Aravind R.

Co-Founder

San Francisco, California, United States21 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led cross-functional teams at Uber for global scale projects.
  • Developed AI-driven products improving business profitability.
  • Taught Data Science to over 200 professionals at BITS Pilani.
Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI and data-driven solutions.

Contact

Skills

Core Skills

AiEcommerceData ScienceTeachingTechnical DocumentationTeam ManagementAutomationDistributed SystemsFraud ManagementCloud ServicesFeedback ManagementBilling Solutions

Other Skills

Data AnalysisRetention StrategiesProfitability OptimizationBig Data SystemsPolicy TranslationData InsightsPlatform DevelopmentMachine LearningBig Data AnalyticsWeb DevelopmentSystems AnalysisSQLProgrammingResearchDatabases

About

Co-founder at Niti AI | Ex-Uber, Microsoft | Guest Faculty, BITS Pilani | PhD in Computer Science Engineering leader and startup founder passionate about building scalable systems, high-performance teams, and AI-driven products that deliver real-world business impact. At Uber, I led large cross-functional teams across Risk, Growth & Marketing, and Customer Engagement, building distributed systems that powered experimentation, personalization, and customer trust at global scale. My focus was on combining engineering excellence with velocity โ€” scaling systems, people, and impact together. Previously at Microsoft I built cloud databases and cloud-scale systems involving distributed systems, telemetry, and big data analytics. As a Guest Faculty at BITS Pilani, I teach graduate courses in Data Science and Big Data Systems to 200+ professionals, bridging academic rigor with production-grade engineering and leadership lessons from the field. At Niti AI, Iโ€™m channeling these experiences into building AI-native growth infrastructure for ecommerce and DTC brands โ€” a unified data, metadata and decision layer across Ads, CRM, and revenue systems. The platform combines signal detection pipelines, margin-aware modeling frameworks, and agent orchestration systems that diagnose root causes to generate execution-ready decisions. The focus is on decision compression, closed-loop learning, and continuously compounding marketing performance through structured data, feedback loops, and autonomous optimization. ๐˜—๐˜ฆ๐˜ณ๐˜ด๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜ฑ๐˜ฉ๐˜ช๐˜ญ๐˜ฐ๐˜ด๐˜ฐ๐˜ฑ๐˜ฉ๐˜ช๐˜ฆ๐˜ด: ๐˜—๐˜ฆ๐˜ฐ๐˜ฑ๐˜ญ๐˜ฆ ๐˜ง๐˜ช๐˜ณ๐˜ด๐˜ต โ€ข ๐˜”๐˜ฆ๐˜ณ๐˜ช๐˜ต๐˜ฐ๐˜ค๐˜ณ๐˜ข๐˜ค๐˜บ ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ข ๐˜ฉ๐˜ช๐˜จ๐˜ฉ ๐˜ฃ๐˜ข๐˜ณ โ€ข ๐˜ˆ๐˜ถ๐˜ต๐˜ฐ๐˜ฏ๐˜ฐ๐˜ฎ๐˜บ โ€ข ๐˜‹๐˜ฐ ๐˜ฎ๐˜ฐ๐˜ณ๐˜ฆ ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ญ๐˜ฆ๐˜ด๐˜ด โ€ข ๐˜š๐˜ต๐˜ข๐˜บ ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ โ€ข ๐˜Œ๐˜ฏ๐˜ซ๐˜ฐ๐˜บ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ณ๐˜ข๐˜ง๐˜ต

Experience

Niti ai

Co-Founder and CTO

Jul 2022 โ€“ Present ยท 3 yrs 8 mos ยท Bengaluru, Karnataka, India

  • Co-founder at Niti AI โ€” the first Retention Profitability Platform.
  • We help D2C brands stop killing margins with blanket discounts. Most retention systems optimize for engagement, not economics โ€” treating every customer the same and bleeding profit in the process.
  • Nitiโ€™s margin-aware AI replaces static playbooks with dynamic, profitable offers that adapt to each customerโ€™s economics. Brands use it to segment by profitability, test incentives by margin profile, and automatically scale what drives sustainable growth.
  • Our agents have been helping brands improve margins by 15โ€“25% within 90 days โ€” turning retention from a cost-center into a profit engine.
AIData AnalysisEcommerceRetention StrategiesProfitability Optimization

