Chetan G. is a senior backend/software engineer with ~9 years of experience across PayPay Corporation, Vlabs.ai, Amazon Development Center, and Samsung Research Institute, specializing in software design and development, algorithms, data structures and algorithms, system design, and architecture; he has led teams, driven microservices integrations (including Taiwan provider Hivex and PayPay Bank), built remote monitoring and home quarantine tracking systems, delivered Amazon’s Product Advertising APIs, and developed ASR… Show more

1. Senior Backend Engineer

   PayPay CorporationAug 2022 — Present

   • Contributed to development of 15+ microservices in Spring Boot & Kotlin
   • Facilitated integration of PayPay with PayPay Bank for consumer payout transactions
   • Designed and deployed over 7+ reconciliation jobs to validate data integrity
   • Led technical discussions and finalized PRDs for over 15+ features/projects
   • Provided backend estimates, participated in backend design, and drove implementation of core functionalities
   • Conducted various system design discussions with internal teams and stakeholders
   • Managed a team of 4-5 in development, integration, and testing activities
   • Handle end-to-end design and development of diverse payment features across various teams.

   Spring BootKotlinJavaAWSS3BigQueryEC2AuroramySQLSQLGitGithubRDSKMSRedisNewRelicKibanaOpenSearchGrafanaPrometheousJenkinsJIRADockerKubernetesSpring Data JPASpring CloudSpring KafkaApache KafkaVegetaJunitMockitoGatlingHibernatemyBatisKarateShellIntellijVSCodeFigmaMiroArgoCDApache AirflowAirflowSlackPythonunix/Shell scriptAthenagrpcRESTCaffieneSystem designArchitect
2. Research Staff Member

   Vlabs.aiSep 2019 — Aug 2022

   • Remote Monitoring Solution - Aim is to remotely monitor system users with the use of Face Recognition technology. Able to trace the time spent by users on systems. Solution should be robust enough to logoff the system automatically in case of unauthorized users’ presence. Solution has been commercially deployed and serves 10K+ customers without any issue. Led team of 3-4 engineers for developing this solution. Reported 500+ violations within the first 2 weeks of the deployment. Used Python, TinyDB, NodeJS, MySQL to design the solution. Managed our on-premise servers for hosting the solutions.
   • Solvency Financial Reports Analysis - Automatically extract the defined set of parameters from the PDF report. Typical, report length was of around 200 pages, and report data was highly unstructured. Developed various AI/non-AI based modules as part of the solution. Led team of 3-4 engineers for developing this solution.
   • Home Quarantine Tracking System (HQTS) - Aim is to effectively trace the Home Quarantined people and raise alerts to the Police control room in case of violations. The solution has been commercially deployed to Maharashtra Police and served >~10K users. We integrated and used GPS information to validate the quarantined people location constraint. Reported multiple violations from the people to the police.
   • Tickets/Issue Classification - Aim was to design the issue classification system. Tried various text representation-based approaches and transformer-based approaches to classify the given Issue.

   PythonTinyDBNodeJSMySQLhugging-facetransformersserver managementData sciencemachine learningdata analystNatural Language ProcessingFace recognitionpdfLibsShell scriptingComputer visionRESTCRONDockerKubernetes
3. Software Development Engineer

   Amazon Development CenterApr 2018 — Sep 2019

   • Developed advertising service for Amazon associates in 13+ countries
   • Implemented currency preferences, shipping charges integration, product attributes
   • This allows Amazon associates to access Amazon item catalog and show the products on their websites which increases the indirect traffic to Amazon

   JavaSpring bootS3DynamoDBRedshiftCompletableFuturesFuturesETLRuby on railsJavascriptCSSHTMLJava LambdaJava streamsCaffieneData pipelineSOAP
4. Senior Software Engineer

   Samsung Research InstituteJun 2016 — Mar 2018

   • Developed Automatic Speech Recognition system
   • Designed acoustic (sound) models for distinct accents of language English.
   • Also designed lightweight neural network inference framework for embedded devices.
   • Work was to support various networks with the complete testing of the whole framework.

   CUbuntuKaldiPythonunix/Shell scriptEclipsevimSpeech domain

1. M.S. (CSE)

   Indian Institute of Science (IISc), BengaluruBengaluru2013 — 2016
2. B.E. (IT)

   SGSITS, IndoreIndore2009 — 2013