Pranavi Peramsetty

Pranavi Peramsetty

Associate Technical Lead at Kore.ai


About

I build enterprise agentic AI (multi-agent orchestration, RAG, LLM platforms) and lead engineering for Fortune-100 banking clients. Open to AI Engineer and Forward Deployed Engineer roles.

Skills
Agentic AI
Multi-Agent Orchestration
LangGraph
LangChain
RAG
LLM Guardrails
Prompt Engineering
OpenAI
Anthropic Claude
Amazon Bedrock
TypeScript
Node.js
NestJS
Python
MongoDB
Redis
Presto/Trino
ClickHouse
RabbitMQ
Kubernetes
Docker
OpenTelemetry
Grafana
Distributed Systems
Forward Deployed Engineering
Enterprise Escalations
Root Cause Analysis
Experience

Associate Technical Lead

Kore.ai

Jan 2026 to Present
  • Engineering lead for Fortune-100 banking and enterprise accounts on the Unified XO (UXO) platform.
  • Resolved 35+ Critical/High escalations from first customer call to production fix across US, EU and APAC clouds.
  • Eliminated 10x Presto/Trino query fan-out with Redis caching, ending an analytics outage and fixing 5-minute dashboard loads.
  • Restored GenAI answer accuracy for a banking deployment by fixing stale retrieval chunks in the RAG sync pipeline.
  • Shipped payload encryption, rate limiting and public APIs for 6 contact-center integrations.
  • Led OpenTelemetry tracing and Redis-backed runtime performance work on the Agent Platform.

Senior Software Engineer

Kore.ai

Jul 2021 to Dec 2025
  • Agent Platform: Founding backend engineer. Built a LangGraph supervisor orchestration engine, a unified LLM gateway (OpenAI, Anthropic, Azure) that cut new-provider integration from 3 days to 4 hours, sandboxed tools, versioning and out-of-the-box guardrails.
  • Generative AI Workflow Platform: Built an event-driven workflow engine handling 1M+ daily workflows with <100ms p95 latency and 99.99% uptime.
  • Chatbot Platform: Built conversational analytics pipelines on Presto and MongoDB; cut report latency from 15 min to under 2.
Projects

Multi-Agent Orchestration Engine

Supervisor-pattern execution engine on LangGraph StateGraph with dynamic DAG construction, conditional branching and SSE streaming for real-time agent monitoring.

LangGraph
TypeScript
NestJS
MongoDB

Unified LLM Gateway

Adapter-based gateway across OpenAI, Anthropic and Azure OpenAI that cut new-provider integration from 3 days to 4 hours.

TypeScript
NestJS
LLM APIs

Out-of-the-Box AI Guardrails

Pre-deployed prompt-injection and toxicity scanners for agent apps, with risk-score thresholds and output evaluation, so teams get safety without setup.

Python
NestJS
ML scanners
Education

B.Tech

Indian Institute of Technology (IIT), Jodhpu

Aug 2017 to May 2021
Pranavi Peramsetty · DevFest Hyderabad 2026