---
title: "Harsh Kumar - Senior Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Harsh Kumar, Senior Software Engineer at Tellius | Building RAG & LLM-Orchestration Systems (LangGraph, Qdrant, Multi-Agent Retrieval) based in Greater Bengaluru Area. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/harsh-kumar-26/share-image"
---

# Harsh Kumar on Tal

## Headline

Senior Software Engineer at Tellius \| Building RAG & LLM\-Orchestration Systems \(LangGraph, Qdrant, Multi\-Agent Retrieval\)

## About

I'm a Senior Software Engineer at Tellius, where I design and build the AI infrastructure behind our decision\-intelligence platform — from production\-grade Retrieval\-Augmented Generation \(RAG\) systems to autonomous quality\-monitoring agents\. Most recently, I architected and independently built tellius\-health\-agent, an autonomous service that auto\-discovers a customer deployment's data and configuration and runs automated \+ LLM\-judge evaluations across five capability areas \(Text\-to\-SQL, RAG, routing, MCP, regression\) — cutting manual QA effort from hours to minutes and shrinking failure\-detection time from customer\-reported \(days\) to a nightly cycle\. Before that, I led a cross\-timezone team of 3 engineers to ship a production RAG platform spanning 5 enterprise document sources \(Google Drive, S3, GCS, Azure Blob, SharePoint\), combining custom Airbyte connectors, Mistral OCR, Airflow\-orchestrated hybrid Qdrant indexing \(BM25 \+ SPLADE \+ Dense\), and a LangGraph multi\-agent retrieval service with RRF fusion and cross\-encoder reranking\. Earlier in my career at Tellius and at Lam Research, I built backend APIs, ETL pipelines, and production tooling — including infrastructure that cut document retrieval time by 80% and deadlock resolution time by 90%\. I work primarily in Python, with FastAPI, LangGraph, LangChain, Qdrant, Airflow, and Kubernetes — always happy to talk applied LLM systems, RAG architecture, or agentic evaluation\.

## Location

Greater Bengaluru Area

## AI stack

claude code

codex

cursor

deepseek

gemini

github copilot

## Work experience

Senior Software Engineer at Tellius, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru · Hybrid, • Architected and independently built tellius\-health\-agent, an autonomous FastAPI service that auto\-discovers a deployment's Business Views, unstructured workspaces, and workflows, and runs automated \+ LLM\-judge evaluations across 5 capability areas \(Text\-to\-SQL, RAG, routing, MCP, regression\) — cutting per\-deployment QA time from hours to minutes and shrinking failure\-detection latency from customer\-reported \(days\) to a nightly automated cycle\. • Authored the technical design and phased implementation roadmap for company\-wide AI\-quality monitoring spanning structured, unstructured, routing, and MCP testing areas\. • Architected and shipped a production RAG platform across 5 enterprise document sources \(Google Drive, S3, GCS, Azure Blob, SharePoint\) by leading a cross\-timezone team of 3 engineers to deliver custom Airbyte connectors with Mistral OCR, Airflow\-orchestrated hybrid Qdrant indexing \(BM25 \+ SPLADE \+ Dense\), and a LangGraph multi\-agent retrieval service with RRF fusion and cross\-encoder reranking\.

Software Engineer 2 at Tellius, Feb 2022 \- Jul 2025 · 3 yrs 6 mos, Bengaluru · Hybrid, • Reduced query processing time for moving window calculations by 30% by redesigning the aggregation architecture to support moving average, moving min, and moving sum\. • Enabled multilevel sorting and top\-N filtering for pivot tables, reducing report generation stepsby 80%, by architecting an extensible pivot table engine\. • Improved operational visibility for 5\-6 background jobs by designing a real\-time task tracking system, reducing mean debugging time by 50%\.

Software Engineer ll at Lam Research, Feb 2021 \- Feb 2022 · 1 yr 1 mo, Bangalore Urban, • Reduced mean time to resolve deadlocks by 90% by implementing automated deadlock detection that captures detailed logs and tool state on trigger\. • Improved team technical proficiency across 3 technology domains by leading regular knowledge\-sharing sessions, driving continuous learning within the team\. • Improved tool throughput by resolving critical escalations and performance bottlenecks identified through systematic profiling\.

Software Engineer at Lam Research, Aug 2019 \- Feb 2021 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Reduced feature document retrieval time by 80% for 3\-4 internal teams by designing an infrastructure to filter and serve Markdown documents as structured HTML with consistent CSS styling\.

## Education

Bachelor of Engineering, Computer and Information Sciences and Support Services, Dayananda Sagar College of Engineering, BANGALORE

[View the original profile](https://tal.club/meet/harsh-kumar-26)

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