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Artham Vasu

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

Bengaluru

1+ year of work experience

ICICI Bank
Jul 20251 yr 5 mosPresent

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

Artham’s AI Stack

n8n
n8n
notion
notion
openai
openai
claudecode
claudecode
ChatGPT
ChatGPT
ChatGPT Images
ChatGPT Images

Education

Manipal institute of technology

Bachelor of Technology, Information Technology

Manipal institute of technology

20214 yrs2025
FIITJEE

PCM, JEE

FIITJEE

20192 yrs2021

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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/