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
Bengaluru
6+ years of work experience
Jul 20262 moPresent
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.
Mar 20251 y 3 moJun 2026
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
Sep 20222 yrs 6 mosFeb 2025
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.
May 20211 yr 4 mosAug 2022
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
Mar 20201 yr 2 mosApr 2021
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
Bhautik’s AI Stack
Education
Master of Business Administration - MBA
Indian Institute of Technology, Delhi
20192 yrs2021
Bachelor of Engineering - BE, Mechanical Engineering
LDRP Institute of Technology & Research, Gujarat Technological University
20144 yrs2018
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