Chandini Velilani

Software Engineer

San Francisco, California, United States4 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in building scalable systems and architectures.
  • Proven track record in machine learning applications.
  • Strong leadership and collaboration skills across teams.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in machine learning and cloud technologies.

Contact

Skills

Core Skills

MicroservicesAwsLeadershipEvent-driven ArchitectureData AnalysisMachine LearningData Engineering

Other Skills

Model DeploymentApplied Machine LearningPythonProduct DevelopmentSoftware IntegrationApache SparkSoftware TestingData ProcessingWeb ServicesPySparkStatistical Data AnalysisInterpersonal CommunicationAWS AI SuiteProduct ManagementPython 3

About

Software Engineer with proven experience working across the Software Development Lifecycle. Expertise in building scalable systems, event-driven architectures, and stateful services. Effective collaborator across cross functional teams contributing to end-to-end product refinements

Experience

4 yrs 10 mos
Total Experience
1 yr 2 mos
Average Tenure
1 yr 11 mos
Current Experience

Amazon music

2 roles

Software Engineer

Jun 2024Present · 1 yr 11 mos · San Francisco Bay Area · On-site

  • * Development of features to enhance profile experience and user retention.
MicroservicesModel DeploymentApplied Machine LearningPythonProduct DevelopmentSoftware Integration+28

SDE Intern

May 2023Aug 2023 · 3 mos · Sunnyvale, California, United States

  • Designed event-driven orchestration system to process Alexa voice signup failures and drive rule-based email workflows.
  • Implemented personalized email templates, linking session-aware data to reduce customer churn.
Event-Driven ArchitectureSystems DesignAmazon Web Services (AWS)AWS

University of southern california - marshall school of business

Graduate Research Assistant

May 2022May 2023 · 1 yr · Los Angeles, California, United States

  • Applied ML to identify critical twitter tweets and distinguish user vs bot profiles for actionable insights.
  • Performed large-scale data analysis using Python, Pandas, and GPU acceleration to generate insights for research publications
Statistical Data AnalysisSentiment AnalysisPythonData AnalysisMachine Learning

University of southern california

Graduate Student Ambassador

Apr 2022Dec 2023 · 1 yr 8 mos

  • * Advising prospective graduate applicants through online chats and recruitment activities.
LeadershipInterpersonal Communication

Skellam ai

Data Science Engineer

Jul 2021Nov 2021 · 4 mos

  • Built and optimized Spark-based ETL and recommendation systems for Starbucks Deep Brew platform serving 20M customers and driving $100M+ annual revenue.
  • Improved hierarchical recommendation logic, boosting targeted recommendations and engagement.
Extract, Transform, Load (ETL)PySparkData Engineering

Sabre corporation

2 roles

Associate Software Engineer

Aug 2018Jun 2020 · 1 yr 10 mos

  • Built services for Sabre NDC to migrate legacy ticketing systems to distributed cloud platforms.
  • Designed API to decouple key ticketing monoliths into microservices, cutting production traffic by 70%.
Web ServicesAPI DevelopmentDistributed SystemsMicroservices

Software Engineer Intern

Jan 2018Jul 2018 · 6 mos

  • * Built parsing and validation tools to transform structured airline responses improving data integrity and reducing QA efforts.
Data ProcessingSoftware TestingMicroservices

Adobe

Product Research Intern

May 2017Aug 2017 · 3 mos · Bangalore

  • * Designed email fatigue detection system for Adobe Cloud using Prefix Span on a distributed AWS Spark cluster to predict email opt-outs.
Machine LearningData AnalysisApache SparkPython

Education

University of Southern California

Master's degree — Computer Science

PES University

Bachelor’s Degree — Computer Science [Specialization: Data Science]

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