Pranav Sethi — CEO

Seasoned Senior Manager specializing in client-facing Data Science, Artificial Intelligence, and Data Product deliveries. Expert in architecting and leading enterprise-wide platforms that power multi-business unit solutions, including Agentic AI at Walmart scale impacting 2.3M associates and 2B+ customers. Key Platforms & Achievements Agentic AI Solutions: Leading cross-functional teams of full-stack engineers, data scientists, ML engineers, and platform engineers to deliver end-to-end Agentic AI platforms serving massive scale. Automated MLOps & Data Science Platforms: Hosted 50+ Data Science products with 10+ blueprints for batch/realtime inferencing, Feature Store, SparkML, and more. Cognitive AI Platforms: Delivered 3+ client-facing GenAI solutions plus multi-cloud experiments in Speech, Vision, and Generative AI models. Petabyte-Scale Data Lakehouse: Managed 1000+ datasets across 10+ business units, enabling 100+ derived product solutions. Proficient in hybrid cloud transformations as Senior Full AWS Stack Technical Architect, leveraging NoSQL, Machine Learning, and AI for innovative multi-business unit deliveries. Connect: pranset@gmail.com | +91 9999103313

Stackforce AI infers this person is a seasoned AI and Data Science leader specializing in enterprise solutions.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 5 mos

Skills

Artificial Intelligence (ai)
Data Science
Generative Ai
Machine Learning

Career Highlights

Led AI solutions impacting 2.3M associates at Walmart.
Architected enterprise platforms for massive scale.
Expert in hybrid cloud transformations and data science.

Work Experience

Walmart Global Tech

Senior Manager - AI Engineering and Data Science (1 yr 8 mos)

Pitney Bowes

Manager, Data Science | Machine Learning | Big Data | Cloud | Generative AI (8 mos)

Associate Manager | Principal Architect Machine Learning and Big Data (1 yr 9 mos)

Senior Advisory Lead - Machine Learning Engineering (1 yr 5 mos)

Advisory Software Engineer (Senior Tech Lead) - Data and Ml Platform (2 yrs)

Amazon Web Services (AWS)

Senior Engineer - Big Data and Machine Learning (1 yr 5 mos)

Big Data and ML Engineer (1 yr 6 mos)

Pitney Bowes

Senior Software Engineer - Big Data and ML (1 yr)

Cognizant

SDE 2 - Research Engineer - Data and Data Science (1 yr 6 mos)

Aon Hewitt

SDE 1 (1 yr 1 mo)

Education

Master of Technology - MTech at Birla Institute of Technology and Science, Pilani

PG Certification Program in Data Science and AI at Indian Institute of Technology, Roorkee

B.Tech at Hindu College of Engineering

High School at MJKPS , Cbse Delhi

Pranav Sethi

CEO

Bengaluru, Karnataka, India13 yrs 5 mos experience

Highly StableAI ML Practitioner

Key Highlights

Led AI solutions impacting 2.3M associates at Walmart.
Architected enterprise platforms for massive scale.
Expert in hybrid cloud transformations and data science.

Stackforce AI infers this person is a seasoned AI and Data Science leader specializing in enterprise solutions.

Contact

pranav.sethi@walmart.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Data ScienceGenerative AiMachine Learning

Other Skills

A2AAWS LambdaAWS SageMakerAgentic AIAlgorithmsAmazon RedshiftAmazon Web Services (AWS)Apache KafkaApache PigApache SparkBig DataBig Data AnalyticsCC++CUDA

About

Experience

13 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 8 mos

Current Experience

Walmart global tech

Senior Manager - AI Engineering and Data Science

Oct 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

Directing high-impact AI deliveries for Walmart's massive ecosystem, collaborating cross-functionally with legal, compliance, budget, and executives to power agentic experiences for millions of associates and customers.
Contact Center AI Platform
Built zero-to-one Voice AI solution handling 1.6M+ annual callers with real-time agentic routing and self-service actions.
Unified platform across all domains featuring 10+ low-latency voice agents for seamless self-service.
Modular architecture including MCP (Multi-Cloud Platform), A2A (Agent-to-Agent) orchestration, RAG pipelines, and scalable inference engines.
MyAssistant GenAI Platform
Internal GenAI-powered assistant in Me@Campus super app, transforming work for 2.2M+ U.S. associates via drafting, creative support, document summarization, and AI actions.
Frees associates from repetitive tasks to focus on customer innovation, with integrated career, benefits, and workplace tools.
Ensures responsible deployment through legal/compliance alignment, budget optimization, and executive stakeholder management for data privacy and scalability.

