Senior AI Engineer | RAG & Multi-Agent Systems Expert
Building scalable AI systems with LLMs & RAG. Architecting the future of human-machine collaboration through precision engineering.
50M+
Documents Processed
1M+
Queries Handled
99.9%
System Uptime
Selected Engineering Projects
Flagship Work
RAG
LangChain
GPT-4
RAG Knowledge Base
- Reduced support ticket response times by 40%
- Improved factual accuracy by 65% through dense retrieval tuning
Python
Docker
AutoGPT
Autonomous Agent Framework
- Automated 80% of routine CI/CD monitoring tasks
- Enabled autonomous bug discovery across legacy repositories
Professional Journey
Experience
Lead AI Engineer
TechFlow
- Spearheaded internal AI platform architecture for enterprise-wide deployment
- Scaled RAG systems to process and index 50M+ document corpus with sub-second latency
- Led a team of 5 engineers in developing high-availability inference pipelines
Senior Developer
CloudScale
- Developed core backend for cloud-native applications using microservices architecture
- Transitioned to AI initiatives in 2021, focusing on NLP and production LLM implementations
- Optimized cloud resource allocation, reducing infrastructure costs by 22% annually
Technical Toolkit
Expertise
neurology
AI / ML
- LLMs (GPT-4, Claude)
- RAG Architectures
- LangChain & Indexing
- PyTorch & Training
database
Backend
- Python / Fast API
- Vector DBs (Pinecone)
- PostgreSQL / Redis
- Distributed Systems
terminal
Frontend
- React / Next.js
- Tailwind CSS
- Data Visualization
- UI Prototyping
settings_input_component
Tools
- Docker / Kubernetes
- CI/CD Pipelines
- Cloud AWS / GCP
- Git / DevOps
Engineering Philosophy
"I believe AI shouldn't just be intelligent; it should be deterministic and reliable. My work focuses on bridging the gap between probabilistic models and production-grade software."
The Digital Architect
Systems Specialist
class AIEngineer:
def __init__(self):
self.focus = ["RAG", "LLM", "Scale"]
self.quality = 0.999
def build(self, mission):
# Architecting the future
return self.architect(mission)
Let's Build Your AI System
Availability: Open for select projects | Response time: Replies within 24 hours
contact@digitalarchitect.ai
Remote / San Francisco