London, UK

Aditya Thakare

Cloud Architect & Forward Deployed Engineer

12+ years architecting enterprise-scale cloud platforms and AI systems. Recognised expert in GCP, distributed data pipelines, and Agentic AI architectures.

12+Years of Enterprise Engineering
60×Pipeline Performance Speedup
£7.9MCombined Delivery Value
500+Users on GenAI Platform
Keynote

Google Cloud Next

GenAI Platform Architecture Showcase

Architected a self-serve GenAI Conversational Analytics platform that reduced enterprise time-to-insight from weeks to minutes. This architecture was selected and showcased as a flagship enterprise use case at the main Google Cloud Next Keynote stage.

Watch presentation (at timestamp 31:10)
Career

Experience

Accenture — London, UK

AI/ML Computational Science Manager · Lead Cloud Architect & Hands-on IC

April 2019 — Present

  • Architected a self-serve GenAI Conversational Analytics platform enabling 500+ users to generate SQL and charts via plain English — showcased at the Google Cloud Next Keynote.
  • Acted as a direct architectural feedback loop to Google Cloud US Product Engineering, driving upstream fixes and hands-on coding custom middleware solutions.
  • Engineered production LLM evaluation pipelines using BigQuery UDFs, targeting 85% SQL generation accuracy with active prompt drift detection.
  • Designed a zero-hallucination multi-agent RAG pipeline for MPs querying millions of government documents with strict entailment checks.
  • Re-architected a monolithic pipeline into a serverless fan-out system, reducing processing time from 12 hours to 12 minutes across 20 million XML files.
  • Led Cloud Engineering for the world's first CDP-to-GCP deployment, reducing data onboarding from 6 weeks to 3 days per 100 tables.

Accenture — Pune, India

Lead Data Engineer · Major UK Telco Account

March 2017 — March 2019

  • Architected a "first of its kind" Spark-based Right to Be Forgotten (RTBF) GDPR framework across all Hive tables with automated masking.
  • Designed a fault-tolerant REST API interface using complex HBase data models, exposing real-time Smart Cities insights to enterprise clients.

Accenture — India

Software Engineer · UK & Singapore Telecom Clients

2014 — March 2017

  • Led complex Data Platform migrations and built customised WebApps for major telecom clients across the UK and Singapore.
Selected Work

Featured Projects

GenAI Platform

Conversational Analytics Platform

Self-serve platform enabling 500+ enterprise users to generate SQL queries and interactive charts via plain English. Built with modular Python, TDD, and custom Agent classes.

★ Showcased at Google Cloud Next Keynote
RAG Architecture

GovAssist — Zero-Hallucination RAG

Multi-agent validation pipeline for MPs querying millions of government documents. Isolated Evaluation Agent performs strict entailment checks to guarantee verifiable citation grounding.

Zero hallucination guarantee
Distributed Systems

60× Pipeline Speedup

Re-architected a monolithic XML processing system into a serverless, dynamic fan-out pipeline using Apache Airflow and Cloud Run. Processed 20 million files, reducing load time from 12 hours to 12 minutes.

12 hours → 12 minutes
Autonomous AI

Agent Builder — One-Click Generation

Autonomous ADK skill that safely explores massive BigQuery schemas via restricted TABLESAMPLE guardrails to auto-generate complete agent configurations, fully integrated with GitLab CI/CD.

Weeks → seconds for agent creation
Technologies

Tech Stack

GenAI & ML

Gemini EnterpriseGoogle ADKRAG ArchitecturesVector SearchA2UILLM Evaluation

Cloud Infrastructure

Google Cloud PlatformGKE (Kubernetes)Cloud RunDataprocBigQueryTerraform

Data Engineering

PythonPySparkPyTest (TDD)Apache AirflowdbtCloudera

DevOps & Security

GitLab CI/CDFinOps GuardrailsIdentity-Aware ProxyGCP Private Service Connect