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Glen Doci
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, United States
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United Kingdom
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Language
English
Fluently
Italian
Fluently
My experience
2019 - ?
job
ASP.NET Full Stack Developer
UCB.
Day to day technologies used:
KnockoutJS, HTML, Boostrap, C#, Nhibernate, WEB API, MVVM, SSMS, Visual Studio 2019, BitBucket.
Day to day activities: Highly project-driven, mainly creating new systems required for staff/students, redesigning all systems, and improving their functionality.
List of couple projects worked on:
GDPR Consent Viewer,
Redesigned Student Time Table,
Tier 4 Compliance,
Tier 4 Compliance Management,
Gym Membership Management,
CASE - Support Activities Viewer,
Group Management Allocations,
Interview Management,
Dropzone,
Academic Tracker - Editor,
Student Attendance Type,
Extenuating Circumstances Manager,
Academic Registry(Currently working on this),
And more
KnockoutJS, HTML, Boostrap, C#, Nhibernate, WEB API, MVVM, SSMS, Visual Studio 2019, BitBucket.
Day to day activities: Highly project-driven, mainly creating new systems required for staff/students, redesigning all systems, and improving their functionality.
List of couple projects worked on:
GDPR Consent Viewer,
Redesigned Student Time Table,
Tier 4 Compliance,
Tier 4 Compliance Management,
Gym Membership Management,
CASE - Support Activities Viewer,
Group Management Allocations,
Interview Management,
Dropzone,
Academic Tracker - Editor,
Student Attendance Type,
Extenuating Circumstances Manager,
Academic Registry(Currently working on this),
And more
Visual Studio, Manager, NHibernate, Web, MVVM, KnockoutJs, Support, Developer, Net, Web API, Compliance, Html, Management, GDpr, Interview, ASP, C, ASP.NET, HTML/CSS/Javascript, API, .Net
2018 - 2019
job
Full Stack .NET Developer
NoMuda.
Day to day technologies used:
AngularJS, TypeScript, HTML, Boostrap, C#, SQL, WEB API, MVC, SSMS, Visual Studio 2019, Jira, Git and BitBucket.
Day to day activities: Work on software/customer issues, software improvements, and projects.
List of couple projects worked on:
Offline mode(big project 3 devs 3-4months): too big to explain in writing if required can explain by phone or face to face.
Bing Maps: Integrated all NoMuda Customers on bing maps. By clicking on the customer pin you would have a pop up with their details and a link to their profile and see all the account and project managers that are working with the customer. If there were too many customers in one area you can enable clustering which will group all nearby customers in one single pin displaying the number of customers grouped in that area making the map less messy. Added a filter on top of the map where you can input the customer name and will display all the locations of that customer on the map and filter out the rest, the filter allows you to filter by project, account manager, or customer size as well. If you click on a cluster it will zoom in and display the individual pins.
Search System: For our internal documentation that is written/styled directly on our support site, you could only filter the documents only by name and not based on the actual keywords inside. The problem is that there are hundreds of documents and it could take a lot of time to find what you are looking for if you have to open one document at a time and look inside. Each document can have sub-documents inside it kinda like a big tree that can go down forever, so you would have to open the top document and then go down and try to find what you are looking for. We ended up using a lucene.net library for the task where we would index the documents in a folder then I wrote the search to go through all indexes and return all documents that have the inputted keyword that the user typed you could type more than one word at once and then space between the two words would be considered like a && which would return all documents that had the keywords you are looking for but both words don't need to be in the same documents while if you wanted an exact match you would ride the sentence or words between the quotes " I want this" and it will return only the document that has that exact match. After returning all the documents I wrote some REGEX to highlight the keywords that the user was looking for allowing them to faster spot what they wanted, the whole thing was instant.
Jira integration: Our software is made of many different versions which we support, customers report issues on our internal support site and when they are identified as a software issue and become a development task they are linked to a Jira ticket. Each version has a Dev build and Release build and the customers will only be on the Release build, when the dev build has passed testing it gets merged in the Release and this merge might happen days weeks, or months later. When we developers commit something to bitbucket we always specify the Jira Issue Key and put comments down of our work. Customer support is always asking developers if the issue in question has been solved and if yes has it been merged in the release yet? I used API calls to bitbucket to get all the commits and their JIRA issue key on every release branch and stored them in our DB and displayed on our internal support site ticket if this release version has the fix in question or not and if yes Displayed the info in a UI Grid all commits made on this ticket the person who did the commits, date/time and the comments they made.
And more
INTERNSHIP OF 220 HOURS PHP(dooring my diploma)
How it worked: Our institute worked with different companies and we had to apply for the one we were interested in, each company could take only 1 or 2 students for the inter.
