Bhaskar Dutta

CEO

San Jose, California, United States20 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built multiple AI platforms generating over $300M revenue.
  • Influenced C-level executives on Data & AI strategies.
  • Led global teams in productizing AI/ML solutions.
Stackforce AI infers this person is a Cybersecurity and Big Data expert with extensive experience in AI product management.

Contact

Skills

Core Skills

Ai/mlDataopsProduct ManagementNetwork SecurityData GovernanceBig Data AnalyticsCybersecurityTeam LeadershipBusiness AnalysisTechnical LeadershipEnterprise ArchitectureEngineering ManagementBig DataProduct DevelopmentTelecommunications

Other Skills

AI agentsAI productsAI/ML platformAgile MethodologiesAnomaly DetectionC++Cloud ComputingCustomer EngagementCyber DefenseDeveloping New MarketsGenAIGlobal Cross-Functional Team LeadershipGo-to-Market StrategyKubernetesLeadership

About

My superpower is building 0-1 Data & AI platforms for data, network and security analysts. I don't just dream, I execute. Also, I have failed, a lot. Since 2010, I have created & scaled Data & AI platforms for enterprises, defense and carriers, generating 300M+ revenue. My experience influencing CIO/CISO/CDO on Data & AI strategy spans over 15 years across multiple industries in NORAM, LATAM, APAC, MEA. ✔️ I built Canopus SEER, a real time observability platform powered by Agentic AI and eBPF ✔️ I founded FlowPulse.AI, Agentic AI for cloud runtime security ✔️ I created the first interactive ML/AI threat hunting platform in 2017 for MSSPs at Thales ✔️ I built as founding engineer the first big data ML platform for CSPs in 2010 at Guavus. 100's of developers built ML apps on it ✔️ I created a no-code AI App Fabric in 2019 for business-users to ideate AI apps in days instead of months I have also built (as the founding engineer): - a fully-managed Linux OS - carrier-grade Hadoop & Spark - Distributed Data warehouse (10 B+/day) - distributed Real-time Ingestion tool (3M+ events/sec) I have spent significant part of my career in high growth early stage startups, and I thrive in extreme ambiguity. my super power is influencing internal stakeholders and customers equally, leading from within. I am equally comfortable designing strategy with C-level executives, grooming a backlog with engineers, and discovering customer pain points through deep interactions. I have led global teams of product managers, data scientists & engineers responsible for productization of AI/ML products and big data platforms. I have unparalleled experience in driving data/analytics/ML/security platform strategies and implementing them through 100+ size global teams. I take great pride in driving products from inception to execution to sustenance. In a previous life (2000-2010), I was a linux/C/VoIP geek hacking the linux kernel, writing high performance networking apps, implementing dozens of RFCs. I was deep into FOSS evangelism since 2000. I believe in converting ideas into reality, finishing what I started, leading from within. The following quote from Steve Jobs summarizes what I strive for in a professional environment. “Your time is limited, so don’t waste it living someone else’s life. Don’t be trapped by dogma – which is living with the results of other people’s thinking. Don’t let the noise of others’ opinions drown out your own inner voice. And most important, have the courage to follow your heart and intuition.”

Experience

Prophecy

AI Product Management

Oct 2025Present · 5 mos · San Francisco Bay Area

  • Building AI agents that combines:
  • > the creativity of a conversational interface,
  • > the precision of a compiler,
  • > the governance of enterprise data engineering, and
  • > the cloud-scale execution of the lakehouse
  • Prophecy.ai is the first platform to unify AI agents + governed data engineering + cloud execution into a single AI-native DataOps platform.
  • From migration to transformation to analysis to insight generation, Prophecy’s AI agents create real, production-grade data pipelines, models, and apps, not SQL fragments or gimmicks or inconsistent hallucinated responses.
  • Business users talk to their data and derive insights through conversations. Data Engineers get lineage, Git, code, and full control. Best of both worlds.
  • Everything runs natively on your cloud lakehouse, with no lock-in and complete governance.
AI agentsdata engineeringcloud executionAI/MLDataOps

Canopus

Chief Product Officer

Jan 2024Sep 2025 · 1 yr 8 mos · San Francisco Bay Area · On-site

  • At Canopus, I led product, marketing and partnerships.
  • Canopus Agentic AI Platform for Network Observability and Security (powered by eBPF) runs on SuperNetflow, the future of real time network telemetry.
  • Canopus is the creator of SuperNetflow and FlowPulse eBPF sensors that create the frontier real-time data to fuel the future of network and security observability. We have 8 patents and 30+ peer-reviewed papers in this area.
  • SuperNetflow is ultra-high fidelity real-time network intelligence for enterprises and carriers that enables highly accurate business decisioning using any AI models. SuperNetflow benefits all operations teams (security, network, service, customer, marketing) by providing highly contextualized, real-time experience and observability and security metrics at a per user, per application level.
  • Our patented technology is a swarm of distributed network intelligence eBPF sensors that are built for next generation cloud-native networks. We eliminate the need for legacy hardware network probes and full-scale deployments, instead allowing elastic sensors to be deployed on-demand at a fraction of the cost to capture network intelligence for experience, visibility and security that integrates with analytics, observability and security platforms through OpenTelemetry, CEF and IPFIX standards.
  • I am always hiring rockstars! If you think you can make a real difference, write me a personal note on how and why.
product managementnetwork observabilitysecurityProduct ManagementNetwork Security

