D

Devesh Raj

CEO

Bengaluru, Karnataka, India18 yrs 1 mo experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led AI teams in Fortune 100 companies.
  • Established AI Centers of Excellence.
  • Authored papers and filed patents in ML and DL.
Stackforce AI infers this person is a leader in AI and Machine Learning across multiple industries.

Contact

Skills

Core Skills

Ai LeadershipApplied Machine Learning

Other Skills

Deep LearningBayesian Belief NetworksGraph Machine LearningCross-functional Team LeadershipGenerative AIRecommender SystemsBayesian NetworksForecastingOptimizationComputer VisionNatural Language ProcessingPredictive ModelingPythonTensor FlowStatistics

About

Devesh is a seasoned leader in the field of AI & Machine Learning. He has built and led world class teams in both developing cutting edge research and building AI/ML products and solutions. Additionally, he has been an AI/ML mentor at NASSCOM for startups. Awarded “Most Influential AI & Data Analytics Professional-2024" - LEADERSHIP: Led AI/ML teams in Fortune 100 companies, solving complex problems across Healthcare, Manufacturing, Automotive, Energy, FMCG, and Finance. - GLOBAL IMPACT: Developed AI products for markets in the US, EU, SE Asia, and Africa. - TEAM BUILDING: Established AI Centers of Excellence for two GCCs, recruiting and mentoring top talent. - MENTORSHIP: AI/ML mentor at NASSCOM, Springboard, AI World Congress; frequent public speaker and panelist. - PUBLICATIONS: Authored papers in IEEE, AJCT, and filed 4 patents in ML and DL. - INNOVATION: Set up capabilities in personalization, causal inference, experimentation, graph ML, Gen AI and AI Ethics & Responsible AI. - INTERNATIONAL COLLABORATION: Established strong collaboration with Germany and US R&D centers, cutting across engineering, sciences/labs, product management, user design, and other cross-functional groups. - DIVERSE EXPERIENCE: Lived and worked in Switzerland, Germany, Japan; currently based in Bangalore.

Experience

18 yrs 1 mo
Total Experience
3 yrs
Average Tenure
4 yrs 3 mos
Current Experience

Fidelity investments

2 roles

Vice President- AI CoE

Promoted

Sep 2024Present · 1 yr 8 mos

Director - AI CoE

Feb 2022Sep 2024 · 2 yrs 7 mos

  • Leading the Centre of Excellence in Applied AI & Gen AI driving high impact AI strategy and execution.
  • Partner with Product and Business Leaders to define and deliver AI-first roadmaps, advancing core priorities such as Hyper Personalization , Next Best Action and leverage fine tuning and deploying LLMs( Generative AI) solutions for measurable business outcomes.
  • Built production grade models including LLMs, Recommendation systems, causal inference frameworks and AI products that unlocked value of XXX ( last year)
  • Hiring, growing and mentoring Data Scientists
Deep LearningBayesian Belief NetworksApplied Machine LearningAI LeadershipGraph Machine LearningCross-functional Team Leadership+2

Unilever

Global Leader-AI & Data Science CoE

Nov 2018Apr 2022 · 3 yrs 5 mos

  • Founding member of the Global AI CoE for Unilever. Built & led a team of Applied Data Scientists and DS Researchers spread geographically - UK, India, Singapore.
  • Ideating, solving Machine Learning, Deep Learning problems– from concept to productization for geographical markets across Unilever
  • Created a new data science product which understands the growth drivers for sales, how they interact and stack up structurally using Bayesian Networks (DAGs) and then use them for Forecasting ,simulation & optimization of scenarios. Deployed in 12 markets ; incremental revenue gains of X% (Patent filed)
  • Smart Factory Automation using AI – Industrial Computer Vision, Natural Language Processing (NLP) saving operational costs and improving efficiency
  • NLP in E-commerce – Built an intelligent NLP product which can identify and rank emerging trends from search data on e-commerce platforms helping brands in identifying innovation/ renovation opportunities.
  • Repurposed BERT for FMCG, thereby making it available for other NLP applications within the company.
  • People: build and nurture a global team of high calibre data scientists and researchers
  • Go-to person for Data Science within the company for Thought Leadership, AI product conceptualisation, DS evangelisation, AI Ethics
AI Leadership

Mercedes-benz research and development india

Data Science & AI Leader

Oct 2016Nov 2018 · 2 yrs 1 mo · Germany/India

  • Integral leader that built the Data Science team in India, established strong collaboration with Germany and US R&D centres cutting across engineering, sciences/labs, product management, user design and other cross-functional groups
  • Data Science Leader solving use cases for multiple BUs of Mercedes
  • Foundational member for Innovations like AI, Blockchain, Quantum Computing in the firm
  • PROJECTS:
  • Formula 1- Built a Computer vision Solution to predict competitor car’s behaviour, aiding driver’s decisions
  • Applied NLP to minimize errors from Control units in Pre-series production phase by learning features from free flowing textual input by mechanics. In the process, built Word Vectors for Automotive domain which was used company wide.
  • Deep Learning (CNN) solution on images to classify degradation in components of a vehicle preventing further propagation
  • Built predictive maintenance solution to avoid downtime of trucks , deployed in Western Europe, increased the uptime
  • Built a music recommendation engine for next generation intelligent head units using a mixture of unsupervised and supervised learning techniques
  • Built an AI enabled navigation system for Daimler vehicles (Patent pending)
AI Leadership

Royal philips

Research Data Scientist

Nov 2015Oct 2016 · 11 mos · PIC,Bangalore

  • Developed ML algorithms and packaged it into Philips AI platform which powered multiple business verticals. Mentor for Data Scientists.
  • PROJECTS:
  • Accomplished enhanced customer engagement and precision targeting by building an attrition prediction framework
  • Developed Solution to predict sleeping pattern of children and identify factors influencing them

Bosch

Sr. Data Scientist-Machine Learning & Advanced Analytics -CoE

Jun 2011Oct 2015 · 4 yrs 4 mos · Germany/India

  • Solved varied, high valued business problems for multiple Bosch geographies across Production, manufacturing, agriculture, healthcare, energy using supervised & unsupervised ML techniques.
  • PROJECTS:
  • Reduced the Production steps in plants using machine learning saving XXmil. + Euros
  • Calibration of equipments minimizing process time and steps, using Machine learning
  • Applied Machine Learning to solve Healthcare usecases
  • Used Clustering techniques to determine the replacement for failed engine components

Mitsubishi-l&t ( left because of tsunami in japan,2011)

Assistant Manager-Advanced Analytics

Feb 2011May 2011 · 3 mos · Japan-left because of tsunami in 2011

  • Developed a Predictive maintenance solution for boiler, reduced plant downtime by XX%
  • Created a data science solution for optimizing the bidding price for purchasing power for Mitsubishi factories resulting in XX% savings

Infosys

Statistical Analyst & Advanced Data Analyst

Oct 2007Jan 2011 · 3 yrs 3 mos · India | Switzerland

  • Statistical and Data analysis for crucial data insights
  • Product Design and development
  • Handling crucial projects from Switzerland and acting as an interface between client (Alstom Power)
  • and offshore team

Education

Indian Institute of Technology Hyderabad

MTech — Computer Science-Major -Data Science

Wharton Executive Education

Executive Leadership

BIT

BTech

DPS

De Nobili

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