---
title: "Artham Vasu - Product Manager (Deputy Manager II) in Bengaluru | Tal"
description: "Meet Artham Vasu, Product Manager @ ICICI Bank | Cutting security exposure through data-driven automation based in Bengaluru. AI stack includes n8n, notion, and openai. Explore public work links including arthamvasu.com."
image: "https://tal.club/meet/artham-vasu/share-image"
---

# Artham Vasu on Tal

## Headline

Product Manager @ ICICI Bank \| Cutting security exposure through data\-driven automation

## About

I'm a Product Manager with 1\+ years shipping inside a regulated enterprise — and before that, building a full\-stack platform from zero to adopted\-by\-8\-departments\. At ICICI Bank, I own workflow strategy for internal security and operations platforms, working daily with engineering, security, and infrastructure teams\. The short version of what that's produced: a 30% reduction in security exposure by prioritizing high\-impact automation over lower\-value fixes, a 25% cut in SLA breach violations by mining SLA/TAT and KPI data to find recurring bottlenecks before they became escalations, and 125\+ analyst hours saved per month by owning the roadmap for exception\-management dashboards that stakeholders actually asked for — not ones I assumed they wanted\. Before ICICI, I built TCMS — a timetable and faculty\-management platform — end to end\. I interviewed 18 stakeholders \(administrators and department heads\) to find where the real pain was, translated that into 25\+ business requirements and user stories, scoped an MVP that balanced what stakeholders wanted against what an 8\-engineer team could actually ship, and ran the sprint planning and release process myself\. It's now used across 8 departments and cut manual timetable\-generation effort by 90%\. That project taught me the part of PM work nobody puts in a job description: the gap between "stakeholders told me what they want" and "what they actually need" is usually where the real product decision lives\. I also co\-authored and presented an Explainable AI paper on kidney CT scan classification at IEEE MoSICom 2025 — not because I plan to become a researcher, but because I wanted to actually understand how the ML systems I increasingly build products around work under the hood, not just what they output\. What I care about, consistently, across all of this: finding the real bottleneck before building anything, structuring ambiguity into a plan someone can actually execute, and shipping something you can measure the impact of afterward\. Always happy to connect with other builders and product folks — especially anyone working at the intersection of AI and enterprise software\.

## Location

Bengaluru

## AI stack

n8n

notion

openai

claudecode

ChatGPT

ChatGPT Images

## Work experience

Product Manager \(Deputy Manager II\) at ICICI Bank, Jul 2025 \- Present · 1 yr 5 mos, Mumbai, Maharashtra, India, \- Own workflow strategy for internal security platforms, partnering with engineering, security, and infrastructure teams to improve enterprise\-wide data visibility — cut security exposure by 30% by prioritizing high\-impact workflow and automation improvements over lower\-value fixes \- Defined product requirements for the Phase 2 rollout of the iInsight platform, coordinating UAT, release validation, and production readiness for on\-time deployment \- Mined SLA/TAT and operational KPI data to identify recurring bottlenecks, prioritizing automation fixes that cut SLA breach violations by 25% \- Owned the roadmap and delivery of ASM and exception\-management dashboards, gathering and prioritizing stakeholder requirements — saved 125\+ analyst hours per month

## Education

Bachelor of Technology, Information Technology, Manipal institute of technology

PCM, JEE, FIITJEE

## Public links

- arthamvasu\.com: https://arthamvasu\.com/

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

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