Soumyendu Sarkar
ML EngineerSenior Director & Senior Distinguished Technologist of Artificial Intelligence, HP Labs at Hewlett Packard Enterprise, Leading ML Research
Hewlett Packard Enterprise
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Senior Director & Senior Distinguished Technologist of Artificial Intelligence, HP Labs at Hewlett Packard Enterprise, Leading ML Research
I lead ML research at HPE Labs @ Hewlett Packard Enterprise, leading a second-level ML research organization that turns frontier AI into real systems impact. I architect AI solutions for the world’s most complex physical challenges. As the Chief ML Architect at HPE Labs, I lead a multi-tiered research team dedicated to pushing the boundaries of what is possible with Machine Learning. My focus is not just on incremental gains but on fundamental transformations in high-stakes domains: from achieving holistic Data Center optimization at scale to pioneering the application of ML in Nuclear Fusion and Wave Energy, which have been widely published at top AI conferences such as NeurIPS and AAAI in recent years. https://www.sarkar.org I operate at the intersection of deep technical innovation and corporate scale. My work involves: Executive Leadership & Strategy Beyond the lab, I serve as a leader steering HPE’s global AI strategy. I manage complex collaborations, drive M&A technical due diligence, and guide startup investments. I act as a bridge between high-level customer needs and our long-term technology roadmap, ensuring that HPE remains at the vanguard of the ML ecosystem. Research with Impact I believe that the best research should solve real-world problems while advancing the state of the art. I serve as the Principal Investigator (PI) for major government-funded projects in Nuclear Fusion and represent HPE as the PI for the AI Safety Institute Consortium (AISIC) at NIST. My team and I also execute EU funded research projects, and regularly publish at top-tier conferences, including NeurIPS and AAAI, where I take an active and lead role in ideating and architecting the core solutions. From Concept to Millions Shipped My track record is rooted in execution. I have moved numerous products from initial concept to global release, shipping solutions on server, mo
Stanford University Graduate School of Business
Stanford LEAD Program, Business Administration and Management, General
January 1, 2026 – January 1, 2027
Stanford University
Professional Certificate Program (5 Graduate Level Courses), Artificial Intelligence
January 1, 2019 – January 1, 2021
University of California, Berkeley
Certificate Program in Data Science (on campus)
January 1, 2017 – January 1, 2018
Caltech
Machine Learning (via CaltechX)
January 1, 2016 – January 1, 2016
University of California, Berkeley
Data Science and Engineering with Spark, UC Berkeley Xseries (3 course certificate)
January 1, 2016 – January 1, 2016
Cornell University
Executive Leadership Certificate
N/A – Present
Indian Institute of Technology, Madras
Master of Technology, Electrical Engineering
N/A – Present
Jadavpur University
Bachelor of Engineering, Electrical Engineering
N/A – Present
Penn State Great Valley
Computer Systems Networking and Telecommunications
N/A – Present
Hewlett Packard Enterprise
Senior Director & Senior Distinguished Technologist (Executive) of Artificial Intelligence, HPE Labs
October 1, 2017 – Present
San Francisco Bay Area · On-site
Visaze
Founder
August 1, 2015 – September 1, 2017
San Francisco Bay Area
Intel Corporation
Senior Software Engineering Manager, Computer Vision
April 1, 2012 – July 1, 2015
Santa Clara, CA
LSI, an Avago Technologies Company
Distinguished MTS
January 1, 2008 – March 1, 2012
Allentown, Pennsylvania Area
Lucent Technologies Bell Labs innovations
Distinguished Member of Technical Staff - Bell Laboratories
January 1, 2002 – January 1, 2007
Lucent Technologies Bell Labs innovations
Distinguished MTS - Bell Laboratories
January 1, 1996 – January 1, 2002
AT&T Bell Laboratories
Distinguished MTS
January 1, 1996 – January 1, 2002
Middletown / Holmdel, New Jersey
Data Science and Engineering with Spark, UC Berkeley Xseries
University of California, Berkeley
June 24, 2026 – Present
Introduction to Apache Spark, UC Berkeley CS105x
University of California, Berkeley
June 24, 2026 – Present
Data Manipulation at Scale: Systems and Algorithms, University of Washington
Coursera Course Certificates
June 24, 2026 – Present
Tackling the Challenges of Big Data, MIT
MIT Professional Education
June 24, 2026 – Present
Distributed Machine Learning with Apache Spark, UC Berkeley CS 120x
University of California, Berkeley
June 24, 2026 – Present
Image and video processing: From Mars to Hollywood with a stop at the hospital, Duke University
Coursera Course Certificates
June 24, 2026 – Present
Executive Data Science Specialization, Johns Hopkins University (5 course certification)
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox, Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Learning From Data (Machine Learning) CS1156x, California Institute of Technology
Caltech
June 24, 2026 – Present
Big Data Analysis with Apache Spark, UC Berkeley CS110x
University of California, Berkeley
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across large enterprises (HPE, Intel, Lucent) and a startup (Visaze) indicates adaptability and a broad understanding of different organizational cultures. Their continuous pursuit of advanced education and certifications in cutting-edge AI/ML topics demonstrates a strong growth mindset and commitment to staying current, which aligns well with innovative and research-driven environments. The leadership roles and involvement in strategic initiatives suggest a strong cultural fit for roles requiring vision, mentorship, and cross-functional collaboration.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and strategic planning skills through their extensive experience in senior director and distinguished technologist roles. Their ability to build teams and drive innovation suggests a proactive and results-oriented operational fit. Experience with global teams and managing product lifecycles indicates strong project management and collaboration capabilities.