Distributed Skill Ledger Capacity Pool Management System
oThe manual process of fulfillment of skill requirements of various UN projects involves maintaining
of excel based rosters for resources, vetting and evaluating their profiles, assigning contracts according
to requirements, and finally assessing their performance post completion which is quite tedious,
error-prone and time-consuming.
oThe Distributed Skill Ledger project is aimed at streamlining the resourcing process of UNDP and
create a distributed library of skilled individuals that can be leveraged across geographies and
projects.
oThe project involves
1. Creation of directory of skilled associates internal and external to UN who can be discovered by
project requester.
2. Integrating multiple sources of public and UN proprietary data sets to enrich profiles of the
associates
3. Creating a disintermediated platform for vetting, engaging, contract creation and finally
performance management of these resources across several UNDP Projects.
oResponsible for designing smart contracts, blockchain network, automated deployment of the
application, implemented backend APIs.
oTechnologies Used :-
Blockchain, Fabric, Kubernetes, Docker, Go, MEAN.
Dec 2018 -- Jan 2020
Dynamic Blockchain Orchestration Platform
With this dynamic blockchain network of Hyperledger Fabric can be spawned on local infrastructure
as well as on clouds like AWS, Azure, etc. It supports both single as well as multi-host
configuration.
Everything is dynamic like adding peers, organizations, creating channels, installing & instantiating
chaincodes, joining channels, etc.
Responsible for designing solution architecture, writing automation scripts for deploying blockchain
network on Kubernetes clusters and implemented backend.
Technologies Used :-
Hyperledger Fabric, Kafka, Kubernetes, Docker, NFS, Shell Scripting, Python.
July 2018 -- Nov 2018
International Health Agency (Global Organ Transplant Registry)
It is actually the implementation of systematically storing records regarding successful organ
transplants from several countries and hospitals in a distributed ledger platform.
This ledger can be accessed through a friendly user interface by the registered users and by
Utilizing the filtration category, expected results are fetched and generated on the interface
based on the search statements.
Responsible for designing and implementing blockchain network architecture & Smart Contracts
(go, Nodejs) & backend development.
Technologies Used :-
Hyperledger Fabric, SDKs, Shell Scripting, Docker, Go, Nodejs, MongoDB.
Apr 2018 -- Jun 2018
Return Material Authorization (RMA) Tracking
Customer raised the ticket for return of product purchased from manufacturer. Then manufacturer
will notify to shipper about the product to be picked from customer and shipper will inform the
manufacturer that they have accepted their (manufacturer) request and inform the logistic for
picking up the product from customer. Then logistic will notify shipper that they have accepted
their (shipper) request and at last the logistics will carried those products back to manufacturer
and manufacturer will inform customer that they recieved the products back and after quality check
and refund will be initiated.
All the information about the product is stored on blockchain and information is updated in
blockchain through smart contracts. Each organization on blockchain can see the relevant information
about product & able to update the information when products move from one organisation to another.
There are Status Bar which show actual flow.
There are 3 Orgs with each having 1 peer and all are on common channel and a chaincode (smart contracts)
is instantiated on the channel.
Technologies Used :-
Blockchain Platform :- Hyperledger Fabric v1.0 and v1.1.
Smart Contract :- In golang and Nodejs.
Front End :- HTML, CSS, JavaScript.
Back End :- Nodejs, AngularJs.
Middle :- Fabric SDKs.
DataBase :- MongoDB.
Feb 2018 -- March 2018
Estimation of Urbanization Of An Area Using Image Segmentation Techniques (Final Year)
The purpose is to substitute the time consuming and exhausting manual work
used for the estimation of urbanization, using only visual photographic satellite images
and marginal manual work with the methods which automatically classify the image
blocks of aerial or satellite images into Built-Up Areas like buildings, roads
etc. and Non Built-Up Areas like forests, rivers etc. At last Graphical
representation of Urbanization of an area in terms of ratio of buildings, vegetation and
roads.
The application includes pre-processing of Aerial Image and followed by various image
segmentation techniques. After pre-processing vegetation extraction using Normalized
Difference Vegetation Index (NDVI). Then building extraction is done using
edge and corner detection and Hough transformation. Then classify
the different parts of image into Built-Up & Non Built-Up Area. Thenclustering is done
for image enhancement using K mean Clustering. At last we will represent the
estimation of vegetation and building in terms of graphs and Pie Charts.
Jan 2018 -- May 2018
Deployed my Own Cloud ” BlackHole Cloud ”
Cloud Computing Services Access through web portal All users login verification through
database & users details & no. of OS running is stored in database.
Saas :- Opera, Google Chrome, Terminal, Adobe, Firefox, Notepad, Gedit etc.
Staas :- Object Storage through NFS, SAMBA, SSHFS, GLUSTERFS & Block
Storage ISCSI.
Iaas :- Providing OS of required RAM, CPU, Storage on demand of Clients. OS
like RedHat, Kali, Ubuntu,Windows etc. are provided inWeb Browser using VNC
protocol even using RFID tags by which we can shift our running OS in any devices
having NFC support and Web Browsers.
Paas:- Providing platform like python, java, Ansible, Apache server etc.
using Docker & Container.
OS :- RedHat, Kali, Ubuntu,Windows, Opensuse, CentOs.
Back End :- Python with Python CGI linked with MariaDB
database.
Front End :- HTML, CSS, JS, BOOTSTRAP.
Tools :- Qemu-Kvm, Sublime, Browser, RFID tags.
May 2016 -- Aug 2016
StandBy Database (DATAGUARD)
It enables very high-speed movement of data and metadata from one database to
another means providing Disaster recovery, Complete automatic data protection,
and High availability. Servers working on Oracle 11g database with base OS Oracle
Linux Enterprise. One is currently open and Up On which huge no. of transaction are
going on and while other is in mount mode with Different geographical locations.
As automate the backups of rchives & datafiles from server 1 to server 2,
Whenever if there is problem in currently up server 1 or get destroyed in disaster or
burnt out or require maintenance so to avoid failure of ongoing transactions decrease or
decrease in hit ratio or to maintain no time lag or server down problem, then
with few commands to run the server 2 will automatically up and working as primary
server So no loss of ongoing transactions and Data Loss.
Base OS :- Oracle Linux Enterprise.
Technology :- Oracle 11g, Oracle Data Pump.
Tools :- Linux, Type-2 Hypervisor, Putty.
Jan 2016 -- March 2016