Productnation/ispirt

Volunteer

Jul 2022 โ€“ Jan 2025 ยท 2 yrs 6 mos ยท Bengaluru, Karnataka, India

  • Contributed to the design, documentation, and adoption of OCEN 4.0 โ€” India's open protocol to enable interoperable, embedded credit at scale.
  • Part of the core OCEN 4.0 team with focus was on translating policy and product intent into clear technical documentation, specifications, and reference flows that developers and platforms could adopt quickly.
Technical DocumentationPolicy Translation

Sahamati - driving open banking with account aggregator

Volunteer

May 2022 โ€“ Aug 2022 ยท 3 mos ยท Bengaluru, Karnataka, India

Bits pilani work integrated learning programmes

Guest Professor

Nov 2021 โ€“ Present ยท 4 yrs 4 mos ยท Bengaluru, Karnataka, India

  • Guest faculty role based on personal capacity
  • Faculty for BITS WILP (Work Integrated Learning Program), teaching graduate students in the M.Tech. in Data Science & Engineering program
  • Typical classes have about 200 students; the group being pretty diverse and comprising largely of technology professionals.
  • Courses taught: Intro to Data Science, Big data systems
  • Program info: https://bits-pilani-wilp.ac.in/m-tech/cluster/data-science-and-engineering.php
Data ScienceBig Data SystemsTeaching

Uber

3 roles

Engineering Manager, Customer Obsession Team

Mar 2019 โ€“ Jul 2022 ยท 3 yrs 4 mos

  • Strong track record of building and establishing vision for new charters, creating proof-of-concepts, getting stakeholder buy in and building scaling teams to deliver on the vision.
  • Managing engineers and senior engineering leaders across mobile, frontend, backend, data and ML stacks; Growing strong TLs and leaders.
  • Core focus areas:
  • 1) Automation Platform (EATS): Goal of enabling better support experiences, driving down support costs and defects via self-service automation for Delivery verticals. Additionally mobile Eng build/support in-app automation experiences across Rider, Driver, Eater apps.
  • 2) CO Insights: Goal is to transform and serve insights from support data to different teams and stakeholders at Uber by enabling use cases that have realtime /streaming, batch, search and hybrid data needs.
  • 3) CO Content Platform: Power authoring, management and serving of all support content across all LOBs as Help Tree, Help Articles, S4 Screens, Saved Replies, Chat snippets, etc. Additionally, the team also supports in-app surveys (Eg: for Rider, Driver and Eater apps) and user CSAT experiences.
  • 4) Product Insights: Goal is to utilize data from support interactions to reduce product defects and fixing broken support experiences.
Team ManagementAutomationData Insights

Engineering Manager, Communications Platform

Promoted

Jan 2017 โ€“ Mar 2019 ยท 2 yrs 2 mos

  • Led and grew sub-teams with 15+ engineers at different stages with TLs and apprentice EMs.
  • Created team vision towards platformization that enabled higher scale and multiple channels support
  • Built high-scale distributed systems (consume, process and analyze billions of communications related events) and platform products that power all of Uber's marketing needs across different channels such as Email, SMS, Push notifications, In-app messages, etc.
  • Enabled strong stakeholder partnerships resulting in adoption of the platform and migration of 100% marketing comms onto our in-house platform
Distributed SystemsPlatform Development