For the intern where I was taken about 15 other people applied but only me and a girl were taken after hearing the interviews of everyone. For those who weren't able to land an intern, the school would prived an inside project.
Part 1: Website testing making sure everything was working on different browsers and different versions of each browser.
Part 2: I was required to scrape a website using PHP where they had about 40,000-50,000 music teachers registered I had to extract all information name, location, prices, emails, phone numbers, and description all to be stored in a SQL database.
When I was asked to scrape in PHP I had to relook at the language since I was 1 year I haven't used it and I had to look up the concept of scraping being something never done before, took me about 5-7 days to finish the task.
Participated in a Hackathon 48 Hours Event
AngularJS, TypeScript, HTML, Boostrap, C#, SQL, WEB API, MVC, SSMS, Visual Studio 2019, Jira, Git and BitBucket.
Day to day activities: Work on software/customer issues, software improvements, and projects.
List of couple projects worked on:
Offline mode(big project 3 devs 3-4months): too big to explain in writing if required can explain by phone or face to face.
Bing Maps: Integrated all NoMuda Customers on bing maps. By clicking on the customer pin you would have a pop up with their details and a link to their profile and see all the account and project managers that are working with the customer. If there were too many customers in one area you can enable clustering which will group all nearby customers in one single pin displaying the number of customers grouped in that area making the map less messy. Added a filter on top of the map where you can input the customer name and will display all the locations of that customer on the map and filter out the rest, the filter allows you to filter by project, account manager, or customer size as well. If you click on a cluster it will zoom in and display the individual pins.
Search System: For our internal documentation that is written/styled directly on our support site, you could only filter the documents only by name and not based on the actual keywords inside. The problem is that there are hundreds of documents and it could take a lot of time to find what you are looking for if you have to open one document at a time and look inside. Each document can have sub-documents inside it kinda like a big tree that can go down forever, so you would have to open the top document and then go down and try to find what you are looking for. We ended up using a lucene.net library for the task where we would index the documents in a folder then I wrote the search to go through all indexes and return all documents that have the inputted keyword that the user typed you could type more than one word at once and then space between the two words would be considered like a && which would return all documents that had the keywords you are looking for but both words don't need to be in the same documents while if you wanted an exact match you would ride the sentence or words between the quotes " I want this" and it will return only the document that has that exact match. After returning all the documents I wrote some REGEX to highlight the keywords that the user was looking for allowing them to faster spot what they wanted, the whole thing was instant.
Jira integration: Our software is made of many different versions which we support, customers report issues on our internal support site and when they are identified as a software issue and become a development task they are linked to a Jira ticket. Each version has a Dev build and Release build and the customers will only be on the Release build, when the dev build has passed testing it gets merged in the Release and this merge might happen days weeks, or months later. When we developers commit something to bitbucket we always specify the Jira Issue Key and put comments down of our work. Customer support is always asking developers if the issue in question has been solved and if yes has it been merged in the release yet? I used API calls to bitbucket to get all the commits and their JIRA issue key on every release branch and stored them in our DB and displayed on our internal support site ticket if this release version has the fix in question or not and if yes Displayed the info in a UI Grid all commits made on this ticket the person who did the commits, date/time and the comments they made.
And more
INTERNSHIP OF 220 HOURS PHP(dooring my diploma)
How it worked: Our institute worked with different companies and we had to apply for the one we were interested in, each company could take only 1 or 2 students for the inter.
For the intern where I was taken about 15 other people applied but only me and a girl were taken after hearing the interviews of everyone. For those who weren't able to land an intern, the school would prived an inside project.
Part 1: Website testing making sure everything was working on different browsers and different versions of each browser.
Part 2: I was required to scrape a website using PHP where they had about 40,000-50,000 music teachers registered I had to extract all information name, location, prices, emails, phone numbers, and description all to be stored in a SQL database.
When I was asked to scrape in PHP I had to relook at the language since I was 1 year I haven't used it and I had to look up the concept of scraping being something never done before, took me about 5-7 days to finish the task.
Participated in a Hackathon 48 Hours Event
Development, Web API, Website, Less, It, Net, Developer, Support, Music, Testing, Mode, Integration, Software, Web, Search, Lucene, Go, UP, Internal, Manager, ME, Internship, AngularJS, Php, Sql, Git, .Net, API, Writing, HTML/CSS/Javascript, Jira, Typescript, Account Manager, Html, REST, C, Word, UI, Database, SoMe, MVC, Event, Visual Studio
My education
TAFE
Unspecified, N/a
Unspecified, N/a
?
-
2017
n/a
Unspecified, Batchelor of Information Technology
Unspecified, Batchelor of Information Technology
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