VIKASH

Objective

To reach the zenith of my career by gradual learning and to be a valuable asset for the organization where I work to achieve self-realization and accomplishment of organizational goals

Experience-Immediate Joiner

rategain

Sr. TechnicalManager (Senior Architect)•april 2019-present

Designing best solution for existing and new project. Optimization of processing and cost.

Technical Manager(ARCHITECT) •april 2018-April 2019

Implementing best cost effective technical solution. Adopting best technology and optimization

AssT. Technical Manager (Asso. Architect)•april 2017-april 2018

Implementing best cost effective technical solution. Adopting best technology and optimization

Technical Lead • oct 2015-april 2017

Project development, coding, unit testing, code review.

Innodata

Sr. Software Engineer • oct 2012-oct 2015

Project development, analysis, coding, unittesting

Projects

RCC (cloud framework • rategain • solution architect

Problem: Current running framework was using physical servers and there was no way for scaling, also the cast was going day by day higher. System was not stable.

Solution: Implemented a cloud-based solution running in container with auto-scaling.

Project Details:It is a cloud framework for gathering data, which is equipped with auto scaling of nodes as per the workload on the system. Integrated monitoring and alert system with stack driver. Used big query for data storage and implemented partitioning and clustering for making fast accessing of data and lessen up scan size. Implemented pub-sub flow for message queuing. Containerized deployment using Docker image

TechStack: GCP, .Net Core, SQL Server, Kubernetes, WebAPI, JavaScript, Docker, Big Query

Role: Solution Architect

Responsibility: End to End Solution design, architecture design and implementation

Condor ferry • rategain • solution architect

Problem: Create a new system which takes prices of ferries from client and propose them recommendation for price and provide BI on which client can auto-accept, reject, accept prices.

Solution: Implemented solution ascloud airflow for backend processing and BI database as Fire-store and Big-Query as storage for historic data. Angular used for BI. Cloud function for file processing and micro-services architecture based node API

ProjectDetails: It is Client Portal for condor customer to view their current prices for different routes and visualize our recommended price calculated using varies parameters like bookings, holidays, season, historical data etc. Automated system to get the price from customer on GCS then airflow use that data to evaluate recommended price and store in big query and finally stored to file based system (Fire Store) to power BI. This whole system uses Google Airflow and Dataflow. We did follow micro services based architecture for API services.

Tech Stack: Angular 4, Node API, Cloud Functions, Airflow, Dataflow, Python, Java, Big Query, Google Fire store, Google Repository, html, css

Role: Solution Architect

Responsibility: End to End Solution design, architecture design and implementation