Senior Software Engineer | Engineering Manager, Risk

Jan 2014 โ€“ Dec 2016 ยท 2 yrs 11 mos

  • Founding member, designed and built fraud management systems from scratch to drastically reduce financial losses and helped scale the team as a senior engineer, tech lead and Eng Manager.
  • Built and evolved several fraud systems from the ground-up - including real-time/offline feature computation and data pipelines, ML model training/actioning systems, real-time rules and decisions engine, automated chargebacks processing pipelines, account review and actioning tools, device id based user identity service, etc.
  • Addressed different types of fraud in the Uber ecosystem - payment fraud, promotions and incentives abuse, account take overs, refunds and appeasements fraud, etc. across different Uber verticals (Rides, Eats, etc)
  • Mentored tens of Engineers and Interns; Championed best practices and guidelines; Defined new processes and helped grow/scale the team from 4 to over 30 engineers.
  • Technologies: Python (Flask), Go, Redis, MySql, Schemaless, S3, Kafka, Celery, Hive, Vertica
Fraud ManagementMachine Learning

Microsoft

Software Engineer, Access Services (Office 2013/Office 365/SharePoint Online)

Jan 2010 โ€“ Jul 2014 ยท 4 yrs 6 mos ยท Redmond, WA

  • Developed several high profile platform/services features involving client server systems, distributed systems, big data analytics, data-center architectures and cloud services with multiple cross-team collaborations.
  • Designed and built a feature to Auto-migrate/Restore Apps between Windows Azure and SPO+SQL Azure based on App activity
  • Developed a real-time telemetry model for measuring and monitoring the service KPIs by mining service usage data using Cosmos/SCOPE (Hadoop/Hive-like map-reduce platform/language)
  • Built Disaster Recovery on top of SQL Azure and other features with deep integration with an evolving large scale, distributed platform such as SharePoint Online (Office 365)
  • Developed Lifecycle management for Apps with a backend on SQL Azure and SQL server
  • Built a multi-platform app-versioning model in a three-tier server architecture with lazy upgrades
  • Designed a secure SQL system schema model for apps with patterns to detect and prevent SQL injection attacks
  • Product group support engineer handling customer and product escalations and real-time production issues. Subject matter expert and driver in product's monitoring, telemetry, standard change management and deployment in production.
  • Peer-mentored newer members of the team; Championed best practices within team
  • Technologies: C#, C++, Windows Azure, SQL Azure, Cosmos/SCOPE, PowerShell, SQL Server
Cloud ServicesBig Data Analytics

University of cincinnati

2 roles

Teaching/Graduate Assistant, Dept. of Computer Science & Engineering Library

Jan 2005 โ€“ Apr 2010 ยท 5 yrs 3 mos ยท Cincinnati, OH

  • Taught several under-grad/grad courses in Algorithms, Networking, Programming and Debugging
  • Taught several workshops for students/faculty on Authoring and Research tools
  • Developed and Maintained the Engineering Library's websites, webservers and IT equipment
  • Technologies: .NET, Java, C++, PERL, Web Development, IIS, Windows, UNIX
TeachingWeb Development

Software Engineer, Organizational Performance Dept.

Jan 2005 โ€“ Sep 2005 ยท 8 mos ยท Cincinnati, OH

  • Developed and maintained the Universityโ€™s feedback management system - "UC is Listening!"
  • Technologies: ASP .NET, VB .NET, SQL Server
Feedback Management

Convergys

Software Engineer, Convergys Billing Solutions & Convergys Rating Development

Jan 2005 โ€“ Sep 2006 ยท 1 yr 8 mos ยท Cincinnati, OH

  • Implemented modules to handle authentication, authorization and accounting of client connections using the industry standard DIAMETER protocol
  • Developed a proprietary billing solution software that creates, modifies and formats client invoices
  • Technologies: C, C++, ASP .NET
Billing Solutions

Education

University of Cincinnati

Doctor of Philosophy (Ph.D.) โ€” Computer Science and Engineering

Jan 2004 โ€“ Jan 2010

University of Madras

Bachelor of Engineering (B.E.) โ€” Computer Science and Engineering

Jan 2000 โ€“ Jan 2004

Stackforce found 100+ more professionals with Ai & Ecommerce

Explore similar profiles based on matching skills and experience