Leadership That Drives


Ravi Pachipala

Ravi Pachipala

Chief Executive Officer & Delivery Head

  • 25 Years of experience in delivering projects globally
  • Delivered IT and business transformation programmes for mega
    clients — National Grid, 3M,General Motors (GM), General Electric
    (GE), Ford, Royal DSM & StoraEnso.
  • Preferred leader for large and complex transformation programs
    and to turn around troubled IT delivery engagements; known and
    respected for leading continuous improvements, successfulchange
    in projects and building credibility with executive teams and staff.
  • Proficient in Multiple Software Development Methodologies. Can
    identify the best suited methodology for a project.
  • Expertise in implementing Global process standards – CMMi 5,
    PCMM, ITIL, Six Sigma , Lean.
  • Extensive experience with Global delivery model (onsite, offshorenear
    shore), managing multi dimensional/multi – location teams,
    including client engagement, vendor management for customers
    and supporting business change.
  • Delivered large scale Digital Transformation projects.
Suresh Vemulapalli

Suresh Vemulapalli

Chief Technology Officer & Development Head

  • 23 Years of experience in Architecture Services, Agile Development practices and DevOps.
  • More than 12 Years of working experience in UK.
  • Good experience in Architecting the large-scale customer projects such as Drivers and Vehicles Licensing Agency (DVLA) and UK Border Agency (UKBA).
  • Excellent experience in the Java/J2EE technologies, Robotic Process Automation, Machine Learning and Artificial Intelligence.
  • Implementing highly scalable applications using the NoSQL databases and Search engine using Solr.
  • Architecting Multi Tenant Cloud Based Solutions, Digital Transformation projects for Top Enterprises.
Chandra Manohar

Chandra Manohar

Chief Strategy Officer & Architecture Head

  • 27+ years of experience holding various senior positions in Software Development, Enterprise Architecture & Solution Consulting, Pre-Sales, Product Management, Practice Development/Management, Alliance Management, Electronic Process Control Systems.
  • Worked extensively with CxOs, Sales/Delivery Leaders & Partner
    Community at customer sites across Europe, North America, APAC, Middle
    East and India.
  • Deep Technical and Architecture expertise in Digital Transformation with:
    • Web and Mobile Applications (MEAN, MERN, iOS, Android etc.)
    • AI, ML/DL, NLP, Big Data & Analytics, IoT and Visualization Solutions
    • Cloud Implementations (AWS, GCP, Oracle)
    • Oracle End to End Solution
    • Enterprise Integration & SOA, B2B, Mainframe and Other technologies
    • Digital Circuit Design, Assembly Programming, Integration with realtime systems
  • Key Speaker at various events and forums on various topics such as
    “Oracle Strategy”, “Next Generation Architecture and Future Ready
    Systems”, “Cloud-first Strategy for Future-ready enterprises”, “Hybrid
    Cloud”, “Hitachi Big Data & Analytics, IoT, Visualization Solutions” etc.

Dr. Krishna Dutt

Advisory board member - AI/ML

  • Architecting the Large Scale ML applications/Products, Several patents and research papers. Deep Neural networks and developed proprietary
    neural networks development. Cashapona Management team is privileged to announce that Dr. Krishna Dutt joined into Cashapona advisory board
    for ML/AI. He will be driving the strategy, research work and product improvisations at Cashapona in ML/AI area.
  • Established COEs in prior role:
    • Technology Development and Robotics
    • Nano technology
    • Virtual Reality and Virtual Prototyping Center
    • Computational Fluid Dynamics
    • Machine Dynamics and Failure Analysis
    • Turbo Machinery
    • Heat Transfer Group – Technical Group
  • Areas of Expertise:
    • Architecting the Large Scale ML applications/Products
    • Deep Neural networks and developed proprietary neural networks development
    • Several patents and research papers
  • Work in progress:
    • “Code-ML” This is a frame work for small and medium enterprises to leverage the power of Machine Learning / Deep Learning algorithm in their domains without having to any coding expertise and knowledge of deeper applied mathematics. It is intuitive.
    • A book on “Machine Learning using Tensor Flow with Applications ”Code-ML”

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