Costas Voliotis, Product Manager in Athens, Greece
Costas Voliotis

Product Manager in Athens, Greece

Member since February 5, 2019
Costas is an innovative and decisive leader with over 25 years of contribution to technologically challenging projects in highly competitive markets. An inspirational problem solver and technologist, he has led demanding projects, supervised the full lifecycle of sophisticated product developments, and project delivery, and focused throughout on the optimization of added value, organization growth, and maximization of profitability.
Costas is now available for hire

Project Highlights

Education

Select Certifications

Employment

  • Senior Product Manager

    2019 - 2020
    Tookitaki Holdings (Singapore)
    • Defined the the roadmaps of two products (using AHA!).
    • Defined the agile sprint process.
    • Handled PRDs for two products using Confluence.
    • Compiled user stories and flow charts for each main feature.
    • Designed the web interfaces managing remote UI/UX teams.
  • Vice President of Engineering: Acquisitions and Integrations

    2018 - 2019
    ESW Capital
    • Designed the due diligence for the M&A process and engineering integration process.
    • Designed and managed the source code analysis and open source software (OSS) compliance department. Supervised the engineering due diligence for more than 40 acquisitions.
    • Designed and managed the Netsuite-Salesforce integration department. Supervised the finance integration of five companies.
    • Selected as a member of the imports department leadership team.
  • Head of Innovation

    2017 - 2018
    Exus UK
    • Managed the development and technical support of 20+ research projects (mainly HORIZON 2020) in the fields of security, big data analysis, blockchain, banking, and virtual reality.
  • R&D Director/CTO

    1999 - 2016
    Inos Hellas S.A., Member of Grenzenbach Group
    • Founded and managed the R&D branch (50+ senior engineers) in Greece.
    • Supported the expansion to North America. Supervised the installations in more than 20 automotive sites and 10 (Ford/Hyundai/Nissan/Tesla) worldwide. Handled global planning and management of R&D budget up to 10 million Euros per year.
    • Managed the implementation of the first absolute measurement system applied to the European automotive industry.
    • Managed the implementation of the first gap and flush on the motion measurement system applied to the North American automotive industry.
    • Managed the development of the company's main product, a complete inline machine vision/image processing/gauging suite, including a contemporary robot thermal compensation system (3D vision gray-scale, stereo, laser projection, fringe projection for a cloud of points).
    • Awarded Best Machine Vision Product for the year 2004 (absolute measurement).
    • Created a C++ library that offers a full metrology package (25, 2 1/2 D, 3D, mono camera, stereo camera, laser triangulation). This technology applied, initially, on the convertible car top quality inspection (Daimler, Porsche, BMW).
    • Awarded a patent for a method for calibrating a camera-laser unit in respect to a calibration object disposed at a given position and orientation in a three-dimensional space. The camera-laser-unit comprises a laser and a camera, wherein the laser and the camera are disposed of in a given distance to each other.

Project History

  • MAESTRO: A Gauging (Metrology)/Robot Guidance Suite for the Automotive Industry
    Led product design of a machine vision-based suite of products for assembly line quality assurance and robot guidance.

    AI/ML/computer vision/big data (automotive): This is a complete machine vision/image processing/3D vision-based metrology product, based on cloud-of-point processing.

    In addition, the solution includes a contemporary self-adaptive robot thermal compensation/absolute accuracy product and a standalone 3D vision-based metrology library (grayscale, stereo, laser projection, fringe projection).

    The system was installed, among others, at Fiat (Pernambuco, Brazil) and Jaguar Land Rover (UK).

  • CAFlow | A SaaS Product That Automates the Static Code Analysis and the OSS Compliance Analysis
    Designed and managed the development of a SaaS product that automates the due diligence software quality analysis.

    Secuity/ML/big data (M&A): During the due diligence of a software product or company acquisition, the technology stack and software quality and license compliance are analyzed and reported. Additionally, maintenance, risk mitigation, and refactoring costs are automatically calculated, based on a build-in big data analysis platform.

    This is a SaaS product deployed on AWS that offers technology stack analysis, third-party and OSS licenses, compliance assessment, building process analysis, and a plan for the virtualization of the product (migration to AWS cloud).

  • Anti-money Laundering Software (AMLS)
    Compiled a product PRD from scratch, defined the roadmap and sprints, and redesigned the web interface.

