Maxim Khalilov

CEO

Barcelona, Catalonia, Spain24 yrs 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 15+ years in AI and Data Science leadership.
  • PhD in Statistical Machine Translation.
  • Published over 40 research papers.
Stackforce AI infers this person is a Data Science and AI expert with extensive experience in machine learning and natural language processing.

Contact

Skills

Core Skills

Data SciencePredictive AnalyticsData Science LeadershipBusiness StrategyMachine LearningPlatform ManagementApplied AiNlpData Science Product ManagementData AnalysisProduct MarketingInnovationMachine TranslationStrategy DevelopmentTechnology EvaluationData PreparationMachine Translation StrategyCollaborationMachine Learning TechniquesResearch PublicationMachine Translation ModelsResearch ProjectsEnergy Market AnalysisSoftware DevelopmentMarket Research

Other Skills

A/B TestingAI EngineeringAlgorithmsAnalysisBest Practices DevelopmentCC++Computational LinguisticsConsultation ServicesData MiningDatabasesDemand ForecastingGenAIHTMLInformation Extraction

About

AI & Data Science Executive with 15+ years of experience in machine learning, natural language processing (NLP), MLOps, and enterprise AI solutions. Proven track record in building and scaling data science teams, leading digital transformation, and delivering AI-driven products that optimize global operations. Currently Director of Data Science at PepsiCo, leading demand forecasting, predictive analytics, and supply chain optimization. Previous leadership roles at Glovo, Unbabel, Booking.com, and as CTO in machine translation and NLP. PhD in Statistical Machine Translation and MBA from IE Business School. Expertise in AI strategy, applied research, cloud platforms (AWS, Azure, Databricks), Python, SQL, and advanced analytics. Published 40+ papers.

Experience

Pepsico

Director of Data Science

Oct 2022Present · 3 yrs 5 mos · Barcelona, Catalonia, Spain

  • Developing the data-driven forecasting platform for PepsiCo. It's applied in various use cases across the company including product distribution networks in multiple markets across Europe, Asia, and North America. In particular, I am responsible for the following tasks:
  • Setting the technical direction and defining the vision for the Build department, which is focused on the development of reusable elements of the forecasting engine and data science tools
  • Setting goals, leading, and managing teams responsible for developing analytical components in support of PepsiCo's Integrated Business Planning initiative
  • Promoting and implementing Data Science practices across all aspects of our innovation portfolio and fostering a culture shift to embrace analytics in our business engagements
  • Identifying, outlining, and prioritizing the strategic initiatives and projects necessary to achieve the project objectives
  • Communicating results, status, and future plans, while also maintaining relationships with senior management, key stakeholders, partners, and internal clients
Data SciencePredictive AnalyticsDemand ForecastingSupply Chain Optimization

Glovo

2 roles

Head of Data Science

Promoted

Mar 2021Oct 2022 · 1 yr 7 mos · Barcelona, Catalonia, Spain

  • My main area of ownership is data science leadership and supervision, I do it by identifying key business risks and realizing the data asset needs of the business. I also create new data sciences capabilities for envisioning and executing business strategies and build the data science talent at Glovo through role definition, recruitment, mentorship, and structure supporting company growth.
Data Science LeadershipBusiness StrategyTalent Development

Engineering Manager - Machine Learning Platform

Apr 2020Sep 2021 · 1 yr 5 mos · Barcelona, Catalonia, Spain

  • I managed the ML Platform, which empowers product at Glovo to achieve as much as possible with Machine Learning. We do it by developing and maintaining processes, tools and teams that guarantee the reliability, scalability and security of all Machine Learning products.
Machine LearningPlatform ManagementReliability Engineering

Unbabel

Director of Applied Artificial Intelligence

Jul 2018Apr 2020 · 1 yr 9 mos · Lisboa, Lisbon, Portugal

  • Recruit, coach, mentor and develop a team of 10+ AI engineers with experience in applied NLP research
  • Set a vision for application of machine learning products at Unbabel
  • Ensure the quality of the machine learning platform in production: establish and monitor KPIs, develop best practices and keep an eye on the state of the art
  • Set the roadmap in partnership with other team and leadership
  • Lead long term investments in machine learning
  • Develop presentations and technical discussions to evangelize AI within Unbabel and beyond
Applied AINLPTeam Development

Booking.com

2 roles

Product Owner - Data Science

Jan 2018Jul 2018 · 6 mos · The Randstad, Netherlands

  • As a front-end product owner I created and optimized data science products for Booking.com users. Specifically
  • I understood customer requirements want through data analysis and research and translated them into product goals, business objectives and together with the team into technical specifications and user stories.
  • I formulated hypotheses from customer needs and work towards validating those through data driven methdologies (A/B testing, post-hoc analysis, etc).
  • I took ownership & accountability of the products that I owned, prioritized new improvements, and worked together with my team to create a product roadmap.
Data Science Product ManagementData AnalysisA/B Testing