Ligadata

Head of Product Management

Jan 2023Jan 2024 · 1 yr · San Francisco Bay Area · On-site

  • As global head of product management, I was responsible for 0-1-scale product strategy and execution of all products lines for Telecom, Fintech and Banking industries, partnering with Google Cloud, Azure, AWS and FICO.
  • I was responsible for Ligadata's entire suite of products: Hybrid-multi-cloud Data Fabric, Data Lakehouse, Applied-AI Apps and Data Governance, and bringing them to market across Middle-East and Africa region and expanding to new geographies in Asia and LATAM.
  • I led the 0-1 conceptualization of Telco AI Apps in Marketing, Customer 360, Digital Services, Fintech Services, Revenue Assurance, Network Operations, 5G Services and bringing them to life.
  • Ligadata's enables 100's of business use cases across Telco, Fintech and Banking through real-time APIs that can be seamlessly integrated with existing technologies to build solutions rapidly across on-premise and hybrid multi-cloud environments (GCP, AWS, Azure).
  • LigaData is deployed across 30+ CSPs in the MEA region ingesting 2500+ data sources @ 25TB/day and supports over 800 deployed use cases through real-time APIs for Revenue Assurance, Subscriber Insights, Digital Services, Fintech Services, Channels (Self-service, Customer-Care), Compliance and Regulatory, Law Enforcement, Marketing analytics, AI/ML, Data Monetization.
product strategydata governancecloudProduct ManagementData Governance

Thales

2 roles

Head of Product Management

Promoted

Oct 2021Nov 2022 · 1 yr 1 mo · San Francisco Bay Area

  • Guavus was acquired by Thales in 2017 (https://www.thalesgroup.com/en/worldwide/group/press-release/thales-acquires-guavus-one-pioneers-real-time-big-data-analytics)
  • Since acquisition, I have been leading the core big data and AI platform product management as well as verticalized apps built on the platform as director of product management at Thales USA. I led the inbound product management group responsible for all data and AI products lines. This includes analytics and AI products for network operations, maintenance operations, cybersecurity operations, service assurance and customer experience.
  • https://telecomdrive.com/guavus-unveils-guavus-iq-ai-based-analytics-portfolio-for-csps/
big dataAI productsanalyticsProduct ManagementBig Data Analytics

Director of Product Management (AI/ML Platform & Cybersecurity)

Feb 2017Nov 2022 · 5 yrs 9 mos · San Francisco Bay Area

  • My AI products simplify Operations Intelligence at some of the world's largest Telcos with 100's of millions of subscribers generating petabytes of data per day.
  • I built and led the cybersecurity AI/ML platform at Guavus from scratch in 2017, built engineering, product, marketing and GTM, launching at RSA and Blackhat 2018
  • I am currently building an AI/ML platform and unified analytics fabric for Telcos/IIoT and Cybersecurity use cases at Guavus. I lead a team of product managers, engineers and data scientists across different countries towards following a unified strategy that I have created and executing towards a set of well defined goals.
  • The cybersecurity platform provides real-time AI-based threat detection and interactive threat hunting on big data and network telemetry, and facilitates building complex multi-stage hunt/detect/investigate strategies through an interactive hunt analytics engine using dynamic graphs. Real-time hunting and detection strategies are automatically operationalised on Guavus' Reflex big-data analytics fabric as micro-services.
  • https://www.thalesgroup.com/en/markets/digital-identity-and-security/mobile/5g-data
cybersecurityAI/ML platformproduct launchCybersecurityAI/ML

Guavus

3 roles

Product Architect, CTO Office

Dec 2015Jan 2017 · 1 yr 1 mo

  • o Responsible for creating a holistic, evolving, next-generation big data enterprise architecture strategy and execution plan in the Product Architecture Group – “Reflex 3.0”. Brought thought leadership to the Product Architecture Group during this period (2015-2016)
  • o Defined and managed the overall Reflex 3.0 Architecture and Platform roadmap, planning and metrics
  • o Mentored, planned and executed technology evaluations and prototyping to enable strategic architecture decisions within the Product Architecture team (CTO Group)
business analysistechnical leadershipmarket researchBusiness AnalysisTechnical Leadership

Senior Product Manager (Big Data & AI / ML Platform)