Fine TuningMCPData ScienceRetrieval-Augmented Generation (RAG)Agentic AIGenerative AI+15

Pitney bowes

4 roles

Manager, Data Science | Machine Learning | Big Data | Cloud | Generative AI

Feb 2024 – Oct 2024 · 8 mos

Data and AI Leader | Generative AI and Machine Learning Platform | Client Facing Products - AI and Data Solutions | Engineering Evangelist| Data Lake and Lakehouse Platform | Cloud | Platform | Architectures | Machine Learning | Generative AI | AI Platform | Deep Learning
Unified Access Platform- AI Platform at Scale - Led 0 to 1 Enterprise wide AI Platform -
Experiment tracking, Batch and Realtime training and inferencing with Petabyte scale Data Lake
Computer Vision Models on IOT Devices with CUDA optimisation at n warehouses

Big DataMCPData ScienceRetrieval-Augmented Generation (RAG)Generative AIMicrosoft Azure+20

Associate Manager | Principal Architect Machine Learning and Big Data

Promoted

Aug 2022 – May 2024 · 1 yr 9 mos

All things Data and Data Science !!

Big DataMCPData ScienceSnowflake CloudLeadershipKubernetes+10

Senior Advisory Lead - Machine Learning Engineering

Mar 2021 – Aug 2022 · 1 yr 5 mos

Enterprise Data Quality Framework
Lakehouse Platform - Snowflake , Select Star , S3
Enterprise Data Pipelines - Big Data Curations , Realtime , Batch
Data Science Solutions - Natural Language , Time Series , Multi Class Classifications , Statistical Inferences
Machine Learning Platform - Batch Predictions and Realtime Inferencing API’s

KubernetesTransformers

Advisory Software Engineer (Senior Tech Lead) - Data and Ml Platform

Mar 2019 – Mar 2021 · 2 yrs

Petabyte scale Realtime and Batch Enterprise Data Platform supporting all business units
Unified Machine Learning Platform for all Business Units

Transformers

Amazon web services (aws)

2 roles

Senior Engineer - Big Data and Machine Learning

Feb 2018 – Jul 2019 · 1 yr 5 mos · Ireland

Big Data and ML Engineer

Aug 2016 – Feb 2018 · 1 yr 6 mos · Ireland

Big-data and Machine learning specialist, assisting some of the biggest Big-data and ML users across the globe and external customers as they build mission-critical applications on top of AWS services.
Real-time and Batch Machine learning Platform for security intelligence
Process, Developing and transforming data using Amazon Machine Learning ( Now Sagemaker) , Recommendation systems ,Hadoop/EMR, DynamoDB, HBase, Data pipeline, Kinesis, Machine Learning and other tools in the Hadoop ecosystem like Hive, Pig, Spark, sqoop, Tez among others.

Pitney bowes

Senior Software Engineer - Big Data and ML

Aug 2015 – Aug 2016 · 1 yr · Noida Area, India

Big Data Platform Architecture | Product Development | AWS Hosted Solutions | Statistical Analysis | Machine Learning

Cognizant

SDE 2 - Research Engineer - Data and Data Science

Feb 2014 – Aug 2015 · 1 yr 6 mos · Coimbatore Area, India

Senior Research Engineer
Regression Models hosting using Java based frameworks
Migrating existing Mainframe Jobs/Data to Hadoop HDFS Map-Reduce architecture using Pig , Oozie , Java and Linux Script
Open source contributor to MapReduce Framework
Working for Analytic Client Dun and Bradstreet or huge Data sets for requirement of the essential modification and Manipulation as per cost effective leveraging Revenue generation
Big Data Platforms organization, that enables Big Data and batch/real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, HBase, Pig,Oozie etc to deliver innovative solutions across multiple business units .
Using Cloudera Distribution CDH 4.x for leveraging HDFS technologies
Administrating Hadoop clusters

Aon hewitt

SDE 1

Dec 2012 – Jan 2014 · 1 yr 1 mo · Noida Area, India

Competent and result oriented Software Professional with Analytic Skill set.
Big Data Technologies - Hadoop , Map Reduce to process Large Data Sets .
Databases: SQL Server Database and Oracle
Handling production deployment and support for both windows and web based applications developed on technologies such as JAVA, Small talk
Experience in JUnit, Functional, Integration, Regression & System Testing.
Well-versed with all stages of Software Development Life Cycle (SDLC) ,Scrum, Creating User Stories and Test Plans, Release and Sprint Planning
System : Win XP/2000, Window 7Database : SQL, IBM DB2, : HTML, XMLTesting Tools : Quick Test Pro 10.0, Quality Centre 10.0Software Used : Mainframe Lotus NotesDefect Tracking Tools : HPQC, JIRA, MaestroOffice : Excel, Word, PowerPoint, OutlookTechnical Environment : C++, Java, Visual Basic, knowledge of VB Script