Product Marketing Manager

Mar 2016Dec 2017 · 1 yr 9 mos · The Randstad, Netherlands

  • I was a bridge between operations, product and stakeholders focusing on innovation and optimization of technologies and processes. I used my experience in research, technology development and management to improve customer experience and drive revenue growth.
  • In particular, my main tasks are:
  • Work on key product roadmaps, finding and testing improvements to maximize their commercial impact
  • Innovate on commercial opportunities focusing on the scalability of tooling, processes and features used by partners and stakeholders
  • Own, prioritize and brief for projects related to the optimization and automation of translation and localization, including various applications of machine translation
  • Create and communicate OKRs for commercial team
  • Liaise with product owners, data scientists, key company stakeholders and academia to accelerate innovation of company business model
  • Track relevant industry changes and formulate what this means for the company
Product MarketingInnovationOptimization

Matrix communications gmbh

Machine Translation Lead

Jul 2015Jan 2016 · 6 mos · Greater Munich Metropolitan Area

  • Transferred from bmmt GmbH to the parent company (Matrix Communications GmbH).
  • Responsible for driving the Matrix Communications and beo-doc machine translation technology vision, strategy, innovation and digital product delivery.
  • Building customizable machine translation engines and a robust set of tools to disrupt level of translation services to the next level and increase engagement and retention of machine translation tools.
  • Communicate with stakeholders to gather requirements, develop, review and execute strategies to deploy machine translation solutions for Matrix Communications and beo-docs.
  • In charge of the development and operations of the platform and apps for the machine translation online services.
  • Building and maintaining relations with business & industry partners.
Machine TranslationStrategy DevelopmentStakeholder Communication

Bmmt

CTO

Feb 2014Jun 2015 · 1 yr 4 mos · Greater Munich Metropolitan Area

  • Create, optimize, maintain and evaluate machine translation engines. Execute machine translation jobs and provide integration with CAT tools and IT services.
  • Collect, consolidate, prepare data for machine translation. Post-process the output.
  • Evaluate new technologies, provision consultation services for clients and internal company needs.
  • Develop, review and execute marketing strategies and represent company at conferences and other events.
  • Cooperate with translators and post-editors in the collection of best practices and creation of post-editing guidelines for machine translated content.
Machine TranslationTechnology EvaluationMarketing Strategy

Taus (translation automation user society)

Research & Development

Jun 2011Jan 2014 · 2 yrs 7 mos · Amsterdam (Netherlands)

  • Review, refine and develop the strategy of O/S machine translation direction in collaboration with the translation buyers and vendors.
  • Coordinate technology-oriented university-industry collaborative projects.
  • Responsible for the identification and development of best practices across the business in a range of translation instruments.
  • Product manager for experimental and testing ground for industrial pilot MT projects.
  • Participate in two European projects in the area of language technologies and represent the company at project annual reviews.
  • Provide technical and strategy consulting services to the TAUS member organizations.
Machine TranslationData PreparationConsultation Services

Institute for logic, language and computation at the university of amsterdam

Post-doctoral researcher

Aug 2009May 2011 · 1 yr 9 mos · Amsterdam (Netherlands)

  • Developed an approach for learning source string permutation via transfer of the source syntax tree using machine learning techniques.
  • Implemented and evaluated a tree-based word reordering system, performing source string permutation prior to statistical machine translation.
  • Published the results of the work in highly ranked conferences and in Cambridge Journal of Natural Language Engineering.
Machine Translation StrategyCollaborationBest Practices Development

Universitat politècnica de catalunya

Research Assistant/PhD student

Jun 2005Oct 2009 · 4 yrs 4 mos · Barcelona (Spain)

  • Developed an approach to enhance classical machine translation models, introducing syntactic knowledge. Implemented and evaluated the system based on this approach.
  • Implemented a continuous-space language model presented in the form of a neural network and evaluated the language model as a part of a machine translation system.
  • Studied the power and limitations of statistical and syntax-based machine translation.
  • Contributed to a number of multi-institutional European and National research projects.
Machine Learning TechniquesResearch Publication

University of coimbra

Research Assistant

Apr 2003May 2005 · 2 yrs 1 mo · Coimbra (Portugal)

  • Participated in the European project dedicated to the assessment of efficiency of fuel cell energy services.
  • Established a methodology to monitor sustainable energy market analysis of fuel cell installations. Developed the cost-benefit analysis software from scratch.
  • Conducted comparative analysis of energy services options for European countries.
Machine Translation ModelsResearch Projects

Commercial research institute “protective devices and insulators"

Marketing manager

Apr 2001Feb 2003 · 1 yr 10 mos · St.Petersburg (Russia)

  • Produced market research reports on company products and Russian energy market.
  • Collected market data and evaluated information from diverse energy market sources.
  • Analyzed qualitative & quantitative information to support and review new and existing marketing and sales strategies.
Energy Market AnalysisSoftware Development

Investment company “pabl”

FOREX trader

Oct 1998Feb 1999 · 4 mos · St.Petersburg (Russia)

  • Responsible for FOREX trading and system analysis.
  • Provided assistance on an ongoing basis to the sales group.
  • Developed and tested a novel financial indicator based on neural networks.
Market ResearchData Analysis

Education

IE Business School

Global MBA

Jan 2015Jan 2016

Universitat Politècnica de Catalunya

PhD — Computer Science: statistical machine translation

Jan 2005Jan 2009

Macquarie University

Intern — Computer Science

Jan 2007Jan 2007

Peter the Great St.Petersburg Polytechnic University

Economist-manager — Stock market

Jan 1999Jan 2002

Peter the Great St.Petersburg Polytechnic University

MCS — Computer Science

Jan 1997Jan 2002

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