Shifat Santo
Systems AI Engineer · Founder @ Rhemic AI
Building autonomous AI systems, LLM infrastructure, and applied AI products that operate at production scale. From low-level systems in C++ and Rust to full-stack AI applications.
Selected Work
Systems and products built from scratch, shipping in production.
Rhemic AI
Voice agent infrastructure and developer tools. Leading architecture, backend systems, and ML pipeline design as CTO.
VectorVault
HNSW vector search engine built from scratch in C++20. Custom memory allocator, SIMD-optimized distance calculations, lock-free concurrent access.
mcp-audit
Security auditing tool for Model Context Protocol servers. Static analysis of tool definitions and permission validation.
Soniq
Real-time voice agent platform with sub-200ms latency. Streaming STT, LLM reasoning, and TTS pipeline.
Bangla LLM
Training a large language model for Bangla. Custom tokenizer, web corpus pipeline, distributed training on cloud GPUs.
Thoughts & Technical Writing
On building AI systems, engineering culture, and lessons from the trenches.
I Scanned 20 MCP Server Configs for Security Vulnerabilities. 95% Failed.
I built a security scanner that maps findings to the OWASP MCP Top 10. Here's what it found.
I Built a Git-Push-to-Everywhere Content Pipeline
A single git push cross-posts to Dev.to and Hashnode, generates social content for X, LinkedIn, and Reddit.
Hello World: Why I'm Starting a Blog in 2026
After years of building in silence, I'm finally writing about what I build and what I learn.
By the Numbers
Shipped systems, production deployments, and measurable impact.
Background
I'm a systems AI engineer and the founder of Rhemic AI. I study Computer Science at UT Dallas and spend most of my time building AI infrastructure and products from the ground up.
My work spans the full stack of AI systems — from custom vector databases in C++ and voice processing pipelines in Rust to production LLM applications and autonomous agent frameworks. I care about understanding every layer of the stack, not just using abstractions.
I believe the best AI products come from engineers who understand both the systems underneath and the humans on top. That's what I build toward.
Technical Stack
Get in Touch
Open to conversations about AI systems, infrastructure, and building things that matter.