Ravi Teja Kankanala

CTO

San Francisco, California, United States16 yrs 11 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • 16+ years in cloud and AI infrastructure leadership
  • Expert in architecting scalable data platforms
  • Proven track record in cloud automation and SRE
Stackforce AI infers this person is a SaaS and Telecom expert with a focus on cloud architecture and data engineering.

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Skills

Core Skills

Cloud ArchitectureSreMulti-cloud StrategyData EngineeringData ScienceProduct StrategyTelecom AnalyticsData Analysis

Other Skills

AWSAWS LambdaAgile MethodologiesApache KafkaApache SparkArchitectureAutomationBig DataBigMLCloud SecurityConcept to LaunchCross-Cultural Communication SkillsCross-SellingCross-functional CoordinationCross-functional Team Leadership

About

I am a principal cloud and AI infrastructure leader with 16+ years of experience architecting scalable, secure, and cost-optimized data platforms across AWS and GCP. With a generalist mindset and a proven track record of execution, I specialize in unifying infrastructure, MLOps, and data science to enable high-performance computing and real-time analytics at petabyte scale. My career has been defined by repeatedly taking ideas from zero to one, products concept to launch, translating complexity into resilient, production-grade platforms. At Netskope, I shaped the cloud architecture and SRE strategy across four product lines, driving automation that cut incident volume, reduced on-call fatigue, and accelerated deployment velocity. In this role, I served as the right hand to senior engineering leadership influenced the company’s GCP adoption strategy, designed scalable cloud-native data infrastructure leveraging Kafka and ClickHouse, and delivered systems capable of processing terabytes of data per day. Previously at Bayer(Monsanto), architected Location360 from ground up creating a multi-cloud(AWS, GCP) platform that still processes billions of spatial records globally, supporting precision agriculture and climate modeling at multi-petabyte scale. At Xlabs, I headed the data engineering and analytics practice, leading large-scale transformation initiatives for global clients. In this role, I managed both first-line teams (direct reports) and second-line managers, balancing strategic direction with execution oversight. Earlier in my career at Ericsson, I tackled massive telecom data challenges, building reliable systems for high-volume network analytics. I catalyze innovation at the intersection of technology and people driving open-source collaboration and igniting systems that balance governance, cost efficiency, and scale. My experience spans SaaS security, agriculture, climate science, healthcare, telecom, and market research anchored in the ability to align technology strategy with business outcomes.

Experience

Oracle

Principal Architect, MultiCloud

Feb 2026Present · 1 mo · Santa Clara, California, United States · Hybrid

Netskope

Senior Staff, Cloud | SRE

Nov 2021Jan 2026 · 4 yrs 2 mos · Santa Clara, California, United States · Hybrid

  • Thrilled to see Netskope reach a major milestone by going public in September 2025. It’s been an incredible journey to be part of a team building and scaling platforms. Successfully managed and led cloud initiatives and SRE efforts for four products at Netskope.
  • Mentored principal engineers and architects within cross-functional teams, empowering them to excel in their roles. By coaching them in design and utilization of an infrastructure-as-code framework, we simplified the deployment process for RBI, PDEM, PCCS, and CSPM products. This also includes building data infra on cloud using Kafka and clickhouse handling terabytes of data daily.
  • Key Position Achievements:
  • o Built a cutting-edge cloud infrastructure automation solution for RBI, PDEM, SSPM, PCCS, and Storage Scan (DEM). By implementing proactive monitoring, we were able to minimize incidents and significantly reduce on-call activities.
  • o Fostered a culture of innovation and continuous learning within the teams, driving productivity at scale and optimizing costs on the cloud.
ArchitectureCross-functional CoordinationCross-SellingEnterprise ArchitectureInfrastructureTeam Building+14

