Backend Engineer

Open to full-time

Bio

Chetan G. is a Senior Backend Engineer with approximately 9 years of experience in software design and development, specializing in algorithms, system design, and architecture. Chetan's core technology stack includes Java, Kotlin, Python, and Spring Boot, which he uses to build microservices and backend systems. He is proficient in AWS services like EC2 and S3, as well as databases such as MySQL and DynamoDB. His work involves implementing CI/CD practices, managing deployments with Docker and Kubernetes, and maintaining system performance using tools like Grafana and Prometheus. At PayPay Corporation, Chetan contributed to the development of over 15 microservices and facilitated the integration with PayPay Bank, enhancing consumer payout transactions. In his role at Vlabs.ai, he led the development of a remote monitoring solution using face recognition technology, which serves over 10,000 customers and reported 500+ violations within the first two weeks of deployment. Chetan holds an M.S. in Computer Science and Engineering from IISc Bengaluru and a B.E. in Information Technology from SGSITS Indore. He is well-suited for roles that involve complex backend development and system architecture in dynamic environments.

Expertise

Node.jsKafkaGitRuby on RailsJavaScriptSQLCSSHTMLPythonAWSJavaKubernetesBashRelational Database

Video Intro

Assessments

General Project Assessment

(91/100)

Implement an LRU Cache AlgorithmMedium
Understanding Rate Limiting in APIsMedium
Handling API ErrorsMedium

Experience

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
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
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
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