CS Student · AI/LLM Developer · Security Enthusiast
Knox College · Galesburg, IL
$ whoamiI build AI systems and security tooling while finishing my CS degree. The focus is production — things that actually run, fail, and get fixed. Right now that means RAG pipelines, LLM orchestration, and SOC automation. Four languages (English · Russian · Kyrgyz · Chinese), in search of immortality.
$ cat stack.md$ ls ./featuredProduction RAG pipeline on Railway. ChromaDB + LangChain + Claude API with reCAPTCHA v3/v2, a custom sliding-window rate limiter (the SlowAPI integration was silently doing nothing), prompt-injection sanitization, and a 50k daily token budget. Cut Docker image from 5.8 GB to under 4 GB. Fixed 15s response times traced to an unpinned dependency reloading the embedding model on every request.
LangChain · ChromaDB · FastAPI · Claude API · Railway
Three chained Claude API calls with structured JSON validation and automatic fallback handling. JD input to tailored .docx and Google Drive upload in under 60 seconds. Zero manual steps per application.
Flask · n8n · Claude API · Google OAuth2 · python-docx
Log ingestion, normalization, and anomaly-detection pipeline over Splunk and ELK. n8n SOAR workflows with severity routing cut manual alert-handling by 70% across 1,000+ log entries per run.
Splunk · ELK Stack · n8n · Flask · Python
$ ./contact.shOpen to AI intern / SWE / SRE / DevOps roles · summer 2026 and beyond.
📫 azatshakirov789@gmail.com 🌐 portfolio-three-rho-w5f73tqssv.vercel.app 💼 linkedin.com/in/azatshakirov
