Debasish Bhattacharjee

Director of Engineering

San Francisco, California, United States22 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led 7 AI projects with $65M+ business impact
  • Built a chatbot saving $19M/year in support costs
  • Scaled engineering teams from 12 to 100+ globally
Stackforce AI infers this person is a SaaS and AI/ML expert with extensive experience in platform engineering and team scaling.

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Skills

Core Skills

Ai / Ml StrategyPlatform EngineeringAi GovernanceEngineering Leadership

Other Skills

Natural Language Processing (NLP)Python (Programming Language)API DesignTalent DevelopmentDevOpsGenerative AI ToolsOrganizational DesignTechnical StrategyKubernetesAgentic AIMicroservices ArchitectureTerraformObservability & MonitoringRetrieval-Augmented Generation (RAG)AI Workflow Automation

About

I build AI products from concept to production with high-velocity teams. Most recently, I led 7 AI projects at SAP using startup-style squads of 12–25 engineers, shipping each MVP in one quarter or less and delivering ~$65M+ in combined annual business impact.The project I’m proudest of: a RAG-powered chatbot I built hands-on with Claude Code, leading a 12-person team from zero to production in 4 months. It replaced Tier-1 support entirely, cut escalations 40%, and saved $19M/year. I was 50% hands-on, architecting the retrieval pipeline, writing code, and debugging alongside my engineers.What I do:• Scale engineering organizations: Grew teams from 12 to 100+ across 4 continents (NA, India, Brazil, Prague), managing $25M P&L with 99.999% uptime across platforms serving 60M+ users• Ship AI at enterprise scale: 7 production AI systems, including NLP sentiment analysis, OCR mobile apps, real-time AI auditing, ML risk scoring, Recruiting Copilot, Skills Graph, and Supplier Risk platforms• Operate as a player-coach: I still architect systems, review code, and pair-program with my senior engineers. I believe the best engineering leaders stay close to the code. Domains I’ve built in: Enterprise SaaS, Healthcare (radiation oncology, DNA sequencing, cardiac devices - FDA/ISO 13485), E-commerce, FinTech, AI InfrastructureStack: GenAI/LLMs, RAG pipelines, Agentic AI workflows, Kubernetes, AWS/Azure/GCP, distributed systems, microservices, CI/CD, MLOps, observabilityCompanies: SAP (9 yrs), Oracle, IBM, Macy’s, Broadcom, Varian Medical, Thermo Fisher, St. Jude MedicalI write about AI engineering leadership and building high-velocity teams. Follow along if you’re scaling an AI org or hiring engineering leaders who ship.

Experience

22 yrs
Total Experience
3 yrs 8 mos
Average Tenure
9 yrs 1 mo
Current Experience

Automexec

Fractional AI Engineering Advisor

Jun 2025Present · 11 mos · San Francisco, CA · Hybrid

  • Advise enterprise teams and AI-native startups on AI governance, secure LLM deployment in regulated environments, token economics, and production AI reliability across FedRAMP, SOC 2, HIPAA, and GDPR contexts.
  • Build hands-on agentic workflows and enterprise integrations with Claude Code, n8n, and dedicated infrastructure to stay close to real-world orchestration, reliability, and guardrail design.
  • Provide paid expert consulting through GLG, Guidepoint, Coleman Research, and other research networks on AI/ML infrastructure, platform engineering, and enterprise AI strategy.
AI GovernanceLLM DeploymentAgentic WorkflowsPlatform EngineeringAI / ML Strategy

Sap

4 roles

Director of Engineering & Operations, AI/ML Platforms

Promoted

Jul 2022Present · 3 yrs 10 mos · On-site

  • Led 7 AI product launches using startup-style execution: assembling 12–25 person cross-functional squads, shipping MVPs in one quarter, and scaling to production across platforms serving 60M+ users with 99.999% uptime.
  • Reported to VP Engineering. Managed $25M P&L across 100+ engineers on 4 continents.
  • Key AI Projects Delivered (each 0-to-production):
  • RAG Chatbot (Claude Code): Built hands-on with a 12-person team. Replaced Tier-1 support, reduced escalations 40%, saving $19M/year. 50% hands-on, architecting retrieval pipelines, writing code, and debugging in production.
  • ExpenseIt AI OCR Mobile App: Led ML-powered receipt scanning for iOS/Android. Achieved Apple App Store and Google Play’s highest satisfaction ratings for the category.
  • Concur Detect Real-Time AI Auditing: Shipped NLP-based anomaly detection for expense fraud. $9.5M annual savings.
  • Concur Embedded ML Risk Scoring: Deployed predictive risk models across the Concur platform. $8.8M annual savings.
  • SuccessFactors Joule Recruiting Copilot: Built a GenAI-powered recruiting assistant. $9.8M annual savings.
  • Talent Intelligence & Skills Graph: Designed an ML skills ontology system mapping employee capabilities. $8.7M annual savings.
  • Ariba Guided Buying & Supplier Risk: Shipped supplier risk ML models and guided procurement AI. $9.9M annual savings.
Natural Language Processing (NLP)Python (Programming Language)Platform EngineeringAPI DesignTalent DevelopmentDevOps+23

