---
title: "Vinay Kumar Kummarikuntla - Artificial Intelligence Engineer in Bengaluru | Tal"
description: "Meet Vinay Kumar Kummarikuntla, AI Engineer @ BuddyLoan | GenAI, LLMs, RAG & Multi-Agent Systems | LangGraph, LangChain, vLLM | Python, FastAPI, CI/CD, AWS, GCP based in Bengaluru. AI stack includes cursor, langfuse, and langgraph."
image: "https://tal.club/meet/vinay-kumar-17/share-image"
---

# Vinay Kumar Kummarikuntla on Tal

## Headline

AI Engineer @ BuddyLoan \| GenAI, LLMs, RAG & Multi\-Agent Systems \| LangGraph, LangChain, vLLM \| Python, FastAPI, CI/CD, AWS, GCP

## About

AI Engineer building production GenAI systems at BuddyLoan, where I design and ship LLM\-powered platforms that combine reasoning, retrieval, and automation to solve real business problems\. I've built a hybrid AI reasoning pipeline — LLMs, deterministic business logic, structured knowledge retrieval, conversation memory, and intelligent tool calling — that cut manual business\-configuration review time from \~12 hours/week to \~1 hour/week\. One core project: an intent\-driven multi\-agent platform \(Communication, Knowledge, Operations, and Integration agents\) that plans, validates, and executes lender policy and business\-rule changes end\-to\-end — reading emails via Gmail, retrieving grounded policy answers via RAG, and applying validated updates to our rule engine \(GoRules/BRE\), orchestrated with LangGraph and an LLM planner \+ plan validator\. I've also QLoRA fine\-tuned and self\-hosted an LLM serving stack \(Qwen on vLLM/NVIDIA GPUs\) processing roughly 800M tokens/month with continuous batching and prefix caching — keeping sensitive data on enterprise infrastructure\. On the engineering side: FastAPI for serving, Pydantic for structured data contracts between agents, Langfuse for LLM observability \(tracking token usage, latency, and errors in production\), PySpark for large\-scale data pipelines, and CI/CD for reliable, scalable deployment \(\~5K requests/min on production inference services\)\. Before AI Engineering, I worked as a Software Engineer building backend systems \(Python, REST APIs, PostgreSQL, MongoDB, Redis\) — experience that shapes how I build AI systems today: production\-grade, observable, and designed to actually ship\. Open to AI Engineer / GenAI Engineer / LLM Engineer roles where I can keep building systems that go from prototype to production\.

## Location

Bengaluru

## AI stack

cursor

langfuse

langgraph

langsmith

Qdrant

vLLM

## Work experience

Artificial Intelligence Engineer at Buddy Loan, Oct 2024 \- Present · 1 yr 11 mos, Bengaluru

Software Engineer at coinearth technologies, Jan 2023 \- Oct 2024 · 1 yr 10 mos, Hyderabad

Software Development Engineer at MountBlue Technologies, May 2022 \- Dec 2022 · 8 mos, Bengaluru, Karnataka, India

## Education

Software Engineer, Bosscoder Academy

Bachelor of Technology \- BTech, Information Technology, Kakatiya University, Warangal

[View the original profile](https://tal.club/meet/vinay-kumar-17)

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