Neera Mital

Director of Engineering

San Jose, California, United States11 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven track record in leading product development teams.
Expertise in cloud computing and distributed systems.
Strong background in machine learning infrastructure.

Stackforce AI infers this person is a Cloud Computing and SaaS expert with a focus on infrastructure and machine learning.

Contact

Skills

Core Skills

DatabasesCloud ComputingInfrastructureBig Data

Other Skills

SecuritySoftware as a Service (SaaS)Real-time stream processingInference at ScaleQuery OptimizationSoftware DevelopmentDistributed SystemsMobile DevicesSoftware EngineeringDebuggingTelecommunicationsDesign PatternsProject ManagementEnterprise ArchitectureVirtualization

About

Seasoned technologist with diverse experience in multiple technologies and domains ranging across Distributed Systems, Machine Learning / AI infrastructure and Storage Software. Successfully lead fast paced Development teams in highly innovative and business critical engineering projects. Proven track record of leading product development teams through complete product life cycles. Creative, results-oriented with a collaborative management style.

Experience

Google

Senior Eng Manager

Jan 2021 – Present · 5 yrs 2 mos · San Francisco Bay Area

Spanner SQL Query Processing

SecuritySoftware as a Service (SaaS)DatabasesCloud Computing

Microsoft

2 roles

Group Eng Manager

Jan 2019 – Jan 2021 · 2 yrs

Infrastructure

Principal Software Engineering Lead

Jan 2015 – Jan 2018 · 3 yrs · Greater Seattle Area

My Analytics provides a rich, interactive dashboard and in context cards with insights into collaboration metrics like reach, influence, and work-life balance. Individual can monitor their engagement with both internal and external teams and offer insights about their work life like email reach and meeting focus.
This requires processing the office graph and signals at scale to compute these insights.
I am part of the core infrastructure team which is responsible for providing framework for processing signals and mining insights at Office 365 scale.
Key Technologies
Office graph, exchange shard processing.
Big Data: Microsoft Map Reduce cluster (COSMOS), Azure data lake
Cloud Computing: Document DB(Cosmos DB), Azure Cloud services, Azure Event Hub
Real time stream processing: Azure stream analytics