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KM
Kaushik Mukherjee
Executive technology leader specializing in search, ads, and data/AI platforms
Bangalore, IndiaChief Technology and Data Science OfficerExecutiveFinTechE-commerceRetail
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About
Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.
Experience
Chief Technology and Data Science Officersuper.money
Founder and CEORaptorise
VP Technology and Head Software Engineerudaan
Sr. Director of EngineeringFlipkart
Sr. Director of EngineeringOla
Sr. Engineering ManagerFlipkart
Engineering ManagerYahoo!
Tech ManagerAOL
ArchitectSymphony Services
Sr Software EngineerWipro
Analyst ProgrammerTrigyn Technologies
Software Engineer, InternWebel Technologies
Education
PESIT, Bangalorebachelor, Computer Science (2000)
Key Strengths
- Defined and executed roadmap to scale UPI growth from ~20M to 30M daily transactions in a quarter with CAC as a constraint
- Built fraud prevention using graph implementations and ML models (community formation, device benchmarks) with near-real-time SLA requirements
- Improved fraud model performance by incorporating user feedback loops to reduce false positives and increase AUC/RIG
- Scaled engineering org from 12 to 155 in ~1 year with platform/foundation/business-aligned teams and cross-functional pods
- Implemented CI/CD guardrails with canary + auto-rollback, reducing system degradations ~75% and increasing release velocity
- Applied GenAI to accelerate delivery (code generation, automated test case generation for apps/web)
- Strong change management and stakeholder alignment under bandwidth constraints
- Creates innovation mechanisms in distributed teams (hack days, structured brainstorming, overlapping hours)
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