Pawan Yadav

Build Data pipelines using AWS glue jobs for feature store which feeds ML models for fraud prevention

Built fraud prevention platform within Trust (current team) space to save 1 million cost due to fraud and chargebacks with contribution in architecture design , Proof of concept & code .

Led a team of 4 engineers for disaster recovery project across org for all global serving locations .

Contrinuted in building in-house tools that make better developer experience across organisation like Kafka go producer library , custom APM library in go .

Active participated in hiring process ,team buidling activities & training sessions ,monitoring & resolving production issues during on-call .

• Worked on enhancing and migrating (to AWS) microservice-based promotion management system that serves millions of customers worldwide.
• Working on BDD & TDD that improved system flow by reducing errors and better testing efficiency.
• Reduced system tight-coupling for customer onboarding flow with event-based architecture using Kafka and Hazelcast cache, Hystrix.
• Java8,Spring-boot,MongoDB,Kafka Hazelcast, Splunk,Pager-duty.

• Built lending platform micro-service from scratch with Spring boot, MySQL by taking full ownership of the platform from customer onboarding to Money-credit which generated revenue in millions .
• Built fully automated lending process from Id-verification through Aadhar & PAN , checking credit score , bank account verification, and debit loan amount based on the overall score generated directly into the bank account.
• Built Loan-return process/platform through NACH(a fully -automated loan return process ) for merchants.
• Tech stack Used: Spring-boot,Mysql, Micro-services, Docker,Kafka

Built B2B SaaS-based startup from scratch with a team of 4 developers that impacted a thousands of merchants (Acquired by LifCare)

Integrated Nosql(DynamoDB) and moved all data from Sql to Nosql ,thus improving overall architecture .

Built ElasticSearch based search platform to remove duplicate data (Medicine data) based on multiple factors like fuzzy search and thus automated 90 % of tasks.

Built Push notification system Platform from scratch using AWS(SNS, SQS) & Google cloud notification service to engage customers .

Implemented Bulk Data ingestion system using AWS SQS, Lambda ,DynamoDB & S3 using a set of auto scaling lambda to reduce server cost and better fail-safe system.

Tech used: Laravel, Spring-boot,Angularjs, DynmaoDB, SNS, SQS, ElasticSearch, Redis,EC2,AWS lambda, python,Ruby

Worked as Software Engineer Intern(Full-Stack)

Developed Zomeds Internal Platform for Merchant Onboarding .

Developed APIs for Zomeds vendors Onboarding Platform(self-Onboarding) .

Setup AWS Basic infra like AWS EC2,S3,DynamoDb,VPC,lambda

Tech Stack: Laravel, AWS, Angularjs, S3, DynamoDb, Mysql, Python