Senior Engineering Manager, Cloud & Mobile Platforms

Promoted

Apr 2020Jun 2022 · 2 yrs 2 mos · On-site

  • Owned end-to-end cloud and mobile platform delivery across web, iOS, Android, Mac, and 25+ device/OS combinations for SAP Concur and TripIt, platforms used by 60M+ travelers globally.
  • Relaunched TripIt in 6 months with a 25-member team: migrated to AWS, redesigned UX, boosted traffic 22%, regained 5M users, and grew revenue 42%.
  • Cut manual testing 60% through vendor partnership with Testlio and Sofy, boosting release readiness 35% in 2 quarters and saving $1.2M/year in QA costs.
  • Achieved 99.999% SLA in 1 year for 70M+ API requests by optimizing CI/CD and backend, raising velocity 35% and defect detection 30%.
  • Led engineering across 25+ devices and 4 platforms, improving system testability and UX validation speed 70%, delivering GDPR-compliant mobile workflows in 6 months.
Platform EngineeringAPI DesignRelease ManagementTalent DevelopmentAmazon Web Services (AWS)DevOps+17

Engineering Manager, Platform Engineering

Promoted

Apr 2018Mar 2020 · 1 yr 11 mos · On-site

  • Built and scaled SAP Concur’s platform engineering and infrastructure automation from the ground up. Grew team from 5 to 8 engineers across 5 scrum teams spanning mobile and web infrastructure.
  • Led 8 engineers across iOS, Android, and web infra: cut delivery delays 30%, improved release consistency 40%, saved $850K in 2 quarters.
  • Scaled cross-functional hiring pipeline 50%, drove 35% delivery consistency improvements, enabled $1.2M/year cost savings via systemized infrastructure upgrades.
  • Engineered CI automation via Jira/Zephyr, cut infra backlog 80%, sped up stability tests 50%, and hit compliance benchmarks across mobile pipelines in 6 months.
  • Unified test automation framework across Browser, Mobile (iOS & Android), and Microservices — replacing 3 separate frameworks into one, reducing development effort and error triaging significantly.
  • Established a fully automated CD/CI test/release pipeline (Apr 2019), enabling continuous delivery.
JavaPlatform EngineeringAPI DesignTalent DevelopmentDevOpsOrganizational Design+13

Senior Developer, Platform Engineering & Infra Automation

Jan 2017Mar 2018 · 1 yr 2 mos · On-site

  • • Engineered CI automation via Jira/Zephyr, cut infra backlog by 80%, sped up stability tests by 50%, and hit compliance benchmarks across mobile pipelines in 6 months.
Python (Programming Language)JavaAPI DesignDevOpsKubernetesNew Relic+7

Oracle

Software Architect

Jan 2015Nov 2016 · 1 yr 10 mos · San Jose · On-site

  • Hired and led 18 SDETs to automate BRM Cloud deployments using Docker/Chef, cutting validation time by 50% and accelerating CI/CD across Oracle Public/Private Cloud.
  • Delivered secure, DR/HA-ready deployments on Oracle Cloud and BMaaS, reducing incident recovery time by 40%, resolving 95% of Qualys issues, and authoring audit-ready privacy SOPs.
API DesignRelease ManagementTalent DevelopmentOrganizational DesignDocker ProductsAWS DevOps+6

Macy's

Engineering Manager

Mar 2014Dec 2014 · 9 mos · San Francisco, California · On-site

  • Drove platform validation frameworks covering 25+ devices and 10+ locales, reducing manual effort by 60% and accelerating global eComm regression testing cycles.
  • Managed 12 engineers and vendors; defined KPIs and dashboards to track test health, boosting BOPS release confidence by 45% across 6 eComm modules.
  • Migrated core systems to microservices & Kubernetes, cutting deploy time 40% and scaling retail ops; mentored 10+ to deliver real-time Spark insights.
  • Led GCP Retail Search integration (Java/SpringBoot), reducing search drop-offs by 20% and boosting conversion by 15%; cut data latency by 35%.
Release ManagementTalent DevelopmentAmazon Web Services (AWS)Organizational DesignTechnical StrategyEngineering Leadership+4

Ca technologies

Principal QA Engineer

Feb 2011Mar 2014 · 3 yrs 1 mo · Santa Clara, California · On-site

  • Built Clarity SaaS automation for provisioning, upgrading, and VM restore; reduced overhead by
  • $2M/year, enabled 40+ CI runs/week, cut turnaround 45%, boosted renewals 20%.
AWS DevOpsTest AutomationDistributed SystemsAgile MethodologiesContinuous Integration / Continuous Deployment (CI/CD)Engineering Leadership+1

Dextersoft consultancy services ltd

Senior Software Engineer Consulting

Dec 2006Feb 2011 · 4 yrs 2 mos · Fremont · Hybrid

  • Provided software engineering and systems consulting to leading medical device and healthcare technology companies:
  • St. Jude Medical (Sunnyvale) - Cardiac rhythm device systems and integration testing
  • Varian Medical Systems - Radiation Oncology treatment platforms development and testing
  • Applied Bio systems (CurrentlyThermo-Fisher Scientific) - DNA sequencing and fragment analysis applications automation testing
  • Bio-Rad Laboratories - Diagnostic systems
  • Apollo Group - Enterprise education technology
Test AutomationDistributed Systems

Ibm

Senior Software Development Engineer

Nov 2003Dec 2006 · 3 yrs 1 mo · Kolkata, West Bengal, India · On-site

  • Developed test automation frameworks for 4 products within 3 years, established software engineeringpractices reducing bugs 65% (150→52/release)

Education

SYMBIOSIS INTERNATIONAL UNIVERSITY

Master of Computer Applications - MCA — Computer Application

University of Mumbai

Bachelor of Science - BS — Computer Science

Jadavpur Vidyapith

High School

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