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Subhadip Mitra

Data & AI Executive

I build the practices, teams, and systems that turn AI from research into enterprise reality. 15+ years driving enterprise transformation across data engineering, AI systems, and organizational leadership. Head of Data & Analytics for Google Cloud Southeast Asia; built the practice from zero to ~$X0M in delivery value across 7 countries, overseeing a ~$X0M regional portfolio as Site Lead. Member of Google's delta innovation team with 8 technical disclosures and peer-reviewed research published at ICLR, spanning distributed systems, LLM inference, and agentic AI.
Last updated: March 2026

Note: This is a public version with certain details removed for privacy. For a comprehensive resume including specific project metrics and contact details, please reach out via email or LinkedIn.

Experience

Head of Data & Analytics, Southeast Asia | Site Lead, PSO Southeast Asia

Google Cloud - Professional Services Organization

Progressed from Senior Technical Solutions Consultant to Head of Data & Analytics (Year 2) to additionally Site Lead for all PSO practices in Southeast Asia (Year 3). Member of delta, Google Cloud Consulting's innovation team of AI and engineering experts delivering enterprise transformation from vision to production.

Leadership & Strategy

  • Practice & Regional Operations: Built D&A practice from zero to ~$X0M cumulative delivery value across 6 SEA countries, with delivery extending to Australia, Japan, India, and Korea. As Site Lead, oversaw ~$X0M regional portfolio across all 7 PSO practices, achieving 97% CSAT and 100% annual revenue targets.
  • Data Strategy: Created Practice's Data Strategy competency from scratch, generating $X0M+ in pursuit pipeline within 2 years through 14 executive engagements. Stood up the first AI COE for a major Thai bank and first Data Monetization platform for a leading Indonesian telco.
  • Account Retention: Rescued a strategic SEA account facing platform exodus by designing a multi-agent AI solution accelerator, converting a potential departure into a $X0M+ 3-year commitment. Led recovery of a $X0M at-risk cross-regional engagement called upon by senior leadership.

Enterprise Delivery & Innovation

  • Enterprise AI: Delivered first-of-its-kind ML notebook migration (30K+) for a major bank using a custom multi-agent system, unblocking GCP adoption. Led GenAI reconciliation for a major airline (replicated across JAPAC), petabyte-scale modernizations for Fortune 500 clients, and a sovereign GenAI program across 20+ government agencies.
  • Agent Program Office: Designed and launched JAPAC's Agent Program Office (APO), operationalizing AI agents across 5 practices and 6 sub-regions, sponsored by MD of PSO JAPAC. Made agentic assessment mandatory for all Deal Reviews, established Agent Champions network, launched 7 pilot projects. Targeting 10% efficiency across 120+ person org, positioning JAPAC as global benchmark for agent-driven delivery.

People & Cross-functional Leadership

  • Talent Development: Built hiring pipelines across Indonesia, India, Australia, and Greater China. Mentored practitioners through Google's internal mentorship program and the Skills Ignition national traineeship (IMDA Singapore partnership).
  • Cross-functional Partnership: Partnered with Sales leadership across SEA on go-to-market strategy and account planning. Coordinated across all JAPAC practice leads to define agent-building ownership (targeting 70-80% practice-built agents) and integrate agentic efficiency into existing delivery governance.

Principal Engineer - Data & Analytics Transformation

Standard Chartered Bank

Led design and development of retail bank's data & analytics platform serving 11 markets, 100+ systems, and 1200+ users.

  • Developed self-service ML Workbench with 500+ production models, reducing deployment time from 6 months to 1 week
  • Architected MarTech strategy driving 30% increase in customer acquisition through data-driven personalization
  • Created credit risk models over 15,000+ named entities leveraging news trends and social signals, reducing potential losses by $XM

Principal Data Engineer / Solution Architect

Think Big Analytics (a Teradata company)

Architected enterprise-scale data solutions for Fortune 500 clients across APAC.

