SM
SM.tech
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Based in Nepal · Operating Worldwide

Shubham Mishra Full-Stack AI Engineer

Engineering high-throughput AI agents, custom LLM pipelines, and scalable cloud infrastructure. I convert ambiguous AI research into fault-tolerant, high-performance production applications that drive measurable ROI for global enterprise teams.

<100ms
Pipeline Latency
10M+
Docs Vectorized
99.9%
Uptime Standard
engine_status.py
ONLINE

# System Diagnostics & Architecture Stack

sm@production:~$ status --verbose

[System Orchestration] Kubernetes / Ray Cluster
[Inference Runtime] vLLM / TensorRT-LLM
[Agent Framework] LangGraph Custom Graph
[Vector Indexing] Qdrant / Distributed HNSW
[Primary Stack] Python / Rust / TypeScript

# SLA & Reliability Metrics

> Zero data leak guarantees enforced via local tokenization.

> Automated multi-fallback LLM routing online.

sm@production:~$ _

Interactive System Query

Hit Me With A Query

Test system execution specs or query my architecture philosophy. Select a prompt below to trigger instant response streaming.

// System ready. Click any query above to run diagnostic stream...
Execution latency: 0.00ms Status: 200 OK
Featured Production Engineering

High-Impact AI Systems

Production systems built to solve high-stakes infrastructure, latency, and scale bottlenecks.

Autonomous Logistics

OmniGraph AI

Multi-Agent Logistics Engine engineered for automated supply route optimization and dynamic bottleneck rerouting.

Impact: Reduced route allocation latency by 74% across 12,000 daily enterprise supply chains with zero human intervention.
Python LangGraph FastAPI Redis Kubernetes
Real-Time Audio & Vision

NeuraStream Middleware

Sub-100ms real-time voice and multimodal LLM processing layer built in Rust for low-latency client applications.

Impact: Enterprise WebSocket gateway supporting 50k concurrent audio streams with dynamic fallback routing & zero packet drop.
Rust C++ WebRTC TensorRT-LLM AWS EKS
Finance & Security RAG

DataShield Enterprise

On-Premises Privacy & RAG Pipeline for financial institutions needing strict data privacy compliance.

Impact: Zero-data-leakage semantic search operating over 10M+ confidential financial PDFs with deterministic citations.
TypeScript Next.js Qdrant Vector DB LlamaIndex Ollama
Production Architecture

Core Engineering Stack

AI & LLM Orchestration
  • PyTorch / vLLM Core
  • LangGraph / Agentic Expert
  • LlamaIndex / RAG Expert
  • TensorRT-LLM Optimization
Vector DB & Storage
  • Qdrant / Pinecone Primary
  • PostgreSQL / pgvector Relational
  • Redis / Dragonfly Caching
  • ClickHouse Analytics
Backend & Runtime
  • Python (Asyncio) Primary
  • Rust / Actix High-Perf
  • TypeScript / Node Fullstack
  • FastAPI / WebSockets APIs
Cloud & DevOps
  • Kubernetes / Helm Deploy
  • Docker / OCI Container
  • AWS / GCP / Modal Cloud
  • Cloudflare Pages/Workers Edge
Currently Accepting Projects

Need Production AI Infrastructure?

Whether you are building custom multi-agent pipelines, optimizing LLM latency, or architecting secure RAG backends, let's discuss your scope.

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