Pradeep J.

About Pradeep J.

Engineering and platform leader with 20+ years of experience building AI-powered productivity, data, and infrastructure platforms at enterprise scale. I specialize in applying machine learning and agentic AI to automate workflows across software development, DevOps, and SRE, enabling organizations to move faster with higher reliability and trust.I have led global teams at Tableau and Microsoft delivering developer productivity platforms, ML-driven workflow automation, CI/CD and observability systems, and hyperscale telemetry used by tens of thousands of engineers and hundreds of millions of users.My focus is on operationalizing AI: standardizing development workflows, embedding evaluation and quality gates, driving experimentation, and ensuring security, reliability, and cost efficiency across distributed systems. I am passionate about building strong engineering cultures and platforms that turn emerging AI capabilities into measurable business impact.

Experience

1. Director of Engineering

   Tableau

   Jun 2018 — Present · Seattle, WA, US

   Lead a multi-disciplinary organization of engineers, data scientists, and managers responsible for AI-driven developer productivity, ML-enabled workflow automation, CI/CD platforms, observability, and compliance - supporting Tableau’s global engineering organization.AI-Driven Productivity & ML Platforms- Built ML-driven analytics and workflow automation platforms for defect triage, failure classification, knowledge deduplication, and forecasting—improving engineering productivity, release quality, and operational efficiency- Evangelized applied ML across engineering; built and scaled a 300+ member internal ML community.Developer Experience, CI/CD & Infrastructure- Led modernization of CI/CD platforms in a hybrid cloud environment, migrating core development infrastructure from on-prem datacenters to AWS- Reduced code submission failures by 75% and P95 submission latency by 60%; increased service availability from ~90% to 99.9%- Built developer portals, workflow APIs, third party integrations, and automation to standardize and simplify end-to-end development workflows.Observability, Reliability & Governance- Established SRE discipline and end-to-end observability across build, test, deployment, and production systems- Embedded quality gates, monitoring, and SLA/SLO tracking across engineering platforms- Delivered compliance tooling and reporting for PCI, FIPS, SOC2, OSSDL, and third-party dependency governance.

Education

• Indian Institute of Technology, Kharagpur

  Bachelor’s Degree, Electrical Engineering

  1988 — 1992

• Quantic School of Business and Technology

  Master of Business Administration - MBA, Business Administration and Management, General

  2017 — 2018

• University of Illinois Springfield

  Master’s Degree, Computer Science

  2012 — 2013

Skills

• Customer Intelligence
• Software Development
• Agile Methodologies
• Software Design
• Scrum
• Software as a Service (Saas)
• Big Data
• Web Services
• Project Management
• Technical Leadership
• Ssis
• C++
• Javascript
• Software Development Life Cycle (Sdlc)
• Program Management
• System Architecture
• Enterprise Software
• Enterprise Architecture
• Pl/Sql
• Software Configuration Management
• Operational Intelligence
• Architecture
• Saas
• Oracle
• Data Mining
• Soa
• Cloud Computing
• Web Applications
• Master Data Management
• Software Telemetry
• Java
• Sql
• Software Project Management
• Business Intelligence
• Service-Oriented Architecture (Soa)
• Windows Azure
• Hadoop
• Agile Project Management
• Perl
• Data Warehousing