---
title: "Krish Aryan - Software Engineer - SRE in Bengaluru | Tal"
description: "Meet Krish Aryan, SRE @ Netradyne · building AI agents so PagerDuty doesn’t wake me up at 3AM · AI × Infra × Cloud · occasional over-thinker based in Bengaluru. AI stack includes antigravity, claude code, and codex. Explore public work links including leetcode and github."
image: "https://tal.club/meet/krish-aryan/share-image"
---

# Krish Aryan on Tal

## Headline

SRE @ Netradyne · building AI agents so PagerDuty doesn’t wake me up at 3AM · AI × Infra × Cloud · occasional over\-thinker

## About

I build systems that investigate incidents before anyone has to\. Technically I'm an SRE\. Realistically, I spend most of my time convincing AI agents to do the detective work that used to require a very tired engineer and an unhealthy relationship with grep\. Here's what that's looked like: → TraceLens — an AI agent that autonomously digs through logs, metrics, and alerts and tells you what broke and why\. Not a dashboard\. Not a chatbot\. An agent that actually investigates\. Shipped it org\-wide\. It works\. → AlertFlow — real\-time alert correlation across 150\+ services\. Because 47 simultaneous alerts about the same thing isn't 47 problems — it's one problem and a terrible Tuesday\. → A natural\-language log analysis tool so engineers can ask "what was broken at 2:47PM?" instead of writing grep one\-liners they'll regret later\. Stack I live in: Python · FastAPI · React · AWS · Azure AI Foundry · Docker · K8s · Prometheus · Grafana · Elasticsearch I like working with people who take the work seriously but not themselves\. If you're building something at the edge of AI × infrastructure — or just want to talk shop — say hi\. I read every message\. I respond to most of them\. The bar is just: don't open with "hope this finds you well\."

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

gemini

mcp

openai

## Work experience

Software Engineer \- SRE at Netradyne, Feb 2026 \- Present · 7 mos, The job got more interesting\. Now I architect the AI systems instead of just shipping them\. \- Leading reliability and observability for large\-scale distributed systems powering real\-time AI products\. Fancy way of saying: I make sure things don't fall over, and when they do, we know exactly why in minutes not hours\. \- Architecting internal platforms that automate incident detection, alert correlation, and root\-cause discovery\. The goal is a world where the system explains itself and nobody has to play detective at midnight\. \- Resident AI\-tooling lead for the SRE org\. If it involves an LLM doing something actually useful in production, it probably came through me\.

Associate Site Reliability Engineer at Netradyne, Jul 2025 \- Feb 2026 · 8 mos, This is where things got fun\. \- Built TraceLens from scratch — an agentic AI system that autonomously queries logs, metrics, and alerts, reasons over the data, and surfaces root causes\. Full stack, solo, shipped org\-wide\. FastAPI backend, React \+ SSE streaming frontend, native LLM tool\-calling loop\. No agent frameworks\. Just the spec and stubbornness\. \- Designed incident detection and escalation pipelines integrated with on\-call tooling — so the right person gets paged with context, not just a wall of red\. \- Containerized and deployed internal tooling at org scale with Docker and Kubernetes on AWS\. It scales\. I'm unreasonably proud of it\.

Cloud Intern at Netradyne, Feb 2025 \- Jul 2025 · 6 mos, Bengaluru, Started as an intern\. Left having built a platform covering 150\+ services\. Not bad for six months\. \- Built AlertFlow — real\-time alert correlation across distributed services\. Turned alert storms into structured triage queues\. Made on\-call meaningfully less miserable\. \- Built and maintained monitoring coverage across Grafana, Datadog, Prometheus, and CloudWatch\. At one point I had all four open simultaneously and felt nothing\. \- Automated incident detection and escalation workflows — reduced MTTR through log\-driven diagnostics and structured RCA\. The MTTR went down\. The sleep quality went up\.

Research Associate Intern at Nebulixus, Jun 2024 \- Jul 2024 · 2 mos, India, Applied machine learning for predictive economic modeling using regression & clustering techniques\. Conducted NLP\-based sentiment analysis on economic policies\. Developed interactive dashboards with Power BI to visualize economic trends & inflation patterns\. Presented findings to stakeholders, contributing to data\-driven decision\-making\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Machine Learning, New Horizon College of Engineering

## Public links

- leetcode: https://leetcode\.com/KrishAryan
- github: https://github\.com/KrishAryan12

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

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