Mayuresh Anand

Building Scalable Tech Solutions | Ex Inspire Fellow | US Patent Holder

Canada

500+ connections

Updated 8 months ago

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16+

Years Experience

Roles

Skills

Education

About

With over a decade of experience in backend, full-stack development, and cloud infrastructure, I specialize in building scalable distributed systems, event-driven architectures, and real-time applications. My technical background spans Golang, Python, Node.js, and React, alongside cloud-native development on AWS with infrastructure-as-code using Terraform and Docker. I excel in environments that value clean architecture, continuous delivery, and system resilience. In addition to hands-on engineering, I have led initiatives to improve developer productivity, optimize CI/CD pipelines, and migrate teams toward secure, scalable cloud infrastructures. I am passionate about mentoring engineers, fostering cross-team collaboration, and aligning technical execution with product vision to deliver impactful solutions at scale. Technical Expertise: Languages: Golang, Python, JavaScript, TypeScript, Java Cloud Platforms: AWS, Azure, GCP DevOps Tools: Terraform, Docker, Kubernetes, CI/CD Pipelines Frameworks: ReactJS, NodeJS, ExpressJS, Django, FastAPI

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Experience (16 roles)

Software Engineer (SDE II)

GRAIL, Inc. · Full-time

Nov 2021 - Nov 2024 · 3 yrs 1 mo·Menlo Park, California, United States

* Created a comprehensive job tracking system in Golang and Java that transformed response times from 4+ hours to real-time notifications, increasing user satisfaction. * Developed and implemented a real-time permission system in Golang, reducing API and UI permission update time from 14 days to ins...

1 yr 1 mo

2 roles · Jan 2021 - Sep 2021

Teaching Assistant - CPMSC 8

Jun 2021 - Sep 2021 · 4 mos·Santa Barbara County, California, United States

Graduate Student Researcher

Jan 2021 - Jun 2021 · 6 mos·Santa Barbara County, California, United States

Working on extraction of causal relations from unstructured natural language texts. We want to enhance the SOTA by being able to extract causal relations among inter-sentences. This is an extension of work already published while intern at Accenuture. Composite Re-Ranking for Efficient Document Sear...

Software Engineer

Stezy · Contract

Nov 2020 - Jul 2021 · 9 mos·India

Designed and developed * logic for managing user permissions across the platform, communication among different organization user and inter-organization users using web-sockets * backend infrastructure to automate integration of user’s personal cloud on AWS, Azure, and GCP using Terraform Cloud, re...

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Education (4)

UC Santa Barbara

Sep 2019 - Sep 2021

Activities and societies: WiCS CMPSC 293B Cloud Computing: A CMPSC 271 Advanced Distributed System: A CMPSC 279 Advanced Topics in Security : A CMPSC 293S Advanced Compiler Optimization: A+ CMPSC 293S Information Retrieval and Web Search: A+ PSTAT 274 Time Series A CMPSC 291A Scalable Internet Services CMPSC 291K Machine Learning & Deep Learning CMPSC 235 Computational Geometry CMPSC 292G Advanced Cryptography PSTAT 276 Advanced Financial Math Skills: Distributed Systems · Software Engineering · Cloud Computing · Machine Learning · Computer Networking · Cybersecurity MASTER OF SCIENCE from University of California Santa Barbara

Lady Anusuya Singhania Educational Academy

Queen of Angel's Convent High School

Skills (49)

Backend

Node.jsPythonJava

Database

SQLMongoDBMySQL

Frontend

JavaScript

Other

StrategyLarge-scale Data AnalysisGolangBashREST APIsGo (Programming Language)CybersecuritySoftware EngineeringCadence SoftwareChange ManagementProject ManagementBackendCross-functional Team LeadershipCloudAWSAzureTerraformNode.jsEthereumKubernetesReactMaterial UIJavaHTML5CSS3SonarQubeMySQLPythonNginxPandasMatplotlibCloudCloudReactAWSTerraformDockerTypeScriptAzureKubernetesDjangoFastAPI

Certifications (4)▼

Neural Networks and Deep Learning

Coursera

Structuring Machine Learning Projects

Coursera

Verified International Academic Qualifications

World Education Services

Trading Algorithm

Coursera

Publications (3)▼

Causal-BERT: Language models for causality detection between events expressed in text

Computing Conference 21

Post-quantum Security of the CBC, CFB, OFB, CTR, and XTS Modes of Operation

Springer: PqCrypto 2016 · Feb 1, 2016

Utilizing machine learning models and in-domain and out-of-domain data distribution to predict a causality relationship between events expressed in natural language text

Oct 24, 2023

Languages (5)▼

Maithili(Native or bilingual proficiency)French(Elementary proficiency)Hindi(Native or bilingual proficiency)Gujarati(Professional working proficiency)English(Native or bilingual proficiency)