Building AI-powered applications from prototype to production.
Specializing in voice agents, multi-agent systems, and real-time RAG pipelines.
class SelvakumarPerumal:
"""I don't just build AI. I ship it."""
def __init__(self):
self.role = "ML/AI Developer | AI Systems Architect"
@property
def current_obsessions(self) -> dict:
return {
"voice_agents": "Voice that thinks before it speaks",
"multi_agent": "Agents that actually cooperate",
"rag_systems": "No more hallucinations, only facts",
"mlops": "Ship it, scale it, sleep"
}
def hire_me(self) -> bool:
return True # Always returns True
def say_hi(self) -> str:
return "Wanna build something mass together?"ai_ml:
deep_learning: [PyTorch, HuggingFace, OpenCV, spaCy]
llm_frameworks: [LangChain, Haystack]
agent_orchestration: [LangGraph, Pydantic-AI, Pydantic-Graph]
classical_ml: [Scikit-learn, XGBoost]
backend:
framework: [FastAPI, Pydantic, SQLModel, SQLAlchemy]
databases: [PostgreSQL, MongoDB, Redis]
data_processing: [Pandas, Polars, NumPy]
infrastructure:
containers: [Docker, Kubernetes, Helm, Istio]
cloud: [AWS, Terraform]
monitoring: [Prometheus, Grafana, EFK Stack]
ci_cd: [GitHub Actions]
protocols: [REST, GraphQL, WebSocket, WebRTC, MQTT, LiveKit]
environment:
os: Linux
shell: [bash]Prototype start. Production end. Adhuku naduvula magic.