Lead AI Engineer · Circuitry.ai

I build systems thatthink at scale.

4+ years building production LLM, RAG and agentic systems. I design multi-agent workflows that reason, call tools and decide autonomously — plus the reliability layer that makes it safe.

See what I’ve built Get in touch

Sathwik Prathi, photographed at a desk in a library cafe — Sathwik Prathi

liveagent-runtime

p50 latency115ms

tokens/sec46

active agents3

intake→validate→decide

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Agentic AIMulti-Agent OrchestrationA2AMCPAutonomous DecisioningRAG SystemsLLM ReasoningEnterprise ReliabilityFastAPIKubernetesLLM SystemsAgentic AIMulti-Agent OrchestrationA2AMCPAutonomous DecisioningRAG SystemsLLM ReasoningEnterprise ReliabilityFastAPIKubernetesLLM Systems

— / What it looks like

A conversation with the systems I build

agent-session · claims-platform

you

Why was claim #48213 auto-approved instead of escalated?

Scoring claim against coverage policy…

Calling MCP tool → get_claim_history(claim_id)

Checking anomaly-detection thresholds…

agent

Trace:coverage_check ✓anomaly_check ✓payment.release()

01 / Selected Work

Six problems worth telling you about

01 / Lead

Agent-to-Agent Decision Platform

Specialized agents for intake, document understanding, coverage validation and anomaly detection — coordinated through supervisor-pattern handoffs and MCP tool calling, replacing a monolithic flow.

Agentic AIA2AMCP

02 / Lead

Enterprise Reliability Layer

Durable checkpointing so workflows survive crashes and redeploys, idempotency on every side effect, compensating actions for partial failure — what makes it safe to let an agent move money.

Distributed SystemsKubernetesReliability

03 / Senior

Agentic Reasoning Framework

Planning, reflection, dynamic tool selection and adaptive execution over complex enterprise queries — decomposed into parallel RAG workflows with reranking. Positive ratings went 95% → 99%.

RAGReasoningAgentic AI

04 / Senior

Claim Validation System

Cross-verifies images, video, descriptions, causes and corrective actions against each other to surface inconsistencies — cutting fraudulent claims and making automated decisions trustworthy.

Computer VisionFraud DetectionAI

05 / SE

Dialogue Intelligence Layer

Replaced a legacy Rasa system with a proprietary FastAPI layer, plus vision-based chunking that recovered tables and diagrams OCR was dropping. Costs down 60–70%, coverage past 99%.

FastAPILLMComputer Vision

06 / Personal

Eye Wellness Tracker

Real-time blink detection (MediaPipe, PyQt6) with an offline-first telemetry backend — SQLite outbox, async FastAPI, idempotent ingestion for unreliable networks.

MediaPipePyQt6FastAPI

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02 / About

I build AI agentsthat make decisions —not justconversation.

At Circuitry.ai I lead the agents team behind our decision intelligence platform — multi-agent orchestration that scores a claim, then decides what happens next: release payment, retry a failed downstream call, or escalate to a human with the full reasoning trace attached.

0%cut in dialogue system costs

0%enterprise document coverage

0%latency reduction (10s → 5s)

03 / Experience

Where I’ve been

Click a role to see what actually shipped.

2017 — 2021B.Tech, Electrical Engineering IIT Dharwad

— / Stack

Toolbox

What I actually reach for. Highlighted items are where I spend most of my time.

ai & agents12

LLMs
RAG
Agentic AI
Reasoning Frameworks
MCP
A2A
LangGraph
LangChain
CrewAI
OpenAI API
Anthropic API
Vision-based Chunking

backend07

FastAPI
Django
DRF
Flask
SSE streaming
JWT
Distributed State Management

ml & cv07

PyTorch
Scikit-learn
BERT
OpenCV
MediaPipe
NLP
Semantic Chunking

infra08

AWS
GCP
Docker
Kubernetes
Temporal
Redis
OpenTelemetry
Datadog

data06

PostgreSQL
Milvus
Neo4j
Redis
Chroma
SQLite

currently03

agent reliability evals
production agentic systems
autonomous workflows

04 / Writing

Notes from the work

I'm starting to write about agent-to-agent orchestration, MCP, and the reliability problems nobody mentions in the demo — the part between "it works" and "it's safe to let it move money."

Read on Medium

05 / Contact