Souvik Sen

Co-Founder

San Francisco, California, United States18 yrs 4 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Invented EmaFusion, a groundbreaking AI workflow engine.
  • Led teams of over 200 across multiple continents.
  • Authored nearly 30 peer-reviewed publications.
Stackforce AI infers this person is a leader in AI and Machine Learning for enterprise-scale solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningWireless Networking

Other Skills

AlgorithmsAnalyticsBig DataCC++Cloud ComputingComputer ScienceData AnalysisData MiningData platformsDistributed SystemsExecutive LeadershipImage ProcessingIndoor LocalizationInterdisciplinary Collaboration

About

I’m an engineering leader with a track record of turning deep ambiguity—technical, organizational, and product—into large-scale, durable systems. I thrive in environments where the stakes are high, the problems are open-ended, and the path forward requires first-principles thinking. My background spans data platforms, machine learning, privacy, security, identity, trust, devices, large-scale location systems, networking, and wireless infrastructure. I enjoy building teams and technologies that operate at global scale, and I’m most energized when working on ambitious, multi-year bets that require both architectural clarity and cross-functional alignment. Over my career, I’ve incubated and led products and platforms used by billions of people and driving significant revenue impact. I’ve also remained active in technical thought leadership—authoring nearly 30 peer-reviewed publications and holding 37+ patents. What motivates me most is building foundational technology with meaningful real-world impact—systems that redefine how people and enterprises work.

Experience

Ema

Co-Founder and CTO

Mar 2023Present · 3 yrs · San Francisco Bay Area · On-site

  • At Ema, I’m building toward a Universal AI Employee—an agentic AI platform that works alongside humans to automate repetitive work and unlock more strategic, creative work.
  • In the first 2.5 years I helped build:
  • Agentic systems that emulate core enterprise functions
  • Integration infrastructure connecting AI agents to SaaS, data, and internal systems
  • A Generative Workflow Engine that turns business processes into a production-ready agent mesh
  • Agentic experiences across voice, chat, dashboards, docs, and slides
  • As the platform matured, I shifted to leading Solutions & Customer Success, working with enterprises in Finance, Customer Support, Employee Experience, Healthcare, and Sales to deploy AI Employees that drive measurable outcomes.
  • Highlights:
  • Invented EmaFusion, the Generative Workflow Engine, Agentic AI Clinic, and a new value-engineering approach
  • Hired and led 200+ people across 3 continents
  • Helped scale revenue to well north of 8 figures
Artificial Intelligence (AI)Machine LearningCloud ComputingData MiningInterdisciplinary Collaboration

Career break

Personal goal pursuit

Jan 2023Mar 2023 · 2 mos

Okta

Vice President, Engineering

Nov 2021Jan 2023 · 1 yr 2 mos · San Francisco Bay Area

  • Led an organization of 150+ amazing people on four areas of investments:
  • Data: Platforms for Okta, Insights and Reports, Product Telemetry
  • Machine Learning: Platforms for Okta, Models for security
  • Security products: Threat Insights, Risk based authentication, Risk engine, Continuous authentication
  • Devices platform and products: Client software platforms, Fastpass, Signal integration network, identity SDKs.
Machine LearningSecurity productsData platforms

Google

3 roles

Engineering Lead: Data and ML, Privacy and Safety

Promoted

Apr 2020Nov 2021 · 1 yr 7 mos

  • Initiated, incubated and led initiatives spanning 100+ engineers at Google:
  • TrustGraph: Google-wide initiative to build real-time knowledge graph for Privacy, Safety and Identity. Possibly the largest scale Graph ML on planet earth (>XXXB nodes).
  • Machine Learning for Ads Privacy and Safety. My team was responsible for eliminating invalid traffic from all of Google Ads (e.g., Maps, Gmail, Youtube, Search, Display, DV360 etc). One of the largest and most complex online neural network deployments -- processing 1T events/day within <Xms latency, with no ground truth and per-event explainability!
  • Built teams, platforms, solutions from scratch and scaled to internet scale, resulting into >XYB impact to Google's business.
  • Transformed Orgs from no existence of ML to 150+ deep ML experts.
Machine LearningPrivacySafety

Senior Staff Software Engineer

Promoted

Nov 2017Apr 2020 · 2 yrs 5 mos

  • Head of Machine Learning, Ads Traffic Quality.
  • Led a paradigm shift and complete rewrite of traffic quality systems across all of Google Ads (including Search, YouTube, Doubleclick, Android, Display) using modern ML — online multi-modal neural networks, graph mining and weak supervision.
Machine LearningTraffic Quality Systems

Staff Software Engineer

Aug 2015Nov 2017 · 2 yrs 3 mos

  • Led location related technologies in Android and Google Maps.
  • Semantic location using machine learning: Where people are, what are they doing. Helped scale from inception to applications across Google Ads, Search, Payments, Maps and across 1.5B users.
  • Raw location and orientation: Battery efficient and accurate fused location/orientation for Android and Google Maps.
Location TechnologiesMachine Learning

Hewlett-packard laboratories

3 roles

Principal Research Scientist

Promoted

Jan 2015Jul 2015 · 6 mos

  • I am part of the Seamless Mobility group at the Networking and Mobility Laboratory at HP Labs. At HPL, I work on a few broad areas - wireless connectivity, indoor localization, mobile sensing and cloud based mobile data analytics.
  • At HP, I am the creator of HP Location Aware. HP Location Aware is the first indoor positioning system that does not require any additional hardware, or expensive periodic on-site calibration but can still find the location of any WiFi-enabled mobile device within 1 meter. More information at:
  • HPL blog: http://h30507.www3.hp.com/t5/Innovation-HP-Labs/HP-Location-Aware-featuring-HP-Labs-indoor-location-technology/ba-p/157850#.VC3EmfldV6M
  • Press release: http://www8.hp.com/us/en/hp-news/press-release.html?id=1608266#.VC8Ts_ldV6M
  • HP front page coverage: http://public.hpnn.hp.com/Articles/2014/Oct/An-inside-job.aspx#.VC3DtirV6HM.mailto
  • HPL Video: https://www.youtube.com/watch?v=R3xGz1R__oI
  • I have also the co-creator of HP Smart Shopper, a location based retail analytics platform:
  • Video: https://www.youtube.com/watch?v=AgWlt0XPufk
  • Web: http://www8.hp.com/h20195/v2/GetDocument.aspx?docname=4AA5-2870EEW
Wireless ConnectivityIndoor LocalizationWireless Networking

Senior Research Scientist

Jan 2014Jan 2015 · 1 yr

Research Scientist

Aug 2012Jan 2014 · 1 yr 5 mos

Microsoft research, cambridge

Research Intern

Jun 2010Aug 2010 · 2 mos

Wireless NetworkingMobile Computing

Duke university

Research Assistant

Jan 2008Aug 2012 · 4 yrs 7 mos

  • Wireless Networking and Mobile Computing

Hewlett packard procurve

Systems Engineer

Aug 2007Dec 2007 · 4 mos

  • I developed a software only platform for automatic real-time monitoring and root-cause identification for large enterprise and ISP networks.

Education

Duke University

PhD — Computer Science

Jan 2008Jan 2012

IIEST, Shibpur

BE — Computer Engineering

Jan 2003Jan 2007

St. Lawrence High School

Jan 1993Jan 2003

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