic LLM integration. As a contributor to Mastra AI (YC-backed), I specialize in the "plumbing" of AI—ensuring your agents are fast, fault-tolerant, and deeply integrated with your production data.
What I Offer:
Agentic Orchestration: Implementation of Sequential, Parallel, and Hierarchical agent workflows. I build custom orchestration logic (no LangChain overhead) to ensure maximum control and system reliability.
Production RAG Pipelines: End-to-end RAG architecture involving smart chunking, vector database optimization (Chroma/PostgreSQL), and hybrid search for high-accuracy retrieval.
Hardened Backend Systems: Scalable Node.js and FastAPI services capable of handling real-time streaming (SSE/WebSockets), background workers, and complex distributed transactions.
AI Observability & Evals: Integration of structured logging (Pino/Datadog), tracing, and automated evaluation frameworks to detect LLM regressions before they hit production.
Technical Expertise:
LLM Tech: Multi-Agent Systems, Agent Memory, Tool Use, Embeddings, Vector DBs.
Core Backend: Node.js, Python, Redis (Caching/Queues), PostgreSQL, Docker.
Open Source: Active contributor to Mastra AI; specialized in fixing production-level tool-choice and logging infrastructure.
Why Hire Me?
I don't just connect APIs; I build systems. Whether it’s reducing ingestion latency to <10ms or implementing exponential backoff for 100% API reliability, I focus on the engineering metrics that matter to your business.
What I Offer:
Agentic Orchestration: Implementation of Sequential, Parallel, and Hierarchical agent workflows. I build custom orchestration logic (no LangChain overhead) to ensure maximum control and system reliability.
Production RAG Pipelines: End-to-end RAG architecture involving smart chunking, vector database optimization (Chroma/PostgreSQL), and hybrid search for high-accuracy retrieval.
Hardened Backend Systems: Scalable Node.js and FastAPI services capable of handling real-time streaming (SSE/WebSockets), background workers, and complex distributed transactions.
AI Observability & Evals: Integration of structured logging (Pino/Datadog), tracing, and automated evaluation frameworks to detect LLM regressions before they hit production.
Technical Expertise:
LLM Tech: Multi-Agent Systems, Agent Memory, Tool Use, Embeddings, Vector DBs.
Core Backend: Node.js, Python, Redis (Caching/Queues), PostgreSQL, Docker.
Open Source: Active contributor to Mastra AI; specialized in fixing production-level tool-choice and logging infrastructure.
Why Hire Me?
I don't just connect APIs; I build systems. Whether it’s reducing ingestion latency to <10ms or implementing exponential backoff for 100% API reliability, I focus on the engineering metrics that matter to your business.
Portfolio
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
- 🇮🇳 Hindi
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