Subhadip Mitra

Embedded with customers to ship agentic AI in production.

Progressed from Senior Consultant to Head of D&A (Year 2) to Site Lead for all SEA practices (Year 3).

• Agent Program Office. Conceived and launched a first-of-its-kind JAPAC Agent Program Office for a 700+ person organization: secured executive sponsorship, defined the pilot, governance and efficiency-measurement model, and personally built the Agent SDK and telemetry backbone. Positioned for potential expansion to a 2,000+ person global organization.
• First-of-its-kind agent system. Personally designed and built a 19-agent system for an intractable problem: a dbt/BigQuery estate 80 layers deep, its dependencies tangled and circular, with no lineage to show what was safe to change. The agents reconstruct lineage, break circular dependencies, and generate and validate every restructured model themselves; the most complex business unit was rebuilt in six hours. Then stepped in as project lead and turned delivery around in six weeks. The technical core of an account recovery.
• Bank ML migration, in production. A leading Asian bank had to move ~30K notebooks across ~4K ML projects off an on-premises Cloudera platform onto Vertex AI, inside an air-gapped network, before a fixed shutdown. Personally architected and built a first-of-its-kind four-agent accelerator on ADK and Gemini before the engagement began, covering assessment, code and Python 3.6 to 3.11 upgrades, validation and optimization, with human review; built as a reusable factory, not a one-off script. In production: modeled effort down 97.5% (160K to 4K hours); a representative project went from about a week to under 30 minutes.
• Finance AI platform. Sponsored by the customer's CFO and built alongside him: a production AI-assisted reconciliation platform for OTA invoices at a major airline and digital-travel business, designed and built end to end. Multimodal extraction across 2,000+ invoice formats in PDF, spreadsheet and image inputs, multi-language and multi-currency; a hybrid rules engine, static rules plus LLM, that finance teams configure without code; matching against the order system; automated external vendor onboarding; and a queue-management portal with SLA tracking, escalation and reporting. Flags duplicate and missing invoices and tracks refunds to closure. ~97% straight-through processing, the rest human-managed by design; 10K+ line items in under 25 minutes against a manual baseline of days. Framed the wider roadmap for the CFO as Finance-as-a-Service across the group's businesses.
• Practice and site leadership. Built the Data & Analytics practice from zero to eight-figure cumulative delivery value across six countries. As Site Lead, governed delivery across the region's AI/ML, Data, Infrastructure, Application Modernization and Security practices.
• Pursuit portfolio. Led and shaped the strategic Data & AI pursuit portfolio across JAPAC with sales and GTM teams, contributing to major competitive services wins including platform takeouts involving AWS, Azure, Databricks and Snowflake, and to substantially larger downstream cloud consumption. Pursuit leadership recently extended across all of India.
• Sovereign AI. Designed an MCP-based custom connector for Gemini Enterprise on air-gapped Google Distributed Cloud in a sovereign environment, built and delivered by an engineer from the team embedded with the customer.
• Forward-deployed intervention. Selected by VP leadership for an eight-week onsite intervention on a deeply red financial-services migration; helped steer the program back to green.
• Capability building. Founded the practice's data-strategy group, competency pods, a consultant bootcamp and a community of practice; contributed to an SME data and analytics academy and a graduate traineeship with Singapore's IMDA. Hired and helped hire 10+ across India, Greater China, Japan and ANZ.
• Executive advisory. Advised CIOs, CTOs, CDOs, CAIOs and CFOs, presented in Google Executive Briefing Centers, and partnered with GTM directors and regional consulting leadership on account strategy.

Led enterprise AI and data platform transformation for retail banking.

• Partnered with the Retail Bank CIO on data & AI strategy and investment decisions: business-case justification, prioritization and multi-year planning
• Built a data & analytics platform serving 11 markets, 100+ systems and 1,200+ users
• Delivered a self-service ML workbench running 500+ production models, cutting deployment from about six months to about a week
• Built alternative-data credit risk models using news/social signals across 15K+ entities

Architected enterprise data solutions for large enterprises across APAC.

• Designed 5 data lakes with ETL pipelines running up to 1.2 PB/hour and 40K daily files
• Engineered a real-time platform processing 2.5M events/second
• Built ML fraud detection reducing false positives by ~60%

Founded a B2B commercial-vehicle marketplace across 15 cities with 25+ OEM and bank partnerships; built the recommender systems, vehicle auctioning platform and product analytics behind it.

Led payments-platform and bank-integration engineering across Southeast Asia.

Windows kernel components for Windows 7/8 and Server 2012 R2; early Azure ML and CDN architecture optimization.