Daljeet Singh Nandha
Business Profile
Hi, welcome on my profile page!
I created this website simply by using a HTML boilerplate, Bootstrap and jQuery (nothing fancy, no templates).
You will find a short resume and a listing of my qualifications. Feel free to look around.
About my person
- Name
- Daljeet Singh Nandha
- Birth year
- 1989
- Work experience
- Software development
- Commissioning
- Fields
- Robotics
- Automation
- Artificial Intelligence
- Machine Learning
- Qualifications
- Bachelor of Engineering
- Master of Science
A comprehensive listing
of my experience levels in the field of software development.
| {Coding} | |
|---|---|
| Language | Level |
| C/C++ | Advanced |
| C# | Advanced |
| Java/JavaEE | Advanced |
| Python | Advanced |
| Octave | Intermediate |
| Perl | Base |
| Ruby | Base |
| {Web} | |
| Name | Level |
| .NET | Advanced |
| HTML | Advanced |
| jQuery | Advanced |
| NodeJS/Express | Intermediate |
| PHP | Intermediate |
| Azure | Base |
| {Database} | |
| Name | Level |
| SQL | Advanced |
| MongoDB | Advanced |
| Object-relational mapping | Intermediate |
| Access/OleDB | Intermediate |
| {Platforms} | |
| Name | Level |
| Eclipse/IntelliJ | Advanced |
| Visual Studio | Advanced |
| Android Studio | Advanced |
| Unreal/Unity Engine | Base |
| {OS} | |
| Name | Level |
| Linux | Advanced |
| Windows | Advanced |
| MacOSX | Intermediate |
| Android | Advanced |
| iOS | Base |
| Embedded | Base |
Commissioning experience
and maintaining customer relations.
An important part of my job as a robot software developer is to "get the software running" at the customer site. But, let's go a step back. Laying the foundation for a solid solution is, well ... fundamental. What does that mean? How about: discussing all options, evaluating and sorting out the most suitable solutions and presenting those to the customer, in order to get a "bilateral agreement".
Customer relations is THE key component to success or failure of a task / project. In the end it comes down to thorough communication between client and supplier. Not only in the planning stages, but throughout the task / project. This may sound somehow out of a textbook. But when you get confronted with all sorts of questions, flaws, faults, concerns - then you have to sort out: what is doable and what is not. So here comes in a certain level of transparency: the customer needs to now what he will get and limits should be clear.
Research: Machine Learning / AI
Publication: Morgan, A.S., Nandha, D., Chalvatzaki, G., D'Eramo, C., Dollar, A.M. and Peters, J., 2021, May. Model predictive actor-critic: Accelerating robot skill acquisition with deep reinforcement learning. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6672-6678). IEEE.