  • Designed 5 global data lakes with ETL pipelines handling 1.2 PB/hour and 40K daily files
  • Engineered real-time platform processing 2.5M events/second, improving Ad campaign responsiveness by 80%
  • Built ML fraud detection system achieving 60% fewer false positives and 25% higher detection rates, resulting in $XM savings

Prior Roles

Technology Leadership, Startup Founder, Core OS Engineering

Various roles spanning startup founding (B2B marketplace, 15 cities), fintech payments platforms, and Windows Kernel development (Windows 7/8, Server 2012 R2). Details available on request.

Research & Open Source

2025

Spark LLM Eval - Distributed Evaluation Framework

Enterprise-scale LLM evaluation on Apache Spark addressing the gap in statistically rigorous model assessment. Bootstrap confidence intervals, paired significance tests, multi-provider support (OpenAI, Anthropic, Gemini), Delta Lake integration.

2025 - Present

LLM Inference Efficiency Research

Tackling the memory-bandwidth bottleneck in LLM inference through speculative decoding (6 techniques, 2-3x speedup) and custom Triton kernels (RMSNorm 8.1x faster, 88% peak A100 bandwidth). Supports CUDA, Apple Silicon, and CPU.

2025 - Present

AI Metacognition Toolkit

Activation-level detection of sandbagging and deception in LLMs. Linear probes achieve 90-96% accuracy across Mistral, Gemma, and Qwen; steering vectors reduce sandbagging by 20% without retraining. Published on PyPI.

2025

Steering Vectors for Agent Behavior Control

Runtime control of LLM agent behaviors through activation steering - 65% uncertainty detection on ambiguous queries while maintaining 100% confidence on factual ones. LangChain integration, tested on Mistral-7B, Gemma-2-9B, Qwen3-8B.

2025

CatchMe - Intelligent Trust Engine

Industry-agnostic agentic AI for enterprise trust decisions. Automated Pattern Learning System (APLS) with cascade routing achieving 86% cost reduction and sub-50ms latency.

Education

MBA, Business Analytics

Birla Institute of Technology and Science, Pilani

MTech, Software Systems

Birla Institute of Technology and Science, Pilani

Publications & Technical Disclosures

Technical Expertise

Data Engineering & AI

Apache Spark, Apache Kafka, Delta Lake, Apache Iceberg, PyTorch, LangChain, LangGraph, Google ADK, Multi-Agent Systems, RAG Architecture, MLflow

Cloud & Infrastructure

Google Cloud Platform, Vertex AI, GKE, Terraform, Kubernetes

Programming & Systems

Python, SQL, Scala, Triton, CUDA

Notable Projects

2024 - Present

LLMConsent

Privacy-preserving consent management protocol for LLM training data - enabling transparent opt-in/opt-out mechanisms with cryptographic verification.

  • Decentralized consent registry on public blockchain
  • Cryptographic proof of consent status
  • Real-time opt-out enforcement for AI training
  • GDPR-compliant privacy controls for GenAI era
2022 - 2023

Open Location Proof Protocol

A privacy-aware open protocol for non-repudiable location verification in physical or virtual spaces.

  • Cryptographically secure yet privacy-preserving protocol
  • Fully decentralized architecture resistant to tampering
  • Published comprehensive specifications for industry adoption
2021 - 2022

OConsent - Open Consent Protocol

Production implementation of the OConsent research protocol - a working system for managing user consent and privacy on public blockchains.

  • Full-stack implementation with live deployment at oconsent.io
  • Smart contract suite for on-chain consent management
  • GDPR-compliant with automated audit capabilities
2024 - 2025

SMPP Core

Modern Java 21 SMPP protocol implementation with virtual threads for high-performance SMS messaging.

  • 1.8M PDU decodes/sec, 1.5M encodes/sec, 25K network round-trips/sec
  • Complete SMPP 3.3, 3.4, 5.0 support with modular architecture
  • Published on Maven Central
2016 - 2025

ISO8583 Simulator

High-performance financial message processing tool for ISO 8583, used by banks and payment processors.

  • 180k+ TPS message parsing with Cython optimization
  • Multi-network support (VISA, Mastercard, AMEX, Discover, JCB, UnionPay)
  • Published on PyPI with AI-powered test generation
Subhadip Mitra