Pankaj Ahire

Pankaj Ahire

Principal Solutions Engineer @ Salesforce | API-led Agentic Architectures

Role
Principal Solutions Engineer at Salesforce
Location
New York, NY, US
LinkedIn followers
500 followers

About Pankaj Ahire

I have over 10 years of experience in API-led responsive architectures, data analysis and visualization, enterprise architecture design, and business process engineering. Currently, I help clients across various industries and verticals to leverage the power of GraphQL and Apollo platform to build scalable, secure, and performant data solutions.I am skilled at framing the strategic vision at the executive level, and at hands-on execution at the implementation level. I have extensive banking and wealth management experience, as well as Masters in Mechanical engineering and Computer science. And I am passionate about learning new technologies and solving complex problems with data.

Experience

  1. Principal Solutions Engineer

    Salesforce

    Aug 2025 — Present · New York, NY, US

Education

  • University of Rhode Island

    Master's Degree, Computer Science

    2007 — 2010

  • Indian Institute of Technology, Bombay

    Master's degree, Mechanical Engineering

    2001 — 2006

  • University of Rhode Island

    Doctoral Coursework, Mechanical Engineering

    2006 — 2007

  • Indian Institute of Technology, Bombay

    Bachelor's degree, Mechanical Engineering

    2001 — 2006

  • Kendriya Vidyalaya

    High School

    1995 — 2001

Skills

  • Financial Metrics
  • Sql
  • Linux
  • Software Engineering
  • Wealth Management
  • Numpy
  • Statistical Data Analysis
  • Analysis
  • Predictive Analytics
  • Data Visualization
  • Business Intelligence
  • Crm
  • Banking
  • Data Governance
  • Cmmi
  • C++
  • Process Optimization
  • Predictive Modeling
  • Analytical Skills
  • Haskell
  • Machine Learning
  • Business Strategy
  • Python
  • Algorithm Development
  • Automation
  • Business Process Improvement
  • Matplotlib
  • Processing
  • Reporting & Analysis
  • Executive Reporting
  • Tableau
  • Statistical Modeling
  • Management
  • Time Series Analysis
  • Quantitative Analytics
  • C
  • Programming
  • Optimization
  • Banking Technologies
  • Lisp

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