Vishakha Sadhwani

Product Manager

San Francisco, California, United States8 yrs 8 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in designing scalable AI infrastructure solutions.
  • Recognized for exceptional performance at Google Cloud.
  • Proficient in cloud migration and modernization strategies.
Stackforce AI infers this person is a Cloud and AI Infrastructure Architect specializing in scalable solutions for enterprise environments.

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Skills

Core Skills

Ai/ml SolutionsInfrastructure ManagementCloud ArchitectureAi InfrastructureCloud MigrationSolution ArchitectureCloud DeploymentDevopsCloud Infrastructure

Other Skills

AI workloadsAWS CLIAWS CloudFormationAWS CodeBuildAWS CodeDeployAWS CodePipelineAWS Elastic BeanstalkAWS SDK for JavaAWS resourcesAcceptance testingAmazon EC2Amazon ECSAmazon EKSAmazon Web Services (AWS)AngularJS

About

Seasoned Cloud and AI Infrastructure Architect with "growing" expertise in designing and implementing secure, scalable solutions across private, public, multi-cloud, and hybrid cloud environments. I specialize and share byte-sized content about: - Public Cloud (AWS, GCP) - Cloud Migration & Modernization - Kubernetes/CNCF tools - Infrastructure as Code (Terraform, CloudFormation, Pulumi) - CI/CD pipelines & GitOps workflows - Observability & Monitoring (Prometheus, Grafana, ELK Stack) - MLOPS, AIOps, LLMOps - (still learning myself) - Cost Optimization & Cloud Governance * Opinions ~ MY OWN * Personal Life: https://www.instagram.com/vishakha.sadhwani/ Youtube : https://youtube.com/@vishakha.sadhwani Newsletter: https://www.tech5ense.com Want to work with me? Send email here - connect.vishakha23@gmail.com As a woman in tech, I've surfed the waves of challenges and opportunities in DevOps. Ready to spill the tea on my experiences with the LinkedIn fam! 🍵

Experience

Nvidia

Sr. Solutions Architect (AI Inference)

Oct 2025Present · 5 mos · Santa Clara, CA

  • • Optimize inference workloads for performance and resource efficiency (GPU orchestration, load balancing, autoscaling, latency & throughput tuning). 
  • Partner cross-functionally with engineering, product, data-science / ML teams, and customers ~ to define architecture, evaluate requirements, and deliver PoC or production-grade AI/ML solutions. 
  • Implement and manage infrastructure for AI inference (including containerization/orchestration such as Kubernetes, GPU-orchestration, resource scheduling, monitoring/observability, CI/CD / MLOps). 
  • Participate in performance analysis, profiling and benchmarking of inference workloads
  • (including power/performance trade-offs, GPU utilization, MIG / multi-instance GPU management, model serving throughput/latency, optimization using libraries/frameworks). 
GPU orchestrationload balancingautoscalinglatency tuningthroughput tuningKubernetes+4

Google

2 roles

Sr. Cloud Architect, Strategic AI

Promoted

Oct 2024Oct 2025 · 1 yr · New York, United States

  • Supporting strategic AI customers in designing and deploying scalable infrastructure for AI workloads on Google Cloud.
  • Specializing in compute, storage, and network architecture to optimize performance and reliability for training and inference workloads.
  • Delivering infrastructure solutions that align with customer goals — from high-performance GPUs/TPUs to hybrid and multicloud setups.
  • Collaborating with engineering, product, and sales teams to ensure seamless customer adoption and satisfaction.
  • Leading technical sessions and architecture reviews focused on AI-optimized infrastructure design best practices.
Google CloudAI workloadscompute architecturestorage architecturenetwork architectureCloud Architecture+1

Cloud Architect

Sep 2021Oct 2024 · 3 yrs 1 mo · New York, United States

  • Identify and qualify business opportunities, identify key customer technical challenges and develop a strategy to resolve technical blockers.
  • Recommend and document migration path, integration strategies, and application architecture required to successfully implement a complete solution using best practices on Google Cloud.
  • Develop architectural blueprints to enable datacenter and mainframe migration opportunities in coordination with Google Cloud product and specialist teams.
  • Assist the infrastructure solutions management teams, contributing to solution and use case specific assets
  • Awarded the Google Cloud Club in 2024 - #1 Annual Award provided to Top 1% of the organization, recognized for exceptional performance record and team leadership
Google Cloudmigration strategyapplication architecturedatacenter migrationGoogle Kubernetes EngineGoogle BigQuery+2

O'reilly

Author

May 2024Mar 2025 · 10 mos

Amazon web services (aws)

