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This is a public version of my resume with certain sensitive details removed for privacy. These include contact numbers and specific project metrics. For a detailed resume, please contact me at contact@subhadipmitra.com or connect with me on LinkedIn - https://www.linkedin.com/in/subhadip-mitra/

Basics

Name Subhadip Mitra
Label Technical Leader, Data & AI Transformation
Email contact@subhadipmitra.com
Url https://subhadipmitra.com
Summary Hands-on technology leader with 15+ years of experience driving enterprise transformation through AI, Data, and Cloud innovations. At Google Cloud, I lead the Data Analytics practice while spearheading technical innovation through published frameworks like ARTEMIS, FTCS, ETLC and privacy-centric protocols. My approach combines strategic vision with technical execution—building high-performance engineering teams, architecting billion-scale data platforms, and delivering solutions with \$XXM+ business impact across JAPAC.

Work

  • 2021.01 - Present
    Data & Analytics Manager | Site Lead, PSO Southeast Asia
    Google Cloud - Professional Services Organization, Southeast Asia
    Leading Google Cloud's Data Analytics practice while serving as Site Lead overseeing cross-practice delivery governance in Southeast Asia across Data & Analytics, AI, Infrastructure, Security, Enterprise Architecture, and Application Modernization.
    • Direct a \$XXM+ Data Analytics delivery portfolio across JAPAC while simultaneously overseeing a \$XXM+ cross-practice delivery portfolio as Site Lead for Southeast Asia, all with consistent customer satisfaction (last 2 years)
    • Published multiple technical innovations including FTCS (Field-Theoretic Context System), ETLC (Extract, Transform, Load, Contextualize) and ARTEMIS frameworks, demonstrating continued technical contribution beyond management responsibilities.
    • Led critical interventions for strategic accounts across JAPAC including a major financial services provider (7-week onsite intervention transforming governance and architecture) and a global consumer electronics manufacturer (strategic roadmap development preventing customer migration to alternative platform).
    • Executed high-value projects including a global shipping company's 12K+ user analytics migration, a leading bank's first Data & AI Center of Excellence in JAPAC, and a telecom provider's first-of-its-kind Data Monetization Platform.
    • As co-Site Lead, scaled regional delivery excellence contributing to 100% annual revenue target attainment with 97% CSAT across all Southeast Asia projects.
    • Built high-performing teams exceeding utilization targets despite market headwinds, with focused rapid upskilling in GenAI, cloud data technologies, and database modernization.
    • Spearheaded the first \$X million Sovereign GenAI Transformation program, delivering it across 20+ government agencies within 3 months.
    • Contributed to \$XXM+ in strategic pursuits and pipeline development, converting major accounts including financial institutions, manufacturers, and government agencies across JAPAC.
  • 2019.01 - 2021.01
    Principal Engineer - Data & Analytics Transformation
    Standard Chartered Bank
    Led enterprise-wide AI and data platform development serving 11 markets and 1200+ global users, delivering technical excellence while influencing C-suite data strategy.
    • Delivered a Self-Service ML Platform that reduced model development and deployment time from 6 months to 1 week, establishing new standards for model development efficiency.
    • Designed credit risk AI models integrating alternative data sources, improving accuracy by 15% while maintaining regulatory compliance.
    • Modernized MarTech infrastructure, scaling customer analytics and driving a 30% increase in acquisition through data-driven engagement strategies.
  • 2017.01 - 2019.01
    Principal Data Engineer / Solution Architect
    Think Big Analytics (a Teradata company)
    Architected enterprise-scale data solutions for Fortune 500 clients across APAC, designing scalable platforms with measurable business impact.
    • Engineered 5 high-performance data lakes capable of processing 1.2 PB/hour, achieving 20% optimization through architectural innovations.
    • Built real-time fraud detection systems, reducing false positives by 60% and saving \$XM annually through advanced statistical models.
    • Designed and scaled enterprise architectures supporting global Fortune 500 clients across APAC, focusing on performance optimization and business value.
  • 2010.01 - 2017.01
    Software Engineering, Architecture and Technical Consulting Roles
    Various Companies
    Progressively advanced through roles in software development, systems integration, and technical consulting within financial services and algorithmic trading domains.

