Snehal Nagmote

VP of Engineering

Mountain View, California, United States16 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 15 years of experience in AI data infrastructure.
Expert in building scalable multimodal data platforms.
Proven leadership in globally distributed engineering teams.

Stackforce AI infers this person is a SaaS expert with a strong focus on AI and data infrastructure.

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Skills

Core Skills

Multimodal Data SystemsData Platform ArchitectureOperational EfficiencySystem Reliability & Scalability

Other Skills

Data preprocessingMultimodal data infrastructureFlinkSparkKafkaIcebergData pipelinesClient-side loggingServer-side data processingExperimentation platformsSearch IndexingReal-time streaming pipelineData-driven solutionsApache KafkaApache Spark

About

Senior engineering leader specializing in AI data infrastructure, multimodal data platforms, and large-scale distributed systems . Over 15+ years, I’ve built and scaled streaming, data, and ML platforms powering analytics, search, recommendation systems, and foundation-model data workflows across companies including Apple, Netflix, WalmartLabs, and Intuit. My recent work focuses on multimodal AI systems — building scalable pipelines for processing PDFs, images, video, embeddings, and metadata to support foundation model training, vector search, and ML data curation at scale. I bring a combination of deep distributed systems expertise and hands-on engineering leadership, with experience leading globally distributed teams and driving platform strategy across high-growth, data-intensive organizations. Passionate about building reliable, developer-friendly infrastructure that enables faster innovation, operational excellence, and long-term business impact. Leadership & Management Global Team Leadership · Technical Strategy & Roadmapping · Cross-Functional Collaboration · Coaching & Mentorship · Career Development · Program & Project Management · Stakeholder Communication · Organizational Scaling · Hiring & Team Building Domain Strengths Image & Video Data Processing for GenAI · Multimodal Data Systems · Real-Time Event Streaming · Data Platform Architecture · System Reliability & Scalability · Developer Experience · Operational Efficiency

Experience

16 yrs 6 mos

Total Experience

2 yrs

Average Tenure

5 yrs 3 mos

Current Experience

Apple

Senior Software Engineering Manager (AI/ML)

Mar 2021 – Present · 5 yrs 3 mos

Multimodal data Infra for Apple Foundation Model
Data preprocessing (large scale ingestion, embeddings and feature generation, feature serving) for multimodal (Videos/Images, PDFs)) pre training + SFT
Data Ingestion and Platform for Instrumentation data
Built and drove adoption for Dataset development platform to process instrumentation data to build core datasets using Flink, Spark, Kafka, Iceberg for AI/ML products SIRI, Search, Vision pro.
Tooling and frameworks to support Large scale data processing, Data Quality, Data Governance

Data preprocessingMultimodal data infrastructureFlinkSparkKafkaIceberg+2

Netflix

Data @Netflix

Apr 2018 – Mar 2021 · 2 yrs 11 mos

Led development of large-scale end-to-end data pipelines at Netflix, optimizing client-side logging for personalization, server side data processing and experimentation platforms. Led cross-functional efforts across 50+ stakeholders to enhance logging and platform efficiency, data quality, and query simplification.
Speaking Engagements :
https://www.ververica.com/blog/flink-forward-session-preview-massive-scale-data-processing-at-netflix

Data pipelinesClient-side loggingServer-side data processingExperimentation platformsData Platform ArchitectureOperational Efficiency

Walmartlabs

TLM/Sr Staff Engineer

Nov 2014 – Apr 2018 · 3 yrs 5 mos

Lead design and development efforts for Search Indexing.
Designed and implemented scalable and fault tolerant realtime streaming pipeline which indexes millions of product data for walmart.com.
Work with product managers and business teams to understand the business problems and develop data-driven solution .
Designed and implemented realtime streaming pipeline which processes store availability data to facilitate online shopping experience.
Technology Used : Apache Kafka, Apache Spark, Spark Streaming, Java, Hadoop, Hive, Kafka Streams, Apache Cassandra
Speaking Engagements :
Spark Summit 2017
Women who Code Sunnyvale

Search IndexingReal-time streaming pipelineData-driven solutionsApache KafkaApache SparkHadoop+2

Kixeye

Lead Engineer

Sep 2013 – Nov 2014 · 1 yr 2 mos

Built log ingestion and data processing platform for downstream analytics requirements.
Technology Used: Apache Kafka, Camus, Hive, Flume, Azkaban, Play Framework

Log ingestionData processing platformApache KafkaHiveFlume

Intuit

Tech Lead Manager

Apr 2012 – Sep 2013 · 1 yr 5 mos · San Francisco Bay Area

Designed and developed Realtime ad tracking analytics Platform using Cassandra.
Designed and developed Data Pipeline which would be used in real-time and offline analytics.
Designed platform for serving realtime business and review information for Syndication with Yelp.

Real-time ad trackingData pipelineCassandraData Platform ArchitectureOperational Efficiency

Jpmorgan chase

Lead Software Engineer

Nov 2011 – May 2012 · 6 mos · Columbus, Ohio Area

Data Analysis/Mining and warehousing on large sets of data.
Design and Implement backend for Data Visualization platform using Hadoop/Hbase.
Real time data access patterns and optimizations for Data Visualizations on big data using Hadoop, HBase, Hive and Pig.

Data analysisData warehousingHadoopHBaseHive

Goldman sachs

Software Engineer

Jun 2010 – May 2011 · 11 mos

Developed an orchestration Engine which was scoped across the provisioning life cycle of technology infrastructure products and services for data center. (JBPM, OSGI, Java, OpenNabula).

Orchestration engineJBPMJava