I am a part of Amazon Last Mile delivery system primarily responsible for all the operations for package handling from Delivery station to Customers.
My team is responsible for building & scaling Amazon logistics & fleet management portal on last mile operations for delivery service providers. 
We build world class technology that empowers the DSPs & give them capability to handle all their operations with scale & innovation through technology.

Responsibility :

1.  Designed & Developed Data Ingestion platform for Amazon last mile assets including vehicles, EV's etc. The platform supports ingestion of multiple vehicles & its corresponding data using file, API & event based mechanism. It also supports near real time data ingestion. The platform is scalable & supports ingestion of 100K vehicles data in 10 mins. I also developed the rule engine to identify stale & duplicate data from source preventing the overloading of downstream services. The platform speed up the expansion of Amazon F

[Team : Amazon Last Mile Delivery]
The Last Mile team helps get customer packages from delivery stations to a customer’s doorstep with cutting edge Technology.

[Team : Amazon PXT]
1.  Live Chat - Contact US Feature :
Designed & Developed Live chat Service which is used by 0.12 Millions of Customer.
Live chat is the application that enables Customers to Connect with Customer Resource Center by Chatting with Live Representative . It integrates with Amazon Connect & provides live chat support. I was leading the design & development of Contact us backend API’s & its Integration with Chatbot. Also designed & developed the strategy for A/B testing for Contact US Feature.

2. Translation Connector : 
Designed & Developed the machine translation connector which is responsible to translate the content stored in CMS ( Adobe ) from specific source language to required multiple target language.  The translation connector is responsible to translate thousands of web pages stored in Adobe Content Management System resulting reducing the human efforts of localisation Manager by 70% . 
Developed the Serverless Rest service using AWS Lambda, AWS CDK, API Gate

[Team : Amazon PXT]
At Amazon,
As Application Developer
I worked on the mission to build the most successful Contact Platform on the Planet.
I was primarily working on the development & deliverables for the Conversational Bots (Voice & Text) using AI & Machine learning.
I used Node.js (TypeScript), Java for developing the scalable microservices solution for the millions of customers who are using our Solution.
I am responsible for multiple AWS development &  deliverables across the multiple AWS services & its integration to Other services/systems or tools.
AWS services including Amazon Lex, Lambda, S3, DynamoDB, ElastiCache, Transcribe, Translate, Comprehend, SageMaker, Kinesis, SNS,SQS, AWS Cognito

Following is the brief of services which I owned & developed from scratch : 

1. Contact Channel Data Store Service : The CCDS Service is a solution for storing a subset of contact information for every contact that comes through a contact channel managed by the Contact Channels team which

At GE Digital India,
I was working on connecting large scale Industrial machines/devices to the cloud. An IoT application that is collecting real-time/historian data from machines/devices and forecasts the real-time use cases. I was largely engaged in Microservices development with Spring Boot & Node.js, Angular.js for visualization. This Real-time data use case has also provided me an opportunity to work with WebSocket communication protocol implementing a duplex communication channel.

I worked on the following features during my tenure at GE:

	• Implemented Config-Client for Node.js Microservices which will connect to Spring Cloud Config Server for fetching Configurations file at Runtime. Removed the tight coupling of Configurations from Code & made it flexible & ready for Multiple instance deployment.
	• Developed a Spring Boot based CI/CD Automatic Utility which will read configurations from 80 different microservices & fetch the equivalent configurations file for multiple instan

At NCR
• I was a Spring Boot Microservices Developer
• I worked on cloud enablement of legacy monolithic Payment Routing System(Authentic) to AWS cloud Infrastructure . 
• I also worked on re-architecturing the Monolith product into micro service oriented architecture using Spring Boot , docker , Kubernetes , Teraform, AWS and Harness as CI/CD pipeline.
• Was responsible for re-architecturing the session based application to session less architecture and convert the monolithic to SaaS Application without any major code change using the customized Externalization concept & AMQP Protocol.

Employee Engagement Manager Version 8.3.1/Hotfix – Own the responsibility of development of new feature/REST API/Multi-tenant WFM feature / UI filter involved in 8.3.1 as well as fixing of complicated bug found in testing (corresponding to support French Meta data). Was responsible to analyze the requirement and helped in planning the strategy, approach and Setting up the Lab Environment for project.

Developed Automatic Call Distributor SDK. ACD SDK is a library which is responsible to take data from ACD, package the data in standard format and then post the data continuously on Agent State Connectivity Web Services Server to provide the real-time information about the status of agent in contact center.
Responsibilities: Was responsible to develop Write Module, Heartbeat Module and OAuth Module using Java . Build and deployed end to end SDK . Jenkins was used for automation process. Wrote Junit Test cases using Mockito .

SDE II at Amazon

HARSHAL THAKARE • Software Development Engineer II at Amazon • Peerlist Profile

Currently, Hospitals/Healthcare centre work in isolation. The means for co-ordinated/inter-connection among them is still a long
way to go in India. Patient records (medical life history as well as case to case) are not digitalized / transc

Networking Healthcare Technology, Sushrut

The cross platform mobile app platform to notify about events and achievements in college, portal which will connect students based on profession and interest. Resource Server, oAuth2.0 Authorization Server was developed. 
Technology: Sprin

Starterio

The Web platform to connect students, teachers and parents.Recommendation System was implemented to recommend the similar kind of students having same area of interest , same hobbies( marks, background, city etc) across the college, city an

Social Network For Educational Purpose, EduTek

Digital image processing and machine learning project which will detect the emotions of a user watching the video. The "Emotica" will show the graph of user's emotion throughout the video and detect the emotions as sad, happy, angry, contem