Hello
Sourav Prakash Nayak

Sourav Nayak

Passionate Gen AI and Web Developer & Designer crafting seamless, responsive, and user-centric digital experiences.

About me

Professional Summary

Results-driven Senior Software Engineer with 18 years of experience building scalable, user-centric platforms and shared infrastructure for large-scale data and consumer applications. Expertise in designing and maintaining React/TypeScript-based systems, including monorepos, Micro-Frontends, and developer tooling that accelerate team velocity. Proven track record using AI (particularly Claude) to enhance code review, observability, deployment pipelines, and internal agentic workflows—reducing engineering friction and on-call burden. Passionate about observability, performance, reliability, and creating intuitive abstractions that empower cross-functional teams.

Skills

Next.js 15React 19TypeScriptHTMLCSSTailwind CSSBFFGraphQLApolloModule FederationExpressRESTfulClaude CodePrompt EngineeringMCPAgent HarnessingOrchestrationRAGCI/CDSpinnakerDockerKubernetesVercelGitHub

Certifications

Certified Scrum MasterCertified Scrum Master
Certified Kubernetes Application DeveloperCertified Kubernetes Application Developer
Lean 6 Sigma Black BeltLean 6 Sigma Black Belt
Lean 6 Sigma Green BeltLean 6 Sigma Green Belt
Lean 6 Sigma Yellow BeltLean 6 Sigma Yellow Belt

Professional Experience

Apple Inc.

Frontend Developer (with AI)

2024 — Present
  • Enhanced AI-assisted development workflows by integrating Claude Code plugins into pre-commit and PR processes, incorporating automated linting, vulnerability scanning, unit tests, and silent failure detection—completing full checks in under 5 minutes and significantly boosting developer velocity.
  • Built a search agent using Claude, vector embeddings, and Slack integration to query documentation and historical resolutions, reducing weekly on-call time for engineers by 65%
  • Developed an AI Assistant agent with human-in-the-loop verification for provisioning clusters, accounts, catalogs, and services, streamlining operational tasks.
  • Created a scribe agent (side project) that transcribes and categorizes Webex meeting audio into structured weekly reports with progress and blockers, achieving ~90% accuracy across varied meeting conditions through iterative human feedback.
  • Automated access-granting workflows using Claude and MCP, improving security and efficiency with oversight mechanisms.
ReactNext.jsTypeScriptTailwind CSSShadcn/UIClaude codeVibe CodingMCPAgent HarnessVector DB

Apple Inc.

Frontend Developer

2018 — 2024
  • Designed, developed, and maintained a monorepo-based data platform using React, Express, GraphQL,TypeScript, and Webpack, enabling service teams to efficiently deploy and manage services and users.
  • Led migration to a Micro-Frontend architecture with Apollo Module Federation, reducing deployment times by ~50% and improving team independence.
  • Built an anomaly detection dashboard for iCloud device usage, incorporating ML-driven insights to identify malicious activity, fraud (~600K accounts captured), user adoption, and churn. Achieved ~92% learning accuracy and 95% churn prediction accuracy for new iOS users.
  • Contributed to a Scala-based Anomaly service daemon that runs time-series ML models on live data stores, delivering notifications for critical KPIs used by Content SREs and ML Engineers.
JavaScriptReactNext.jsTypeScriptCSSSentryGraphQLApolloModule FederationExpress ServerRESTFulBFFKubernetesDocker

Apple Inc.

Big Data Engineer/Scientist

2014 — 2018
  • Developed the end-to-end ETL framework for Apple Pay analytics, which led to many valuable insights and decisions in the early days following Apple Pay Launch.
  • Lead the Hadoop data analytics team of Apple iCloud Reporting Project
  • Analyzed usage patterns and behavior meticulously, to discover potential areas of improvement in iCloud Services and factors responsible for Users churning out
  • Developed the iCloud Reporting Automation Framework using Map-Reduce in Java, Pig-Latin and shell, which processed Terabytes of data in minutes

Machine Learning

  • Developed and executed machine learning models on top of big data (HDFS and Hive) using SparkML and Scala pipeline
  • Developed classification model to predict free user conversion to paid using Logistic Regression and Random Forest
  • Developed Time Series forecasting on new users using Python and Statsmodel package
HadoopHiveNoSQLPig LatinMap ReduceData AnalyticsData EngineeringBusiness InsightsMLTime SeriesS/ARIMA/XScalaSparkPythonStatsmodel

Infosys Technologies Ltd.

Technology Analyst/Lead

2008 — 2014
  • Spearheaded the migration of Business Analytics platform from OpenSource based ETL to Big Data, as part of MobileMe to iCloud migration.
  • Introduced Big Data processing Technologies in anticipation of the growing volume of data in service usage
  • Integral part of designing, developing, testing and maintaining automation scripts for data analytics and reporting for iCloud suite of services
HadoopBig TableOracle PL/SQLUnixPerlHiveETL PipelinesKPI Generation

Get in Touch

I’m based in the beautiful San Francisco Bay Area and always happy to connect.

Love collaborating on cool projects, brainstorming fresh ideas, or simply grabbing a virtual coffee to chat.

Drop me a message and say hello — I’d love to hear from you!

✉️

Email

sourav@souravnayak.com

☕
📍

Location

San Francisco Bay Area, CA (Remote Available)

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