Prashanth Thipparthi — CV

Professional Resume · A4 Portrait

Education

B.Tech. Electrical & Electronics Engineering

Sree Chaitanya Institute of Engineering

2008

Certifications

  • Certified Scrum Product Owner (CSPO)
  • Agile Product Owner
  • Python for Automation (self-directed learning)
  • Applied Generative AI & Intelligent Document Processing in Enterprise Systems

Domains

  • AI Product Ownership
  • SaaS & Enterprise Software
  • Digital Platforms
  • Financial Services
  • Industrial EPC
  • Marketplace Concepts

Core Skills

  • Product Ownership & Strategy
  • Roadmap & Backlog Management
  • AI Workflows & Automation
  • Rapid Prototyping
  • Prompt Engineering
  • Data-Driven Prioritisation

Languages

  • English (Professional)
  • Telugu (Native)
  • Hindi (Conversational)
  • Tamil (Starter)

Prashanth Thipparthi

Product Owner | Enterprise Delivery | UAE

Profile Summary

AI-empowered Product Owner and CSPO with 15+ years of product ownership and enterprise software delivery experience. Seven years as Agile Product Owner at Hexagon — owning backlogs, user stories, sprint ceremonies, and 10+ major releases for global clients across 50+ countries using JIRA and Azure DevOps. Strong in rapid prototyping, AI-enabled workflows, document intelligence, data validation, vendor coordination, and cross-functional delivery. Currently leading Digital Twin and Autonomous Operations initiatives at Bilfinger Middle East with AI, analytics, robotics, and enterprise data vendors. Targeting AI Product Owner and Product Manager roles across Dubai, Abu Dhabi, and the UAE.

AI Product Owner Fit

  • Product Ownership & Strategy: backlog ownership, discovery, prioritisation, user stories, acceptance criteria, sprint planning, and release outcomes.
  • AI Tools & Workflows: prompt engineering, LLM workflow design, document intelligence, RAG concepts, validation loops, and human-in-the-loop review.
  • Rapid Prototyping: functional workflow demos, low-code/no-code thinking, AI-assisted build cycles, Python/SQL prototypes, and iterative validation.
  • Cross-functional Coordination: engineering, vendors, clients, QA, leadership, and business stakeholders across global and UAE enterprise environments.
  • Data-Driven Decisions: prioritising by business value, user impact, data quality, adoption, accuracy, and cycle-time reduction.

Key Achievements

  • 10+ major enterprise product releases shipped — deployed across 50+ countries for global Oil & Gas and industrial clients
  • 80% reduction in manual document processing effort through AI-enabled document intelligence workflows
  • 85% improvement in data quality metrics through automated validation pipelines
  • Functional AI and automation tools in daily use by 30–50 engineers on live Abu Dhabi industrial projects
  • Translated ambiguous technical problems into prototypes, user stories, acceptance criteria, and measurable delivery outcomes
  • 3× Performance Excellence Awards + 2× Project Excellence Awards — Hexagon, for critical product delivery

AI Product Leadership

  • Own AI-first product discovery and delivery — moving from ambiguous business problems to working prototypes, user stories, acceptance criteria, prioritised backlogs, and measurable release outcomes.
  • Design AI-enabled workflows for document intelligence, data validation, decision support, and automation — balancing speed, user value, accuracy, and human-in-the-loop controls.
  • Coordinate cross-functional initiatives across engineering, vendors, clients, and leadership — using technical fluency to convert complex concepts into clear product decisions.
  • Use data quality, adoption, cycle-time, and validation metrics to prioritise opportunities and evaluate whether AI workflows are producing real operational value.

Work Experience

Lead – Digitalization

Nov 2024 – Present

Bilfinger Tebodin Middle East

  • AI & Vendor Technical Leadership — Leading technical discussions with Digital Twin, AI, analytics, and robotics vendors; evaluating solution fit, scalability, cybersecurity compliance, integration feasibility, and measurable operational value.
  • Digital Architecture Definition — Designing high-level and logical digital architectures; defining integration frameworks between engineering systems, historian platforms, enterprise systems, and AI layers; reviewing and optimizing vendor-proposed architectures for long-term operational sustainability.

Key Results:

  • Positioned ADNOC assets for advanced autonomous operations through strategic vendor evaluation and architectural alignment with enterprise AI/ML capabilities.

Senior Product Owner – AI Workflows & Digitalisation

Jan 2017 – Aug 2024

Hexagon AB

  • Owned the product backlog end-to-end — writing and refining user stories and epics, prioritising features against business value and client requirements, and managing sprint delivery with cross-functional engineering teams using JIRA and Azure DevOps.
  • Used functional prototypes and workflow demos to clarify ambiguous product concepts with engineering teams and enterprise stakeholders before full implementation.

Key Results:

  • Document automation features reduced manual review effort by 80% — validated with enterprise Oil & Gas clients.

Instrumentation & Documentation Engineer

2012 – 2016

Worley · SNC Lavalin · Monarch Engineering

  • Delivered instrument data sheets, equipment lists, and technical documentation for Oil & Gas EPC projects — developing deep fluency in how industrial data is structured, reviewed, approved, and handed over across project lifecycles.
  • Developed expertise in SmartPlant Instrumentation (SPI) and engineering data management systems — grounding that directly informs how I evaluate and govern digital programme delivery in industrial environments.