Mayank.
I like developing software solutions.
A passionate software engineer. I like to design and develop software that helps to fulfill the needs of the user.
Hi, my name is
About Me
I am passionate about Data, AI, ML, Cloud and DevOps. I have a background in software engineering. I always like challenges and finding solutions to complex technical and architectural problems. I have acquired architectural design skills that allow me to work with deeper levels of abstraction when translating requirements to code. I like playing video games, travelling, cooking, and cycling.
Here are tools, methodologies and technologies that I am using and learning:
- SOLID Principles
- Object-Oriented Programming
- Azure
- Google Cloud Platform
- Backend Development
- Docker
- Docker Compose
- CI/CD
- Software Design and Architecture
- Data Structures & Algorithms
- Python
- Java
- Agile
- Scrum
- .NET
- C#
- Web APIs
- Data Engineering
- Machine Learning
Projects
Hugo
GitHub Pages
NameCheap
Personal Website
A highly customizable and mobile first Hugo template for personal portfolio and blog.
HTML
CSS
JavaScript
Python
Flask
Docker
GitLab
JSON
CI/CD
Cypress
Cucumber
Pytest
Bash
Ubuntu Linux
CentOS Linux
Grafana
Kibana
Kubernetes Dashboard
Development of Service Workbench for Software Delivery Platform
This project was part of the final 10-month-long project of the Engineering Doctorate program. It involved developing a new tool, Workbench, that allows Service Engineers to install, update, and troubleshoot their IT infrastructure efficiently.
React
FastAPI
GitLab
MongoDB Database
Tableau
PowerBI
MongoDB Atlas
Run database for Large Hadron Collider experiment
This was the Third Training Project of the Engineering Doctorate program. It involved developing a simple, easy-to-use GUI for analyzing particle physics data at CERN in a team of 11 members.
Unity3D
Unity ML-Agents
ACTi-HF acoustics sound tool
GitLab
.NET
C#
Urban Air Mobility (UAM) Mission Planning
This second training project for the Engineering Doctorate program was conducted in collaboration with Airbus in a team of 8 members. It involved developing a reinforcement learning simulation model consisting of autonomous drones flying in an urban area with noise and collision avoidance capabilities in Unity 3D.
FastAPI
Python
Pytest
Grafana
Docker
Docker Compose
Pandas
NumPy
Jenkins
Ansible
CI/CD
SonarCube
Realtime Electricity Network Sensitivity Analysis
The First Training Project of the Engineering Doctorate program involved developing a data analytics model for CGI that uses simulated household power usage data to predict the effects of different loads on an extensive, simulated electricity network. This project was performed in a team of 10 members.
React
Express
NodJS
MongoDB
GitHub
GitHub Actions
CI/CD
Heroku
Mocha
Selenium
Paediatric speech, spatial and qualities (SSQ) of hearing scale
Our product is a web application used to administer The Speech, Spatial and Qualities of Hearing (SSQ) questionnaires which are used to measure children's hearing disabilities. The application allows parents and children to complete the SSQ questionnaire. After completion their responses are measures and a report is generated showing the calculated metrics. This application was developed in a team of 10 members.
Python
JupiterNotebook
Kaggle
Pandas
NumPy
scikit-learn
Matplotlib
Music Genre Classification
This project is an implementation to find the best set of features to classify music genres in a given Kaggle music dataset.
OpenStack
Melbourne Research Cloud
Ansible
Docker
CouchDB
Django REST Framework
Twitter API
Python
ReactJS
GeoJSON
LeafletJS
ReactCharts
VADER Lexicon
Sentiment analysis during COVID-19
This application was designed in a team of 5 to understand the emotions and mobility of people on twitter during COVID-19 in Melbourne.
Get in Touch
My inbox is always open. Whether you want to approach me for new opportunities, ask questions, discuss new ideas or just say hi!