Priyank M.

Senior Software Engineer

Los Gatos, California, United States21 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in designing scalable distributed systems.
Led impactful projects at Netflix and Cohesity.
Strong background in cloud infrastructure and microservices.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Media industries.

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Skills

Core Skills

Distributed SystemsCloud ComputingSoftware DesignBackendAngel InvestingCloud StorageB2c E-commerceSoftware DevelopmentSoftware Engineering

Other Skills

Software InfrastructureJavaMachine LearningAmazon Web Services (AWS)React.jsTypeScriptgRPCAWS Aurora PostgresKafkaPythonRisk AssessmentFinancial AnalysisSystem ArchitectureData ManagementHybrid Cloud

About

As a Senior Software Engineer at Netflix with over nine years of experience, I specialize in designing and implementing scalable distributed systems, micro-services, and backend infrastructure. Collaborating with the multiple teams, I have contributed to building robust platforms that power customer facing and critical business services. My work also includes designing core micro-services using GraphQL, gRPC, and REST frameworks. With a focus on reliability and scale, I’ve led initiatives such as the Media Analysis Service, enabling media engineers to manage and reuse critical data. My expertise in AWS Cloud infrastructure has supported delivering impactful solutions. I thrive in environments where technical leadership and innovative problem-solving intersect, driving systems that address complex business challenges.

Experience

21 yrs 5 mos

Total Experience

5 yrs 5 mos

Average Tenure

11 yrs 9 mos

Current Experience

Netflix

Senior Software Engineer

May 2016 – Present · 10 yrs 1 mo · Los Gatos, CA

Responsible for designing and implementing a Self-Serve Messaging Platform with a growing numbers of server driven configurable modules to deliver emails, push with a variety of experience to Netflix customers and partners.
Built a system to parse, analyze and gain insights from the Screenplay Script to help many critical business use cases for Netflix Production Studios.
Design and implementation of Studio Productions space core micro-services based on GraphQL, gRPC, and REST frameworks.
Led a team of three engineers for the first release for Netflix Media Analysis Service for Media Engineers to write and reuse Media Analysis data and manage the analysis data dependencies.
Led the design and implementation of the data model and micro-services with team of four engineers for the core business entities related to Netflix Studio workflows, shared across many Studio applications using gRPC framework, AWS Aurora Postgres, jOOQ and Java.
Led the design and implementation for the backend micro-service using gRPC for the MVP launch of Netflix Partners Portal with a team of three engineers.
Led the implementation of many core features, such as upload, download, search of digital assets, for an in-house Digital Assets Management system used to store millions of Netflix Content Marketing Campaigns Assets using Kotlin, MySQL RDS, Spring Boot, and ElasticSearch.
Led the design and implementation of a new content budget forecast microservice using Kafka data pipeline for our Content Finance team which made a 10x reduction in overall processing time, from a couple of hours to a few minutes, for an existing sequential calculation implementation. Built the test automation in Python to exhaustively compare new vs old calculations.
Led many cross-functional projects from conception to delivery spanning both backend and frontend with huge business impact on many great greenfield opportunities in Studio Technologies and AdTech Engineering teams.

Software InfrastructureSoftware DesignJavaMachine LearningDistributed SystemsBackend+4

Self-employed

Angel Investor

Sep 2014 – Present · 11 yrs 9 mos · San Francisco Bay Area

Angel InvestingRisk AssessmentFinancial Analysis

Cohesity

Founding Engineer

Jan 2014 – Jan 2016 · 2 yrs · San Francisco Bay Area

As one of the early engineers at Cohesity, I get to work on many core services of Hyper-convereged Secondary Storage platform by Cohesity.
Part of the core data archival team responsible for platform features related to long-term retention of the "cold data" in Cohesity cluster.
Design and implementation of components in C++11/Go to support Data Archival feature.
Implemented many public, private Cloud connectors in C++11 to migrate cold data to Cloud.
RESTful APIs development using Google Go programming language and Protobufs to support many features for Cohesity data platform, mainly:
i. Cluster Usage, Performance, Data Protection and Storage Analytics reports.
ii. Analytics Workbench to support native map-reduce applications for gaining insights from "dark data".
iii. Cluster management & monitoring related operations.
Design and implementation of a modular and extensible Command Line Interface (CLI) framework
in Go to add new commands for various operations related to Cohesity platform. CLI has many advanced features like: Command Auto-completion, 'less' style pagination of multi-page outputs, rule-based command input params validation, in-built hierarchical commands help for easy CLI documentation.
Helped in hiring for the following roles: MTS, Product Management, UX/Visual Designer, Technical Writer. Participated in multiple technical design reviews, code reviews, UX/Visual mocks review.

Software InfrastructureSystem ArchitectureDistributed SystemsData ManagementCloud StorageHybrid Cloud+2

Netflix

Senior Software Engineer

Jan 2011 – Jan 2014 · 3 yrs · Los Gatos, CA

Founding member of the Programmatic Display Advertising Engineering team at Netflix
Leverage Real-time Bidding based optimizations to minimize cost and maximize ROI
Setting up data pipeline for running business critical analytics for Display Advertising
Design and implementation of infrastructure and tools to support various Marketing team needs
Data migration and re-architecture of Netflix eCommerce service components from data center to the AWS leveraged cloud platform
RESTful APIs development to support many eCommerce use-cases at Netflix

JavaMachine LearningSoftware DesignCloud ComputingCloud ApplicationsData Centers+1

Nimblecommerce (acquired by blackhawk network)

Founding Engineer

Jan 2008 – Jan 2011 · 3 yrs · Santa Clara

Founding engineer of the IMshopping US team. I designed and implemented several core components of the two main social commerce products launched by IMshopping.
1. NimbleCommerce (White Label Group Buying SaaS platform for Local Publishers in both Offline/Online commerce)
2. IMShopping (Q&A service targeting online shoppers needs)
Key projects related to NimbleCommerce and IMshopping:
Architected and managed the NimbleCommerce Affiliate program to help drive more targeted traffic from high trafficked partner affiliates to the white labeled "Group Buying" sites of our clients
Designed and implemented several social media promotion engine components supported by our white label group buying platform e.g. auto-publishing on Facebook, Twitter, Dynamic customizable Ad widgets, Smart affiliated links
Architected and implemented user tracking and reporting of various referral traffic channels for lead generations and conversion for registrations and sales
Architected and implemented our proprietary URL-shortening service (nmb.ly) for various social media channels
Architected and implemented the REST APIs to serve the requirements of our clients using our group buying platform
Major contribution to the design and implementation of our generic and very flexible Auth API based client framework to support true white label service for our clients with their own version of Auth API server implementation

JavaPythonJavaScriptAmazon Web Services (AWS)Sentiment AnalysisData Mining+3

Google

Software Engineer and Software Engineer Internship

Jan 2005 – Jan 2008 · 3 yrs · Mountain View, California

Modularized Google Ads codebase to improve scalability and maintainability, supporting the platform’s growth to billions of Ads impressions daily.
Designed & implemented monitoring and alerting systems to safeguard advertiser budget’s logic and contributed to infrastructure enhancements for global market expansion.
Helped with growing the team with right talent.

C++PythonJavaMySQLSoftware Engineering