Subhadip Mitra
Architecting the Future of Data & Applied AI
Leading Google Cloud's Data & Analytics practice across Southeast Asia. Building teams, pioneering frameworks, delivering transformation at petabyte-scale.
Data & Analytics Manager | Site Lead Southeast Asia
Lead Data Analytics delivery and cross-practice operations across 7 countries in Southeast Asia. Built 0-to-1 organization establishing the region's premier Data & AI practice. Pioneered technical frameworks (FTCS, ETLC, ARTEMIS) and production-ready AI agent systems for autonomous data engineering. Led critical interventions safeguarding $XXM+ revenue while scaling enterprise Data and AI transformation across multiple sectors.
What I Do Best
- Technical Leadership - Building high-performing engineering teams
- Architecture - Petabyte-scale data platforms & ML systems
- Innovation - Research that becomes competitive advantage
- Transformation - Enterprise AI/data strategy & execution
Academic Background
- MBA, Business Analytics - BITS Pilani
- MTech, Software Systems - BITS Pilani
IIT Madras • IEEE • ACM • SCS • RIN
Recent Posts
The Data Platform Crisis Hiding Behind AI: Why you have 6 months to pivot
TL;DR: The Data Platform Crisis Hiding Behind the AI Revolution The Problem: Enterprise data platforms...
AI Meta-Cognition - The Observer Effect Series
The Complete Guide to Situational Awareness, Scheming, and Alignment Faking in Frontier AI Models. A...
Building Safer AI: Industry Response and the Path Forward - (Part 4/4)
TL;DR: Despite discovering that AI models can recognize evaluation contexts, strategically deceive, and fake alignment,...
AI Metacognition Toolkit
Production-ready framework for systematic reasoning in AI systems - enabling transparent, metacognitive decision-making at scale
Frameworks That Move the Industry
Field-Theoretic Context System
Novel approach modeling context as interacting fields rather than discrete states, enabling natural context flow and dynamic evolution in AI systems.
Read Technical DisclosureContext-First Data Processing
Framework reimagining data integration for the GenAI era by adding semantic, relational, operational, and behavioral context to pipelines.
Read WhitepaperARTEMIS Multi-Agent Framework
Adaptive framework for multi-agent decision systems using structured debate protocols to enhance enterprise decision-making.
Read Technical DisclosurePrivacy & Consent Protocols
Open-source frameworks for secure data sharing and consent management. OLP & OConsent (2021-2022) focused on blockchain-based GDPR compliance. LLMConsent (2025) extends this to AI training data, agent permissions, and user sovereignty.
What I'm Exploring Now
Contextual Representation for AI
Advancing field-theoretic approaches to context processing in AI systems, focusing on efficient relationship modeling and dynamic evolution.
Multi-Agent Enterprise Systems
Building practical frameworks for coordinated AI agents solving complex business problems at scale with emphasis on reliability and governance.
Distributed Systems & Infrastructure
Researching efficient architectures for AI systems at scale - from LLM serving and inference optimization to graph-based modeling of resource interactions across distributed cloud infrastructure.
Orbital Edge Intelligence Systems
Advancing autonomous processing architectures for LEO satellite constellations - focusing on on-orbit analytics, inter-satellite task coordination, and distributed reinforcement learning for real-time geospatial intelligence without ground latency.
Let's Build Something Extraordinary
Looking for technical leadership, collaboration opportunities, or just want to discuss the future of AI? I'm always open to meaningful conversations.