---
title: "Bhautik Patel - AI Product Manager in Bengaluru | Tal"
description: "Meet Bhautik Patel, Product Manager · Fintech × AI | Credit Risk, Payments, LLM Products | Brillio | Standard Chartered | IIT Delhi MBA | Built 0→1 AI products with LangGraph, Gemini based in Bengaluru. AI stack includes aistudio, antigravity, and claude code. Explore public work links including gi..."
image: "https://tal.club/meet/bhautik-patel/share-image"
---

# Bhautik Patel on Tal

## Headline

Product Manager · Fintech × AI \| Credit Risk, Payments, LLM Products \| Brillio \| Standard Chartered \| IIT Delhi MBA \| Built 0→1 AI products with LangGraph, Gemini

## About

I build products at the intersection of fintech and AI\. For the last four years at Standard Chartered Bank, I have led credit risk reporting platforms used across 12 markets\. I cut reporting cycles by 30%, unified 20\+ data feeds into governed pipelines, and shipped a Python\-native automation that replaced 3\-day manual workflows with 4\-hour automated ones, with LLM\-drafted commentary and hallucination guardrails on top\. Outside of work, I have built two AI products from zero to launch: → GiftSense: An AI gifting engine for India's $75Bn gifting market, using WhatsApp signal extraction for personalized recommendations\. Live at giftsense\-rust\.vercel\.app\. → StockSage AI: Institutional\-grade equity research compressed from hours to 30 seconds, using a 6\-agent LangGraph architecture with explicit confidence scoring\. Live at agentic\-workflow\-analysis\-for\-india\.vercel\.app\. What I care about: \- Real user research over assumed user needs \- Decisions backed by data, not opinion \- Shipping over polishing \- AI products that earn trust through guardrails, not hide behind disclaimers What I am looking for: PM roles in payments, lending, risk, or AI\-native financial products at companies that take user research and product velocity seriously\. Bengaluru, hybrid, or remote\. Background: MBA from IIT Delhi \(2019–2021\), BE from LDRP\-ITR\. Co\-founded an EdTech startup before the bank\. Portfolio & case studies: www\.bhautikpatel\.com GitHub: github\.com/Bhautik1508 Reach me at bhautikpatel0015@gmail\.com

## Location

Bengaluru

## AI stack

aistudio

antigravity

claude code

claude

cursor

langgraph

## Work experience

AI Product Manager at Brillio, Jul 2026 \- Present · 2 mo, Bengaluru, Karnataka, India, • Built the platform's Control Tower, a single observability and governance surface monitoring every deployed agent across 7 dimensions including cost, model, prompt, and security, cutting agent incident triage from hours to under 30 minutes and giving platform owners per\-agent cost attribution for the first time\. • Shipped Semantic Fabric, the platform's governed ontology and knowledge graph layer that supplies trusted business context to agents, lifting retrieval accuracy \~25% in internal evals and cutting onboarding effort for new agent use cases \~30%\. • Led the end\-to\-end reimagining of the platform UX, replacing capabilities scattered across the product with a single coherent structure: defined a new platform\-wide taxonomy and rebuilt user journeys for 7 modules against 5 personas, reducing task\-completion time \~35% and clicks\-to\-first\-agent\-run by half in usability testing\. • Drove an enterprise pursuit for a large US commercial bank end to end: ran client working sessions, built the capability\-to\-ROI narrative, and directed engineering on demos for organization\-wide vulnerability fix ranking and an agentic development lifecycle \(ADLC\), contributing to an $800K win\. • Redesigned commercial banking onboarding as an agentic to\-be flow with human\-in\-the\-loop gates at each control point, compressing a 3 to 7 day multi\-step process to 2 to 3 days with no loss of governance coverage; extended the same pattern to lending, cards, and payments as proof\-of\-concept workflows\.

