---
title: "Krishnatejaswi Shenthar - Analyst - AI & Agent Systems in Bengaluru | Tal"
description: "Meet Krishnatejaswi Shenthar, AI Engineer, Production LLM Systems | RAG, LangGraph, Agentic Workflows | 1B+ Tokens/Month | 1,500+ Hours Saved/Year | Ex-RingCentral based in Bengaluru. AI stack includes deepseek, hermes agent, and langchain. Explore public work links including github and leetcode."
image: "https://tal.club/meet/krishnatejaswi-s/share-image"
---

# Krishnatejaswi Shenthar on Tal

## Headline

AI Engineer, Production LLM Systems \| RAG, LangGraph, Agentic Workflows \| 1B\+ Tokens/Month \| 1,500\+ Hours Saved/Year \| Ex\-RingCentral

## About

I build production AI systems that turn complex domain problems into reliable software end\-to\-end, from database to Infra and deployed LLM pipeline\. Currently building agentic systems at Future Standard\. I think and write about production LLM systems, RAG architecture, and the gap between AI demos and shipped software\. Always happy to chat AI engineering — DM open\. At OnFinance AI, I built ComplianceOS end\-to\-end \(DB \+ backend \+ cloud \+ LLM pipelines\) for BFSI compliance automation\. Designed a production RAG pipeline over financial regulations and engineered LangGraph \+ LiteLLM agentic workflows handling 1B\+ tokens/month\. Contributed to AI features that helped drive $800K\+ ARR and supported the $4\.2M Pre\-Series A with technical demos\. At RingCentral, I modernized legacy Angular 1\.x into React \+ Redux for enterprise contact\-center products — cutting load time from \~2s to <0\.5s and raising test coverage to 95%\. Same end\-to\-end ownership, different domain\.

## Location

Bengaluru

## AI stack

deepseek

hermes agent

langchain

langgraph

openai

PydanticAI

## Work experience

Analyst \- AI & Agent Systems at Future Standard, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India, • Designing agentic memory architectures that let AI agents retain and recall operational context across multi\-step workflows\. • Building agent systems for operations and process intelligence — automating discovery, decision support, and execution monitoring for operational workflows\. • Owning end\-to\-end delivery: agent orchestration \(LangGraph/LiteLLM\), backend APIs, evaluation pipelines, and production deployment\.

AI and Full Stack Engineer at OnFinance AI, Jun 2025 \- May 2026 · 1 yr, Bengaluru, Karnataka, India, • Built ComplianceOS end\-to\-end \(DB → backend → cloud → LLM pipelines\), cutting BFSI compliance effort by 1,500\+ hours/year • Shipped AI features that contributed to $800K\+ ARR growth • Designed a production RAG pipeline for complex financial regulations with versioned embeddings and citation grounding • Engineered LangGraph \+ LiteLLM agentic workflows processing 1B\+ tokens/month for BFSI compliance products • Built technical demos used in $4\.2M Pre\-Series A raise\.

SDE Intern at RingCentral, Jan 2025 \- Jul 2025 · 7 mos, Bengaluru, Karnataka, India, • Migrated critical components from Angular 1\.x → React \+ Redux, modernizing legacy systems • Improved application performance by 3x \(2s → <0\.5s load time\) • Increased test coverage to 95% using React Testing Library • Implemented accessibility improvements for enterprise contact center systems • Integrated features into CI/CD pipelines ensuring production reliability

## Education

Bachelor of Engineering \- BE, Computer Science, RV College of Engineering

Pre University, Science, Mahesh PU college Mangalore

## Public links

- github: https://github\.com/KTS\-o7
- leetcode: https://leetcode\.com/KTS\-o7

[View the original profile](https://tal.club/meet/krishnatejaswi-s)

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