3 roles

Cloud Engineer II | Deployment | CloudFormation SME

Jul 2021Sep 2021 · 2 mos

  • Experience in Infrastructure development and operations involving CI/CD services like AWS Code Pipeline, Code Build,Code Deploy, CloudFormation and Containerized services like ECS and EKS.
  • Accredited as CloudFormation Subject Matter Expert and also works as a POC for AWS Xray Support Escalations.
  • Applied advanced troubleshooting techniques to provide tailored solutions for AWS customers and drive customerinteractions by thoughtfully working with customers to dive deep into the root cause of an issue.
  • Advocated and strategized technical guidance to help plan and build solutions using best practices, and proactivelykeeping customer’s AWS environments operationally healthy.
CI/CDAWS CodePipelineAWS CodeBuildAWS CodeDeployCloudFormationCloud Deployment+1

Cloud Engineer I - Deployment

Apr 2020Jun 2021 · 1 yr 2 mos

AWS CodeDeployAWS CodeBuildAWS CloudFormationAmazon ECSAmazon EKS

Cloud Support Associate - Deployment

Sep 2019Mar 2020 · 6 mos

AWS CodeDeployAWS CodeBuildAWS CloudFormationAmazon ECSAmazon EKS

Brightspot

DevOps Engineer

Jul 2018Sep 2019 · 1 yr 2 mos · Reston, Virginia

  • Managed and maintained 500+ Ubuntu Linux EC2 hosts across infrastructure supporting 50+ customer environments.
  • Led migration from Chef-based infrastructure to containerized environments using Docker — including image creation and container orchestration for services like Apache, Tomcat, MySQL, and SOLR.
  • Designed and implemented AWS resources (SQS, SNS, SES, Elastic IPs, NACLs) to support internal automation tooling.
  • Developed cloud infrastructure automation features using AWS SDK for Java, improving scalability and deployment efficiency.
  • Set up robust backup mechanisms for production and tested disaster recovery strategies to ensure high availability.
  • Participated in a 24/7 on-call rotation — triaging and resolving production incidents, and escalating as needed to minimize downtime.
AWS CodeDeployAWS CodeBuildAWS CloudFormationAmazon ECSAmazon EKS

University of maryland college park

Graduate Teaching Assistant

Jan 2018May 2018 · 4 mos · United States

Ubuntu LinuxDockerAWS SDK for JavaAWS resourcesDevOpsCloud Infrastructure

Switchpitch

Software Developer Intern

Oct 2017Dec 2017 · 2 mos · Washington, District Of Columbia

  • Implemented testing processes in a startup ecosystem to discover design issues and development errors.
  • Performed regression and acceptance testing to track bugs and ensure application’s user Experience is intuitive.
  • Simulated Online interactions to ensure the product functions for 99% of use cases.

Financial industry regulatory authority (finra)

Software Engineer Intern

May 2017Aug 2017 · 3 mos · Rockville, Maryland

  • Created and tested Baking and Bootstrap scripts for customizing application server (EC2) using AWS CLI.
  • Reduced overall deployment time from 1hr to 10mins using PowerShell framework scripting for windows server
  • Coordinated to create customized Amazon machine images with updates and patches from FINRA AMI.
  • Migrated Oracle database to PostgreSQL database which reduced load and optimized query performance
  • Hackathon| Balance (1st rank)
  • Designed and Developed a cross platform Mobile Application which works as an investing guide for beginners
  • Implemented as a simulation game with tips, tricks, tutorials and mock scenarios
  • Collaborated with a group of 4 people to design, build and test this application within a deadline of 15 hours
  • Twitter Link : https://twitter.com/search?q=finra%20internathon&src=typd&lang=en
Testing processesRegression testingAcceptance testing

Stamp at university of maryland,college park

Office Assistant

Aug 2016May 2017 · 9 mos · College Park,Maryland

  • Assist with administration of Pepsi Enhancement Funding and University Awards Program.
  • Coordinate and contribute to day to day office management functions.
  • Monitor and update office website and design of office interiors and banners.
  • Leader of SEAB: Resolved student employment issues and created a unified office staff through community development.
  • Details available at : http://thestamp.umd.edu/the_stamp_student_union/employment/student_employment_advisory_board_seab
AWS CLIPowerShell scriptingOracle databasePostgreSQL database

Bhilai steel plant

Industrial Engineering Intern

Jun 2015Jul 2015 · 1 mo · Bhilai Area, India

  • Implementation of PID controller to control top level pressure of Blast furnace using
  • SLC,US-1000(Yokogawa Electric Corporation)
  • Programmed to control and monitor the top level gas pressure of the valves to maintain a constant pressure in the blast furnace

Education

University of Maryland

Master's degree — Computer Engineering

Jan 2016Jan 2018

University of Maryland

Graduate certificate — Software engineering

Jan 2016Jan 2017

Bhilai Institute of Technology (BIT), Durg

Bachelor's degree — Electronics and Telecommunication engineering

Jan 2012Jan 2016

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