Product Manager, Credit Risk at Standard Chartered, Mar 2025 \- Jun 2026 · 1 y 3 mo, Bengaluru, Karnataka, India, Led credit risk product across 12 markets and 5\+ business units at one of the world's largest international banks\. Key wins: → Shipped a 3\-phase risk reporting platform end\-to\-end: governed ingestion from 20\+ upstream systems, a unified master table as the single source of truth, and LLM\-drafted commentary on auto\-generated slides\. Reduced reporting turnaround by 30% and freed \~15 analyst\-hours per cycle\. → Cut country and cluster risk appetite reporting from 3 days to 4 hours by replacing manual SQL\+Excel pipelines with a Python\-native solution \(python\-pptx, pandas, FastAPI\)\. Added hallucination guardrails on the LLM commentary layer to ensure regulatory\-grade outputs\. → Designed self\-service dashboards \(Nostro, Risk Appetite, Large Exposure\) used by 50\+ risk analysts across 20\+ markets\. Reduced ad\-hoc data requests by \~40%\. → Owned a Hadoop data lake initiative with end\-to\-end lineage tracking\. Lifted data completeness from \~70% to 92% across 20\+ feeds\. Replaced fragmented Excel workflows with governed pipelines used by Risk, Finance, and Tech\. → Shipped 30\+ quarterly changes across the Risk Book of Work for CIB\. Balanced asks from RFOs, reporting teams, and Tech/Data Strategy squads against fixed engineering capacity and regulatory deadlines\. Domain: Credit Risk · Risk Appetite · Regulatory Reporting · Basel III/IV · IFRS 9 · Data Quality · Data Lineage Stack: SQL · Python · python\-pptx · pandas · Hadoop · Tableau · LangGraph · LLM Integration

Assistant Product Manager at Standard Chartered, Sep 2022 \- Feb 2025 · 2 yrs 6 mos, Bengaluru, Karnataka, India, \- Drove the initial product buildout for SCB's self\-service risk analytics platform before promotion to PM\. → Defined product requirements and dashboard specs for Nostro, Risk Appetite, and Large Exposure products used by 50\+ analysts across 20\+ markets\. Reduced manual reporting time by 30%\. → Owned data quality initiative for a Hadoop data store: defined acceptance criteria, coordinated with 20\+ upstream system owners, and lifted completeness from \~70% to 90%\+ across feeds\. → Ran stakeholder interviews across Risk, Finance, and Tech to map pain points and prioritise the first backlog — 10\+ reconciliation workflows replaced with governed pipelines\.

Presales Consultant \- Hyperautomation/RPA at Prodapt, May 2021 \- Aug 2022 · 1 yr 4 mos, Chennai, Tamil Nadu, India, Drove revenue growth and deal close rates for FAANG\-tier clients in the telecom and tech vertical\. → Rebuilt the RFP/RFI response playbook around customer pain points instead of feature lists\. Contributed to $3M in new revenue and lifted deal close rate by 20%\. → Drove 15% annual revenue growth through Go\-To\-Market strategies grounded in market research, tighter qualification, and partner co\-selling\. → Recognized with multiple Spot Awards for client wins\. Skills: Go\-to\-Market · RFP Strategy · Sales Enablement · Stakeholder Management · Partner Ecosystems

Co\-Founder & Head of Product at Addivity, Mar 2020 \- Apr 2021 · 1 yr 2 mos, Ahmedabad, Gujarat, India, Took an EdTech product from blank PRD to launched MVP in 6 months\. Owned end\-to\-end: product strategy, user research, UI/UX, prioritization, and go\-to\-market\. → Scaled to 240\+ students, 65\+ corporate partnerships, 15\+ industry mentors, and 80\+ team members\. → Validated a two\-sided marketplace model before exit\. → Ran weekly user interviews\. Shipped iterations on 2\-week sprints using RICE\-based prioritization\. → Owned PRDs, roadmaps, and the full product spec for the launch\. Skills: 0→1 Product · PRDs · User Research · MVP Definition · Two\-Sided Marketplaces · RICE Prioritization · Agile · Scrum

## Education

Master of Business Administration \- MBA, Indian Institute of Technology, Delhi

Bachelor of Engineering \- BE, Mechanical Engineering, LDRP Institute of Technology & Research, Gujarat Technological University

## Public links

- github: https://github\.com/Bhautik1508
- bhautikpatel\.com: https://www\.bhautikpatel\.com/

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

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