Summary
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 acoustic models and a lightweight neural network inference framework in the speech domain. His technology stack is extensive: languages and core skills include Java, Kotlin, Python, C, UNIX shell scripting, unix/Shell script, Shell, SQL, JavaScript, NodeJS, RubyOnRails/Ruby on rails, HTML, CSS; frameworks, libraries, and platforms include Spring Boot, Spring Batch, Spring Cloud, Spring Security, Spring Data, Spring Data JPA, Spring Kafka, Hibernate, Kaldi, transformers, hugging-face; messaging and APIs include Apache Kafka, REST, REST API, gRPC, SOAP; data and databases include MySQL/mySQL, TinyDB, DynamoDB, Aurora, RDS, Redis, Athena, BigQuery, Redshift, Snowflake; cloud, DevOps, observability, testing, and tooling include AWS, EC2, S3, KMS, OpenSearch, Grafana, Prometheus, Jenkins, JIRA, Docker, Kubernetes, ArgoCD, Apache Airflow and Airflow, Git, Github, NewRelic, Kibana, Intellij, Eclipse, VSCode, vim, Vegeta, Gatling, Karate, MyBatis/myBatis, JUnit, Mockito, Figma, Miro, Slack; performance and concurrency utilities include CompletableFutures, Futures, Java Lambda, Java Streams, Caffiene/Caffeine; plus ETL, Data pipeline, CRON, pdfLibs, Computer vision, Face recognition, Natural Language Processing, Data science, machine learning, server management, GPS integration, and Ubuntu. He holds an M.S. in CSE from IISc Bengaluru and a B.E. in IT from SGSITS Indore, served as a teaching assistant for Design and Analysis of Algorithms, earned a Samsung Achievement Award, scored 99.75 percentile in GATE (CS/IT), and has a peer-reviewed publication titled “On Higher-Order Fourier Analysis over Non-Prime Fields” (APPROX/RANDOM 2016).
Meet Chetan G.
Assessment Scores
Great score on Implement an LRU Cache Algorithm, Difficulty Medium
Great score on Understanding Rate Limiting in APIs, Difficulty Medium
Great score on Handling API Errors, Difficulty Medium
Experience
PayPay Corporation
Senior Backend Engineer
Full-Time
Aug 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.
Technologies:
Spring Boot
Kotlin
Java
AWS
S3
BigQuery
EC2
Aurora
mySQL
SQL
Git
Github
RDS
KMS
Redis
NewRelic
Kibana
OpenSearch
Grafana
Prometheous
Jenkins
JIRA
Docker
Kubernetes
Spring Data JPA
Spring Cloud
Spring Kafka
Apache Kafka
Vegeta
Junit
Mockito
Gatling
Hibernate
myBatis
Karate
Shell
Intellij
VSCode
Figma
Miro
ArgoCD
Apache Airflow
Airflow
Slack
Python
unix/Shell script
Athena
grpc
REST
Caffiene
System design
Architect
Vlabs.ai
Research Staff Member
Full-Time
Sep 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.
Technologies:
Python
TinyDB
NodeJS
MySQL
hugging-face
transformers
server management
Data science
machine learning
data analyst
Natural Language Processing
Face recognition
pdfLibs
Shell scripting
Computer vision
REST
CRON
Docker
Kubernetes
Amazon Development Center
Software Development Engineer
Full-Time
Apr 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
Technologies:
Java
Spring boot
S3
DynamoDB
Redshift
CompletableFutures
Futures
ETL
Ruby on rails
Javascript
CSS
HTML
Java Lambda
Java streams
Caffiene
Data pipeline
SOAP
Samsung Research Institute
Senior Software Engineer
Full-Time
Jun 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.
Technologies:
C
Ubuntu
Kaldi
Python
unix/Shell script
Eclipse
vim
Speech domain
Education
M.S. (CSE)
2013 - 2016
Indian Institute of Science (IISc), Bengaluru
Bengaluru
B.E. (IT)
2009 - 2013
SGSITS, Indore
Indore
