VaNaShRi Technology Consulting
Technology & Innovation for a Sustainable Planet
VaNaShRi Technology Consulting
Technology & Innovation for a Sustainable Planet
VaNaShRi ("Blessed Forest") drives Sustainability for You!
Over the past 30 years, I have been part of driving disruptive and innovative impacts across diverse technologies, driving revenue in excess of USD 20B, namely in:
- Electric Vehicles Swapping/Charging Stations, Digital Twin Operations SaaS
- Industrial AI SaaS for Emissions Reduction and Sustainability
- Voice & Video Collaboration Technologies SaaS
- Systems Management for Large Scale Datacenter Infrastructure and Telecommunications Systems
Industry recognized for key technology & business attributes:
- Strategic technology vision, effectively connecting the dots across domains
- Innovative architecture, design and development (10 US patents)
- Excellent hands-on, high quality engineering, with excellent crisis leadership skills
- Very strong people-first, ethics driven leadership (100+ sized global teams)
- Excellent multifaceted communicator, mentor and teacher
Background:
- Chief Digital Officer: Indian School of Business, Executive Education
- Post Graduate Diploma in Machine Learning: UT Austin
- Leading Innovative Change: UC Berkeley Haas Executive Education
- MS Electrical Engineering: University of Maryland, College Park, ISR/Robotics
- BTech Electronics & Communication Engineering: IIT Madras
- NASSCOM DeepTech Mentor
- Elected Senior Member IEEE
- Elected Senior Member ACM
Marquee Industry Contributions:
- Sun Mobility (Electric Vehicles): Battery Swapping & Charging SW infrastructure for Electric Trucks, Buses, 3-Wheeler & 2-Wheeler Vehicles. Technology scale-up for energy JV with Indian Oil.
- Eugenie.ai (Sustainability): Technology scale-up and re-engineering of AI-based de-carbonization SaaS for the Steel & Mining industries.
- Nutanix (HCI): Key innovations around Nutanix's Distributed Hybrid Cloud Manageability Solution.
- Cisco: Hybrid Cloud Serviceability for the next generation Webex video conferencing solution.
- DELL: Development of the iDRAC Controller for fully automated Data Center Management.
- Infinera: Management Plane for industry leading long-haul DWDM optical networking provider.
VCs & Founders: Is product scale-up giving you nightmares?!
Typical Software Architecture Issues
Typical Software Architecture Issues
Typical Software Architecture Issues
- Design and interface silos
- Incomplete mapping of use-cases to architecture
- Absence of delineation between Edge, Fog & SaaS
Typical Agile Design & Coding Issues
Typical Software Architecture Issues
Typical Software Architecture Issues
- Ad-hoc designs misaligned with architecture and UX
- Sprints not delivering non-functional requirements i.e. performance, scale, security
Typical AI/ML Issues
Typical Software Architecture Issues
Typical IoT, Remote Sensing Issues
- Erroneous ML model design of real-time systems
- Data redundancy, scalability & sensor error handling not accounted for in design
Typical IoT, Remote Sensing Issues
Typical Microservices, Docker, K8s Issues
Typical IoT, Remote Sensing Issues
- Not accounting for cross-vendor abstraction of sensors, protocols & data
- Incomplete data pipeline security, resilience
Typical DevOps Issues
Typical Microservices, Docker, K8s Issues
Typical Microservices, Docker, K8s Issues
- Absence of feature & operations metrics, toggles
- Absence of scalable logs, events and actionable alerts for automated operations
Typical Microservices, Docker, K8s Issues
Typical Microservices, Docker, K8s Issues
Typical Microservices, Docker, K8s Issues
- Struggle in crossing the chasm from monolithic designs to microservices
- Struggle in simplifying use of containers and kubernetes
Typical Performance, Scale & SLA Issues
Typical Serviceability, Diagnostics Issues
Typical Performance, Scale & SLA Issues
- Absence of systematic identification and measurement of bottlenecks
- Struggle to incrementally scaling production from 5X-100X cost-effectively
Typical High Availability Issues
Typical Serviceability, Diagnostics Issues
Typical Performance, Scale & SLA Issues
- Missing (D)FMEA/Failure analysis in design flows
- Incomplete monitoring and detection of degraded production deployments without automated service
Typical Serviceability, Diagnostics Issues
Typical Serviceability, Diagnostics Issues
Typical Serviceability, Diagnostics Issues
- Missing end-to-end Trace automation for scalable support and diagnostics
- Incomplete AIOps, Canary test metrics, and state management in production