Education

  • 2021.01 - 2023.01

    Pilani, India

    MBA, Business Analytics
    Birla Institute of Technology and Science, Pilani, IN
    Business Analytics
    • Financial Risk Analytics
    • Marketing Models
    • Financial Management
    • Strategic Management
    • Operations Management
    • Financial and Management Accounting
    • Predictive Analytics
  • 2017.01 - 2020.01

    Pilani, India

    Master of Technology, Software Systems
    Birla Institute of Technology and Science, Pilani, IN
    Software Systems
    • Algorithms
    • Distributed Systems
    • Deep Learning
    • Natural Language Processing
    • Machine Learning
    • Artificial Intelligence (AI)

Certificates

Publications

Skills

Technology Leadership & Strategy
Enterprise Architecture
Technical Vision & Roadmaps
Digital Transformation
AI & Data Strategy
Cloud Architecture
Multi-Region Deployments
Security & Compliance
C-Suite Advisory
Business-Technology Alignment
Innovation Leadership
Strategic Planning
Data Engineering & Architecture
Petabyte-Scale Data Platforms
Data Pipelines
Real-Time Data Processing
Data Mesh & Data Fabric
Data Modeling
Polyglot Persistence
Cloud Data Architectures
Data Governance
Apache Spark
Apache Flink
Apache Kafka
Apache Iceberg
Apache Beam
Generative AI & Machine Learning
Multi-Agent Systems
Large Language Models (LLMs)
Responsible AI
Model Governance
Retrieval-Augmented Generation (RAG)
Vector Databases
LLMOps
Multi-Modal AI
Enterprise AI Integration
ML/AI Infrastructure
Reinforcement Learning from Human Feedback (RLHF)
Context Window Optimization
Engineering Leadership
High-Performance Team Building
Technical Mentorship
Engineering Excellence
Delivery Management
Architecture Reviews
System Design
Performance Optimization
Cross-Functional Collaboration
Problem-Solving
Agile Methodologies
DevOps & SRE Practices
Cloud Platforms & Infrastructure
Google Cloud Platform (GCP)
BigQuery
Vertex AI
Cloud Spanner
GKE
Terraform
Infrastructure as Code
Serverless Architectures
Event-Driven Systems
Microservices
API Design
Distributed Systems
Programming & Development
Python
Java
SQL
C/C++
JavaScript
Scala
Systems Programming
Low-Level Optimization
Concurrency & Parallelism
High-Performance Computing
Algorithm Design
Memory Management

Interests

Context Systems & Field Theory
Field-Theoretic Computing
Continuous Context Modeling
Dynamic Context Evolution
Non-Conservative Information Systems
Context-Aware AI
Adaptive Context Propagation
Multi-Agent Systems
Cooperative AI
Agent Communication Protocols
Emergent Behaviors
Multi-Agent Debate
Consensus Mechanisms
Agent Coordination
Privacy-Preserving AI
Differential Privacy
Federated Learning
Multi-Party Computation
Homomorphic Encryption
Privacy-Utility Tradeoffs
Consent Management
Advanced Computing Architectures
Quantum Computing
Neuromorphic Computing
Post-Quantum Cryptography
Field-Theoretic Computing
Approximate Computing
Non-Von Neumann Architectures
Theoretical Foundations
Mathematical Modeling
Information Theory
Complex Systems
Probabilistic Methods
Distributed Consensus
Theoretical Physics Applications

Projects

  • 2022.01 - 2023.01
    Open Location Proof Protocol
    A privacy-aware open protocol for non-repudiable location verification in physical or virtual spaces, with complete technical specifications and reference implementations.
    • Designed a cryptographically secure yet privacy-preserving protocol for verifiable location attestation.
    • Created a fully decentralized architecture resistant to tampering and third-party manipulation.
    • Published comprehensive specifications enabling adoption across industries from supply chain to fintech.
  • 2021.01 - 2022.01
    OConsent - Open Consent Protocol
    An Open sourced transparent, fast, and scalable protocol for managing user consent and privacy on public blockchains, addressing critical data protection requirements.
    • Engineered a blockchain-based solution for transparent consent management with cryptographic verification.
    • Designed for GDPR and other global privacy regulation compliance with automated audit capabilities.
    • Created a system enabling granular control over personal data usage with tamper-proof consent records.
  • 2016.01 - 2017.01
    ISO8583 Simulator
    A high-performance Java-based simulator for ISO 8583 financial messaging, used by banks and payment processors for system validation and testing.
    • Built a highly flexible simulator supporting multiple ISO 8583 versions and custom message formats.
    • Implemented advanced performance testing capabilities with configurable load profiles.
    • Designed a modular architecture supporting extension to other financial messaging protocols.