Muhammad is available for hire

Muhammad Qaiser

Verified Expert in Engineering

Back-end Developer

Lahore, Pakistan

Toptal member since March 9, 2023

Expertise

Apigee Amazon API Gateway API Design Integration Python 3 Java C#.NET MuleSoft AWS Lambda Dell Boomi Software Engineering Data Structures Web Development Amazon RDS Machine Learning

Bio

Muhammad is an experienced engineer skilled in developing integrations, APIs, integration platforms as a service (iPaaS), and applications. Muhammad is a trusted, focused, and professional engineer with a history of developing IT projects by successfully diagnosing problems and solving them.

Portfolio

Systems Limited

Apigee, MuleSoft, Dell Boomi, API Management, APIs, AWS Lambda...

Online Freelance Agency

C#.NET, Java, Android, Python 3, Machine Learning, Image Processing, MuleSoft...

Experience

Python 3 - 5 years Java - 5 years C#.NET - 4 years MuleSoft - 3 years Anypoint Studio - 3 years Apigee - 3 years Mule ESB - 3 years Dell Boomi - 2 years

Availability

Part-time

Preferred Environment

Anypoint Studio, Dell Boomi, Apigee, Azure, Amazon Web Services (AWS), C#, Java, Python 3

The most amazing...

...thing I've built is the back end of Crohmi's website. I created image processing scripts in Python for RAW infrared images to NDVI images taken from a drone.

Work Experience

Integrations Consultant

2020 - PRESENT

Systems Limited

Provided support on designing the integration architecture for a MuleSoft project for the integration with the Kafka streaming service, Snowflake, and data warehouse service.
Set up good practices (GxP) in the production environment for the Apigee and Boomi molecules, defining the proper standards and specifications for deploying the application in the GxP environment.
Set up the Integration Center of Excellence business unit (BU) and the integration standards and guidelines for a client to integrate projects and demands from BUs. Completed four integrations and provided support on three integration applications.
Set up the software development lifecycle (SDLC) environment with CI/CD implemented in Jenkins for a MuleSoft project.
Provided multiple foundation trainings for the team on different aspects of integrations across multiple platforms, including MuleSoft, AWS, Azure, and Boomi.
Created reliable asynchronous APIs for logging solutions in a project to monitor and analyze integration applications.
Overlooked a team of four developers on a project working across multiple platforms, including Apigee, AWS, Boomi, and Boomi Flow.
Improved existing API architecture and their response time by up to 60%.
Implemented APIs in MuleSoft following API-led architecture and the API development lifecycle.

Technologies: Apigee, MuleSoft, Dell Boomi, API Management, APIs, AWS Lambda, Amazon Simple Notification Service (SNS), AWS CloudFormation, Amazon API Gateway, Amazon EC2, Amazon DynamoDB, Amazon RDS, Python 3, Java, C#.NET, Google Cloud Platform (GCP), SQL, Enterprise Resource Planning (ERP), Architecture, Integration

Integration and Back-end Developer

2018 - 2021

Online Freelance Agency

Created a custom connector project in Mule 4 using Mule SDK for Java.
Completed 100+ project and service requests from clients in C#, Java, Python, the back end, machine learning, and image processing.
Maintained positive feedback from clients on the work I've done for them.
Created a custom word prediction application in C#.NET with the Levenshtein distance method for the client's customer support software.
Created the chatbot in the Microsoft LUIS service for the client's customer support software automated replies.

Technologies: C#.NET, Java, Android, Python 3, Machine Learning, Image Processing, MuleSoft, Mule ESB, Anypoint Studio, Apigee, APIs, AWS IoT, Azure, SQL

Experience

CroHMI

Crohmi is an IoT-enabled agriculture monitoring system that monitors agricultural lands in real time and helps in crop health and yield prediction.

MY ROLE:
I developed the back end of the website and created image processing scripts in Python for RAW infrared images to NDVI images taken from a drone. The images were then processed to calculate ROIs and create a dataset against the data received from the IOT devices, including temperature and humidity sensors for air and soil from different zones in a crop field. This dataset would then be used to create a machine learning model.

Education

2016 - 2020

Bachelor's Degree in Software Engineering

National University of Sciences and Technology (NUST) - Islamabad, Pakistan

MuleSoft

NOVEMBER 2020 - PRESENT

Azure Fundamentals (AZ-900)

Microsoft

Skills

Libraries/APIs

Apigee, jQuery

Tools

Anypoint Studio, IntelliJ IDEA, Visual Studio, Amazon Simple Notification Service (SNS), AWS CloudFormation

Languages

Python 3, Java, C#.NET, HTML, CSS, PHP, HTML5, JavaScript, C#, SQL

Platforms

MuleSoft, AWS Lambda, Visual Studio Code (VS Code), Azure, Anaconda, Amazon Web Services (AWS), Android, Amazon EC2, Mule ESB, AWS IoT, Google Cloud Platform (GCP)

Storage

Dell Boomi, Databases, Amazon DynamoDB

Frameworks

Bootstrap

Other

API Management, APIs, Amazon API Gateway, API Design, Architecture, Integration, Image Processing, Machine Learning, Web Development, Software Engineering, Solution Architecture, Data Structures, Complex Problem Solving, Amazon RDS, Enterprise Resource Planning (ERP), HackerRank

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