Mar 2015Jun 2017 · 2 yrs 3 mos

  • Guavus supports more than 20 major operators around the world, including the 5 largest North-American mobile operators (AT&T, Rogers, Sprint, T-Mobile and Verizon), 4 out of the top 5 Internet backbone carriers, and 7 out of the top 8 cable operators.
  • My contributions:
  • o Led a cross-functional “all-stars” team to drive a strategic pilot which focuses on addressing gaps in the security markets (SIEM & UEBA) using Guavus’ machine learning platform focusing on cyber threat detection, prediction and remediation using machine intelligence (AI) on Guavus Reflex Platform (2016)
  • o Led the design of the underlying distributed, fault-tolerant, highly available Guavus Security Analytics Platform built on “Reflex 3.0” next-gen architecture (2016)
  • o Responsible for delivering the first version of Guavus Care Reflex Product which was deployed at a Tier-1 US Telco with 60+ Million customers generating over 200 Billion data records per day (2015). Responsible for building a cross-functional team for the product line.
  • o Designed new modules in the Guavus Platform to achieve 500ms latency and 99.99% availability in the Guavus Platform. Created detailed technical requirements for engineering, as well as owned delivery of the 1.0 version of the product (2015)
  • o Drove the strategic PoV (Proof of Value) with a Tier-1 Telco in the US and successfully demonstrating real-time streaming capabilities to address RAN congestion leading to a new product line (2016)
  • o Published technology white papers and patent proposals exhibiting thought leadership
  • o Coordinated with engineering, product management, Sales and Executive Management
  • o Performed technology scouting – assessed technologies, products and created technology blueprints for Reflex 3.0 Platform (2015-2017)
big datasecurity analyticsteam leadershipBig Data AnalyticsTeam Leadership

Engineering Manager (Founding Engineer of Big Data Platform)

Apr 2010Mar 2015 · 4 yrs 11 mos

  • As one of the founding engineers of the first Telco Big Data platform, I was Responsible for conceptualizing, incubating and executing the product roadmap for Guavus Reflex 1.0 and 2.0 Platform in 2010 and 2012 through 100+ size engineering team.
  • Built from scratch entire engineering teams and built from scratch the heart of the Guavus Platform's persistent storage and retrieval engine using columnar storage technologies.
  • Responsible for building a formal Program Management team in the Guavus Platform Group, establishing and formulating release processes, and Scrum Master for multiple teams. Monitored and analyzed product performance metrics throughout the release life-cycle, established data-driven insights to release/feature quality, and provided feedback to improve the product.
  • Directly supervised and controlled the work of engineers and managed the development of features and maintenance of the INSTA team in the Platform group.
  • Spearheaded the creation of GMS (Guavus Management System) in 2013, an OAM product for the Guavus Platform.
  • Owned all performance benchmarking and certifications of Guavus Platform for worldwide customers and managed the Technical Infrastructure Operations for the Platform Group (In House Data Center for Platform).
  • Built a Quality Assurance & System Test team in 2013 with seven employees including a Test Engineering Manager for Guavus Reflex Big Data Platform. Setup agile processes, defect tracking and escalations. Drove the automation test suite development across the India Apps and Platform teams and U.S. team.
architecture strategyproduct roadmapEnterprise ArchitectureProduct Management

Globallogic

Lead, Product Engineering

Mar 2005Mar 2010 · 5 yrs · Noida Area, India

  • Joined Induslogic (later Globallogic) in its earlier days (<50 employees)
  • 5 years of core product development and product architecture for a VoIP SBC product (NexTone->now Ribbon)
  • Responsible for designing product features from scratch.
  • Led multiple engineering teams in product development.
  • Expertise in Linux kernel, TCP/TLS/SCTP protocols, implemented dozens of RFC's, linux network programming, SIP, H323, MGCP protocols, developed lex/yacc parsers for complex state machines, few kernel patches for Linux 2.6.x
  • Awarded Globallogic Annual Excellence Award 2008
big data platformengineering managementEngineering ManagementBig Data

Dutta consultants

Network Specialist

Jan 2001Feb 2005 · 4 yrs 1 mo · Delhi, India

  • Running my own businesses throughout university, established myself as a linux and networking geek
  • Achievements:
  • Setup small private networks, managed OS (windows and linux) and networking switches/routers
  • Built custom kernel drivers (ubuntu, gentoo, LFS, freebsd)
  • Linux network administrator for multiple Internet cafes in Delhi region
  • Network programming (Linux/C/QT)
  • Built a business selling custom gaming rigs
  • FOSS contributions (sourceforge) mostly around Linux networking
  • Reverse engineering network authenticators and malware analysis (Linux)
  • Data recovery and anti-virus/malware expert on Windows
  • Developed and sold Visual Basic applications as private consultant
  • Linux Delhi and India IRC group admin
  • Developed VB courses for NIIT (on contract)
product developmentVoIPProduct DevelopmentTelecommunications

Education

Delhi University

B.S. (Bach. of Information Science) — Computer Science

Jan 2000Jan 2004

DPS Mathura Road

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