Aran Khanna
About
Detail
CEO
Bellevue, Washington, United States
Résumé
Jobs
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Governing Board MemberFinOps FoundationFeb 2026 - Current (9 months)• Collaborated with peers in the FinOps, Tokenomics and Linux Foundation community to establish best practices for managing cloud, AI and broader IT costs.
• Represented over $2.5T of annual IT spend, ensuring alignment with industry standards and practices.
• Engaged in discussions around SaaS and AI cost management to drive efficiency and innovation in financial operations.- CEO, Co-FounderArcheraMay 2019 - Current (7 years 6 months)- Created the category of Insured Cloud Commitments, 30%+ Savings with Flexible terms as short as 30 days
- Built a Free Cloud Commitment Management Platform -> Automate Savings in 5 Min with no code or infra changes
- Scaled business to >$25M ARR, 1,500+ Users, 50+ Active Partners Globally & Series B Funding from Top VCs
- Helping Cloud Leaders (CIO/CTO/VP of Infra), DevOps, SRE, FinOps & IT Finance; save more with higher commitment coverage but Less financial lock-in - GCo-FounderGlia IntelligenceFeb 2018 - Apr 2019 (1 year 3 months)• Co-Founded a physical-retail focused machine learning consulting practice, raising initial financing and leading early business development, closing a Fortune 500 retailer.
• Built deep learning models to optimize replenishment and pricing policies across thousands of store locations. Showing measurable top-line and bottom-line financial improvements for customers. - AI EngineerAmazon Web ServicesOct 2016 - Feb 2018 (1 year 5 months)• Co-authored academic papers presented at ICML 2018 (talk & poster), ICLR 2018 (poster), CVPR 2017 (workshop), ICML 2017 (tutorial) and NIPS 2017(workshop). Mentored interns conducting novel research in deep network model compression and efficiency, working alongside professors from our Academic group. Contributed to the development of novel, neural network compression tools for Apache MXNet.
• Tech lead for the AWS DeepLens product. Pitched the initial idea to management, drove the hardware partner selection, defined the architecture and launch content, helped hire the development team of 8 people, coordinated development efforts between Intel, our ODM and Amazon, and led a launch of the product at AWS re:Invent in 6 months. With the - MSoftware Development EngineerMarianas LabsJun 2015 - Aug 2015 (3 months)• Wrote a large-scale distributed data crawling and aggregation framework in Python that was licensed to Marianas Labs customers for an incremental $200K of revenue.
• Developed a clustering method to identify new object classes in terabytes of images using a deep-network-based image embedding system, built in Caffe, leading to a significant reduction in data mislabeling. - HResearch Fellow & DeveloperHarvard Institute For Quantitative Social Science IQSSMay 2015 - Aug 2016 (1 year 4 months)• Researched and identified major privacy and security vulnerabilities in products used by hundreds of millions of people worldwide, leveraging technologies such as distributed bot-nets, penetration testing tools and data visualization tools. Worked closely with Professor Latanya Sweeney to produce two academic papers published in the Journal of Technology Science.
• Spoke and wrote extensively about digital privacy including multiple academic papers, a talk at TEDxBerkeley, an Op-Ed in TIME magazine and regular contributions to the Huffington Post and Business Insider. Interviewed with several global publications including the BBC and Forbes, and a series of personal blog posts (available at - Software Development EngineerNovus Partners IncJun 2014 - Aug 2014 (3 months)• Interned alongside a team of engineers to add features to the core platform that consumes hedge fund data and provides quantitative analysis (exposures, position sizing etc.)
• Worked in Scala on the data pipeline building out more efficient data consumption processes, and built visualizations in Angular and D3 for the consumed data, leading to faster client on-boarding and a better user experience. - MSoftware Development EngineerMicrosoft AzureJun 2013 - Aug 2013 (3 months)• Interned in the Windows Azure Fabric Fundamentals Team. Identified the causes of infrastructure downtime by developing a C# based data pipeline on top of core VM allocation systems.
• Built a distributed unsupervised classification engine, based on hierarchical clustering methods to analyze and bucket the terabytes of operational data coming from the entire Azure network of data centers, helping triage hundreds of bugs and increase VM availability. - TResearch InternTargeted Growth IncorporatedJun 2011 - Aug 2011 (3 months)• Interned at a biotech startup using industry standard genetic engineering techniques to create a strain of cyanobacteria that could sustainably produce carbon neutral biofuels. Worked on an individual research project, under the guidance of Dr. Brett Kaiser, to understand and induce expression of environmental stress responses in blue-green algae.
Education
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- A.B, Computer Science and MathematicsHarvard UniversityJan 2012 - Jan 2016 (4 years 1 month)
- LLakeside High SchoolLakeside High SchoolJan 2008 - Jan 2012 (4 years 1 month)Online Coursework taken includes: Stanford University’s Introduction to Programming Methodology, MIT’s Introduction to Algorithms
Projects (professional or personal)
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Publications
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- TVenmo’ed: Sharing Your Payment Data With the WorldTechnology Science OctA study of the amount of personal information users are leaking to the world through default public sharing settings on the popular peer to peer payment app Venmo.
- TTEDxBerkeley: Why it's not your fault that you're sharing too much onlineTEDxBerkeley FebA talk I was invited to give at TEDXBerkeley about the large amount of personal information apps are causing people to reveal publicly online, why this has become a problem, and what we can do about it.