Bayer

Research Data Scientist, Data Platform (expert) - Location360

Apr 2016Nov 2021 · 5 yrs 7 mos · St Louis, Missouri, United States · Hybrid

  • Bayer acquired Monsanto. Early engineer (4th hire) from inception of Location360 to present day with accountability for day-to-day management of 7 AWS accounts and 3 GCP accounts. Multi-cloud platform strategy, infrastructure management, CSP, N2K, audit, governance, and compliance. Performance compute through platform engineering, data engineering and cloud engineering, addressing challenges in crop, soil and weather data for both vector and raster data at Multi-Petabyte scale.
  • Key Position Achievements:
  • o Lead all open-source initiatives, playing a pivotal role in making technical decisions through proof of concepts and study on industry developments.
  • o Primary Architect for several of the functionalities developed and implemented for Location360.
  • o The systems deployed through proof of concept implemented in 2016 is still currently handling billions of records in production and successfully handling spatial queries spanning the world for 4+ years.
AWSPredictive AnalyticsArchitectureAgile MethodologiesData MiningBig Data+25

Xtream

Lead Architect, Head of Data Science

Jan 2012Jan 2016 · 4 yrs · Albany, New York, United States and Hyderabad, India · On-site

  • Founding Engineer, Responsible for building the team from scratch for Xlabs. Created product strategies for Xtream’s product line. Launched multiple products in Big data and Machine learning space. Worked with customers to define requirements and features and also with globally distributed development teams. Evangelised technology solutions to prospects, customers, analysts and internal teams. Led a team of 15+ engineers including 2 managers. Authored machine learning white papers in Market Research, Audit and Health Care.
AWSPredictive AnalyticsArchitectureAgile MethodologiesData MiningBig Data+26

Ericsson r & d

2 roles

Senior Software Engineer - Analytics Suite

Jan 2009Jan 2012 · 3 yrs · Chennai, Tamil Nadu, India · On-site

  • Responsible for the development of Consumer Information Management product in the telecom industry, Analytics Suite, that analyzes call detail records (CDR) to get key insights of the data in the telecom domain. The product addresses the challenges in mobile social media through mining huge terabytes of data by distributed processing through Hadoop. Predictive data analysis, Churn Analytics and Tag Recommendation.
  • o Design and development of Analytics Suite 2.0(Loyalty and Churn Analytics).
  • o Applied social network analysis, Data mining and machine learning methodologies for consumer behavior analysis on telecom data.
  • o Developed the recommendation engine by reverse engineering using machine-learning methodologies to improve the churn rate based on the location.
  • o Determined the alpha/influential users with in the telecom network of over 10+million users.
  • o Effective utilization of dynamic discount solution to improve the ROI.
  • One of the top five finalists of the Ericsson Business Multimedia Innovation competition held across 65 countries. Developed the prototype Analytics Eye under Business Support Solutions Category and represented Ericsson R&D India in Ericsson Stockholm, Sweden.
Agile MethodologiesData MiningBig DataHadoopMachine LearningConcept to Launch+4

Summer Research Intern

May 2008Jul 2008 · 2 mos · Chennai, Tamil Nadu, India · On-site

  • Learned telecom domain, data selection, data cleaning, data preprocessing, data reduction and data transformation techniques and prepared platform for the analysis of telecom consumer behavior characteristics.
  • Provided a technical solution on the evolution of the mobile customer behavior which and where one can know if something is happening when, where, why, what and how for churn analytics by establishing a social network framework on telecom data.
  • Predicted behavior of network by Segregation of the communities based on cliques, cores, biconnected partitions.

Xilinx r&d

Summer Research Intern

May 2007Jun 2007 · 1 mo · Hyderabad, Telangana, India · On-site

  • • Worked on Tool Analysis and Research project, was associated with the Design Software Division. Designed and created the module circuit analyzer to gather information on the circuit topology and analyzed the ISCAS ’89 benchmark circuits to demonstrate the toggle rate variations between gate-level and LUT-level netlists for the future work on Power aware synthesis and synthetic circuit.

Education

University of California, Berkeley, Haas School of Business

Certificate of Excellence in Technology Strategy — Executive Education

Jan 2023Jun 2024

Indian Institute of Technology, Madras

Btech — Computer Science and Engineering

Jan 2005Jan 2009

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