architect.py
LLM Architect Agentic AI RAG Systems Voice AI MLOps
thinking in embeddings · dreaming in tokens
scroll

Who I Am

Principal AI Architect with 8+ years building enterprise-scale intelligent systems — from neural networks to multi-agent platforms that actually ship to production.

me.py
class AIArchitect:
def __init__(self):
self.name = "raj.raavi()"
self.role = "Principal AI Architect"
self.location = "Atlanta, GA 🌆"
self.experience = 8 # years of production AI
self.domains = [
"LLMs & GenAI", "Agentic AI",
"RAG Systems", "Voice AI",
"Computer Vision","MLOps"
]
self.superpower = "system design"
self.clouds = ["Azure","AWS","GCP"]
 
def fun_fact(self):
return (
"I think in embeddings"
" and dream in tokens 🧠"
)
8+
YEARS IN AI/ML
50+
TECH MASTERED
4
CLOUD PLATFORMS
4
CERTIFICATIONS
philosophy.py
# My approach to AI architecture
def build_ai_system(problem):
assert problem.is_well_defined()
assert data.quality > 0.9
return {
"reliable": True,
"responsible": True,
"production_ready": True
}

Skill Constellation

An interactive map of my technical universe — drag to explore, hover to inspect.

// drag to pan · hover nodes for details · categories color-coded

What I Build

Turning research into production systems that scale, perform, and stay reliable under real-world conditions.

🤖
LLMs & GenAI
Architecting LLM-powered platforms with prompt engineering, fine-tuning (LoRA/QLoRA, RLHF), function calling, and production-grade reasoning pipelines.
GPT-4o Claude Gemini LLaMA LoRA/QLoRA RLHF
🔍
RAG & Vector Systems
Enterprise RAG strategies using vector databases, embedding pipelines, hybrid retrieval, semantic search, and evaluation frameworks for grounded AI.
LangChain LlamaIndex Pinecone pgvector FAISS Qdrant
🕸️
Agentic AI Systems
Multi-agent orchestration, autonomous tool use, state management, memory systems, and complex workflow automation at enterprise scale.
LangGraph CrewAI Semantic Kernel AutoGen FastAPI Redis
🚀
MLOps & Deployment
End-to-end ML lifecycle management — from CI/CD pipelines and model versioning to containerized deployment, observability, and drift detection in production.
MLflow Kubeflow Docker Kubernetes Seldon Grafana
😙️
Voice AI & Multimodal
ASR, TTS, Voice Activity Detection, barge-in, emotion/intent detection — full-stack voice AI pipelines for hands-free conversational interaction.
Whisper Azure Speech ElevenLabs WebRTC Twilio VAD
👁️
Computer Vision & ML
CNN architectures, image segmentation, anatomical mapping, feature engineering, classical ML, and deep learning pipelines from research to clinical production.
PyTorch TensorFlow OpenCV YOLO XGBoost
full tech stack
Python
PyTorch
TensorFlow
Scikit-learn
LangChain
LlamaIndex
Azure OpenAI
GPT-4o
LangGraph
CrewAI
Semantic Kernel
OpenCV
Python
PyTorch
TensorFlow
Scikit-learn
LangChain
LlamaIndex
Azure OpenAI
GPT-4o
LangGraph
CrewAI
Semantic Kernel
OpenCV
MLflow
Kubeflow
Docker
Kubernetes
Azure ML
AWS SageMaker
GCP Vertex AI
Databricks
Snowflake
FastAPI
Kafka
Airflow
MLflow
Kubeflow
Docker
Kubernetes
Azure ML
AWS SageMaker
GCP Vertex AI
Databricks
Snowflake
FastAPI
Kafka
Airflow
pgvector
FAISS
Pinecone
Qdrant
Redis
PostgreSQL
MongoDB
Spark
PySpark
Prometheus
Grafana
OpenTelemetry
pgvector
FAISS
Pinecone
Qdrant
Redis
PostgreSQL
MongoDB
Spark
PySpark
Prometheus
Grafana
OpenTelemetry

Skill Radar

LLMs & GenAI96%
Agentic AI & RAG94%
MLOps & DevOps92%
Cloud Architecture90%
Deep Learning90%
Data Engineering87%
Voice AI & Multimodal85%
Computer Vision84%

Credentials

Validated expertise across cloud AI platforms and deep learning.

☁️
Microsoft Azure
Azure AI Engineer Associate
📊
Microsoft Azure
Azure Data Scientist Associate
⚡
NVIDIA DLI
Deep Learning Institute
🤖
Amazon Web Services
AWS ML — Specialty

Let's Build Together

Got a complex AI problem? I'm fluent in embeddings,
obsessed with production systems, and always up for a challenge.