    AI/ML/big data (fintech): AMLS ensures maximum coverage and high alerts yield.

    Transaction monitoring: AMLS provides secondary scoring of the transaction monitoring process. The approach uses our proprietary semi-supervised technique which is based on a combination of multi-dimensional unsupervised techniques, network analysis, and supervised learning to detect complex money laundering structuring mechanisms.

    Screening: AMLS provides secondary scoring of the screening process. The approach uses our proprietary multilayered supervised techniques that combine approaches in improved matching techniques (handles typos, spelling errors, titles, prefix/suffix, etc.) and detailed analysis of secondary information obtained either from internal sources or externally available sources.

  • G-Guide: A Robot Guidance Suite for Automotive Industry Assembly Lines
    Led product design and development—G-Guide has been installed in more than 50 assembly plants (BMW, Ford, Tesla, Fiat).

    G-Guide systems provide unique, innovative solutions for every automated application, from basic de-racking operations to iterative roof panel insertions to complex phased door and closure assemblies.

    Return on investment and system value:
    • Optimize overall assembly quality and fit
    • Employ leading-edge assembly techniques
    • Reduce the number of vehicles requiring rework
    • Automate hazardous tasks
    • Reduce the manpower dedicated to assembly operations
    • Reduce the number of materials dispensed
    • Eliminate precision mechanical fixturing costs
    • Accommodate part and process variation

    $200+ million in revenue, more than 300 installations (Ford, Daimler, Audi, Daimler, Nissan, BMW, Tesla, Hyundai, Fiat, JLR, etc.)

  • Build Verification System
    Managed the design and the implementation of G-Verify: Build Verification and Validation.

    AI/ML/computer vision/ big data (automotive):G-Verify: Build Verification and Validation

    Bumper-to-bumper inspection and validation.

    Thumbs-up for production quality based on quality assurance big data analysis, Ever-increasing expectations for vehicle customization has resulted in a myriad of complex options packages and specialized features. G-Verify solutions provide objective, reliable confirmation that all of your customer’s expectations have been successfully met.

    G-Verify can be configured to work in any area of an industrial production facility:
    • Bodyshop, paint shop, final assembly, moving line, stop-station
    • Utilize various sensor resolutions, standoffs, illumination styles, color or gray-scale, NIR, LED, fluorescent, algorithm types, and much more to personalize a robust and reliable solution. Highly flexible, the G-Verify solution can be easily integrated into your existing production lines.

    G-Verify systems offer economical and effective solutions for frame manufacturers—automatically check hundreds of holes and slots in a matter of seconds.

  • Shared Anti-money Laundering Typologies Framework
    Defined a product roadmap and features, designed the web interface, and planned agile sprints and progress dashboards.

    AI/ML/big data (fintech): Tookitakis' Shared Typologie Framework is an innovative machine learning/AI approach anti-money laundering technology. A universal cloud-based repository of anti-money laundering patterns (typologies) is automatically detected or manually compiled. It provides the ability to analyze patterns of AML criminality detected by the third party without violating PII regulations, using a data model-agnostic glass box approach. The framework mitigates the risk implied by new ML techniques.

    Tech stack: AWS, Scala, Python, React

Education

  • Doctorate in Distributed Programming and Artificial Intelligence
    1991 - 1995
    National Technical University of Athens Greece - Athens Greece
  • Master's degree in Computer Science
    1985 - 1990
    National Technical University Of Athens Greece - Athens Greece

Certifications

  • Introduction to Innovation and Entrepreneurship
    MAY 2019 - PRESENT
    Stanford University
  • From Idea to Startup
    MARCH 2019 - PRESENT
    Technion - Israel Institute of Technology
  • Create a Go-to-market Plan
    MARCH 2019 - PRESENT
    LinkedIn
  • Product Management: Building a Product Roadmap
    MARCH 2019 - PRESENT
    LinkedIn
  • Creating a Business Plan
    FEBRUARY 2019 - PRESENT
    LinkedIn
  • Entrepreneurship: Raising Startup Capital
    FEBRUARY 2019 - PRESENT
    LinkedIn
  • Design Thinking
    OCTOBER 2018 - PRESENT
    Design Thinking Academy
  • Managing the Company of the Future
    FEBRUARY 2017 - PRESENT
    London Business School

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