Ramnandan Krishnamurthy

CEO

New York, New York, United States10 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Led digital transformation for Coca-Cola's finance data.
  • Scaled Azure's data platform from $1M to $200M ARR.
  • Co-founded AI-driven recruitment-tech startup pre-2016.
Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI-driven solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Business DevelopmentCloud ComputingProduct ManagementData AnalyticsMachine LearningArchitectureData Integration

Other Skills

.NET FrameworkAlgorithm AnalysisApache SparkAzure Cosmos DBBig DataBusiness Intelligence (BI)Business StrategyComputer ScienceCustomer SuccessData LakesData ScienceDeep LearningDigital StrategyDistributed SystemsE-Commerce

About

Founder on a mission to make finance teams faster, stronger, and a whole lot more strategic! Here are a few things I've done before Maximor: - Led global digital transformation initiatives for finance, including setting up Coca-Cola’s global finance data lake to unify reporting across regions. - Scaled Azure’s data platform from $1M → $200M ARR and launched real-time analytics for transactional databases. - Pitched and founded a 0-to-1 digital platform incubation for the next billion users in India. - Co-founded & sold an AI-driven recruitment-tech startup - before AI was everywhere (2016). - IIT-Madras, BTech + MTech in Computer Science, deep reinforcement learning researcher. Graduated top of batch.

Experience

Maximor ai

Co-founder & CEO

Jan 2024Present · 2 yrs 2 mos · New York, United States

  • On a mission to eliminate manual accounting work for mid-market & enterprise finance teams.
  • At Maximor, we’re building AI teammates for your finance org—to give 40% more strategic capacity, keep you continuously audit/exit-ready and help the team focus on foresight than firefighting.
  • Our pod of AI agents plugs into your existing finance stack (NetSuite, Quickbooks, Sage Intacct, etc.) with zero IT replatforming—automating up to 90% of repetitive tasks across revenue, treasury, book close & reporting workflows.
  • Unlike BPOs or outsourced firms, Maximor keeps your team in control—with full visibility and expert-reviewed AI outputs to ensure compliance and accuracy.
  • 📅 Happy to share how we’re saving teams 2–4 FTEs of manual workload and helping them close in 1–2 days instead of 10.
  • DM me to book a quick walkthrough.
Artificial Intelligence (AI)Business DevelopmentCloud ComputingData AnalyticsMachine Learning

Microsoft

5 roles

Strategic Transformation Initiatives

Jan 2023May 2023 · 4 mos

  • Drove customer adoption efforts for Azure Open AI across key industry vertical scenarios, focusing on finance and retail sectors.
Artificial Intelligence (AI)Cloud ComputingData Analytics

Strategic Product & Partnerships Lead - Finance & Retail

Promoted

Nov 2021Dec 2022 · 1 yr 1 mo

  • Led incubation of Microsoft's investments in India's digital public infrastructure (IndiaStack) for financial services and e-commerce - namely ONDC (Open Network for Digital Commerce) and OCEN (Open Credit Enablement Network).
  • Collaborated closely with government bodies, startups, academia, and cross-functional teams within Microsoft to advance product and partner initiatives.
Business DevelopmentCloud ComputingProduct Management

Product Lead - Synapse Link (Unified Analytics)

Jan 2020Nov 2021 · 1 yr 10 mos

  • Led product & engineering for a 0-to-1 initiative to unify Azure's database & analytics offerings, which eventually evolved into Microsoft Fabric HTAP.
  • Key Highlight: Spearheaded the launch of 'Azure Synapse Link,' the first native HTAP (Hybrid Transactional Analytical Processing) analytics-as-a-service across public clouds, a CEO-priority initiative.
  • Played a key role in landing Coca-Cola’s global finance platform - one of Azure’s largest cloud deployments - alongside other strategic customers.
  • Owned strategy, roadmap, and execution from concept to GTM over 18 months, managing a team of engineers and PMs.
  • Worked cross-functionally across marketing, monetization, sales, customer success, and support to launch new platform capabilities and drive product-market fit.
Cloud ComputingData AnalyticsProduct Management

Founding Forward Deployed Architect (Finance Data Transformation)

