Feb 2017 – Dec 2018 · 1 yr 10 mos · Noida Area, India

Jan 2016 – Jan 2017 · 1 yr · Noida Area, India

Jul 2014 – Dec 2015 · 1 yr 5 mos · Noida Area, India

• Improved various aspects of proprietary workflow server called as "Insight flow". Improvements include fixing resource leaks in the scheduler, collecting accurate running stats from the submitted DAG of jobs to cluster, implementing core functionalities such as Triggering, Cleaning, Retrying on server UI (both frontend and backend). In all these tasks I worked from design phase to deployment phase.
• Designed and implemented an end-to-end solution for management team to observe signal hub daily usage patterns across globe. We used RethinkDB (Nosql DB which has document data model) for storing and processing collected json files.

Jan 2012 – Dec 2012 · 11 mos

• As an Administrator i managed all Lab servers which includes Intel Modular Server, Database Server(Postgres) , Map Server (Geoserver), Web Server (Apache), Wiki,SVN etc.

Jul 2011 – Jun 2014 · 2 yrs 11 mos

• 2012-JAN to 2012-OCT:
• Worked on Enterprise-ready Geospatial Framework called as "Geomajas", which is Open source, developed using Springs and Hibernate and GWT. I have developed a feature called "TimeLine" which has simple GUI , which can be used to visualize features associated with the time period of the feature. According to selected timeline option, the user can be able to feel different information according to time. Through "Snapshot" option, the user can visualize various features present at that particular point of time. Like "Show me Features of buildings,busstops,roads which are present at the period 1975". It will give you output similar to a picture taken at that time.
• 2011-June to 2011-Dec:
• Created a JAVA Swing application for automatic data cleaning. Here data is huge which is comming from various location points on the river GANGA in the CSV format for many years from 1990-2009. I created an automatic tool which will refine data by removing outliers,unrecorded data and make it easy for the data analysts to analyze according to Months,Seasons etc.