Promoted

Oct 2017Jan 2020 · 2 yrs 3 mos

  • Founding member of a strategic "customer engineering" team for Azure Data & AI, inspired by Palantir's Forward Deployed Architect model. Worked cross-functionally across product and technical sales.
  • Key Highlight: Led net-new growth initiatives that contributed $200M in revenue in two years.
  • Revenue Growth: Designed and executed both sales-led and product-led growth initiatives. Provided strategic technical consulting to Fortune 500 companies like Walmart, Coca-Cola, and Adobe, helping them drive digital transformation on the Azure Data & Analytics platform.
  • Ecosystem Partnerships: Developed product integrations and partnerships between Azure Cosmos DB and external ISV products, as well as first-party Microsoft services, focusing on end-to-end experiences.
Cloud ComputingData AnalyticsBusiness Development

Software Engineer - Azure Infrastructure

Nov 2016Oct 2017 · 11 mos

  • Worked with the Cosmos DB Platform Engineering team
  • Built the bulk ingestion functionality in Azure Cosmos DB which resulted in a 10x improvement in write throughput given same compute resources
  • Lead contributor for an Apache Spark connector for Azure Cosmos DB and maintained open source community
  • Worked with the Azure Network Management team
  • Implemented telemetry analytics for core services in network infrastructure which preemptively catches potential live site risks
  • Contributed to a distributed service to increase Azure network hardware monitoring and automate failure mitigation to support Azure 10x scale & reliability goal
Cloud ComputingData AnalyticsMachine Learning

Open network for digital commerce

Volunteer Architect

Dec 2021Jan 2023 · 1 yr 1 mo · India

  • Helping design & architect some of the network infrastructure modules needed to bootstrap a population-scale open network for decentralized commerce - such as a portable reputation management system to allow for interoperability across commerce platforms
  • How did I get into this? Took the opportunity to work remotely from India through 2021 and spend time understanding the challenges faced by SMEs while volunteering at BeckN Foundation (FIDE) & iSpirt
ArchitectureCloud ComputingData Analytics

Fastnext.co

Co-Founder (Acquired)

Sep 2015May 2017 · 1 yr 8 mos · Bengaluru Area, India

  • Developed a hyper-personalized outbound recruitment platform, powered by machine learning, that analyzed the online presence of millions of students & recent grads to match them with enterprise hiring needs.
  • Accepted into the NASSCOM 10,000 Startups Acceleration Program.
  • Acquisition: Initially rolled up by a consultancy, then acquired by ANSR and integrated into their Talent500 product line (no longer operational after roll-up).
Machine LearningProduct Management

Quabl

Co-Founder (Pivoted)

Oct 2014Sep 2015 · 11 mos · Chennai

  • Initially developed a contextual Q&A product to help undergrads and research scholars stay on top of coursework and research. Launched a beta version for select courses at IIT Madras in Summer 2015 and validated the concept. Encountered scaling challenges in expanding across universities in a bottoms-up manner wherein students could be targeted.
  • Pivoted to building secure APIs for instant verification of student identities, enabling college-centric apps to boost user retention by eliminating manual verification processes and minimizing fraud. This API solution provided app makers with critical data.
  • We stumbled upon one such college-centric app idea - that evolved into Fastnext.
Machine LearningProduct Management

University of southern california

Research Intern

May 2014Jul 2014 · 2 mos · Greater Los Angeles Area

  • Worked as a Visiting Research Intern in the Information Integration Group with Prof. Craig Knoblock and Prof. Pedro Szekely under the USC Viterbi-India Research Fellowship Program.
  • Developed a new approach for the problem of assigning semantic labels to data sources according to a given underlying ontology, a key step in the larger problem of data integration. Experiments show that our approach has higher label prediction accuracy, lower time complexity than existing systems and is also capable of handling noise in data sources.
  • The work was published and presented at the 12th Extended Semantic Web Conference (ESWC) 2015, Portoroz
  • Incorporated the above semantic typing approach as a module in Karma, an open-source information integration tool being developed at ISI.
Data IntegrationMachine Learning

Knowledge foundry business solutions

Machine Learning Intern

May 2013Jul 2013 · 2 mos · Bangalore

  • Developed a Recommendation System for E-Commerce based on a hybrid approach of collaborative filtering and content-based clustering techniques with tweaks to handle cold-start problem, data sparsity, time & space complexity, etc. A working distributed prototype was built and and tested on MovieLens 10 million dataset.
  • Developed a Data Analytics Engine which allows business users to perform ad-hoc business data analysis built above the Google BigQuery IaaS.
Machine LearningData Analytics

Education

Indian Institute of Technology, Madras

B.Tech + M.Tech (Dual Degree) — Computer Science & Engineering

Jan 2011Jan 2016

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