Virtual Retail GmbH

Virtual Retail is a part of ifm electronics GmbH.

Working Student Deep Learning

Systems Limited

• Developed REST APIs using microservices architecture for 2 Million+ users handling 150+ TPS during peak time.

• Managed microservice containers using docker.

• Worked on government/fintech projects using Angular 2+. Optimized app performance by using pipes, ngZone, lazy loading, differential loading and AOT compilation.

• Led a team of 3 developer with 2 working on the backend and 1 working on the frontend.

• Monitored infrastructure (ALB) logs, identified bottlenecks and refactored APIs to reduce CPU utilization by 30% and response time by 50% during peak hours.

• Optimized database queries, created indexes, and reduced data retrieval time by 30%, thereby cutting back on database load and costs.

• Created pipelines to sync data between OracleDB and Elasticsearch using Logstash.

• Enabled clustering on BE APIs to make use of all cores in the VMs, also integrated it with Prometheus to export aggregate metrics.

• Leveraged AWS CloudFront CDN to cache static API responses at the network layer leading to a 35% reduction in load at the BE.

• Used Redis to cache user specific data and devised Cache Invalidation strategies.

• Integrated google's firebase for sending multilingual push notifications from backend to frontend.

• Utilized different AWS services such as Cognito, Lambda, IAM, S3, CloudFront, CloudWatch, ECS, SES, Fargate for different cloud related usecases.

Software Engineer

HRSG - Innovative Business Solutions

Responsible for conversion of their product Decibel HRMS to Angular 2+, React.js and .Net Core. Decibel is in effect at 200+ clients spread out across 9 countries, including clients such as Nestlé, Engro, Mondelēz etc. having a combined employee base of over 200K individuals.

• Developed backend services via .NET Core Web API, Node.js and ensured 99% availability using Microservice Architecture.

• Used Angular 2+ to create frontend modules for use at over 175 clients. Created custom reusable components for different use cases.

• Integrated multilingual language support using Angular Internationalization(i18n) for French, Arabic and Urdu language.

• Followed design patterns such as Singleton, Adapter, Dependency Injection and Observer etc. to produce maintainable, efficient and reusable code.

• Persisted data using SQL Server and worked with Stored Procedures, wrote optimized queries to ensure low latency and quick response.

• Used Git, Bitbucket, Git Bash and SourceTree for version control.

• Utilized AWS S3 buckets to store images.

• Created custom UI styles using SCSS, CSS, made use of mixins and functions to create reusable styles.

Dubai Islamic Bank

Involved in development of RAAST which is Pakistan’s first instant payment system that enables end-to-end digital payments among individuals, businesses and government entities instantaneously.

• Developed REST APIs using .NET Core (Web API), Node.js, maintained 99%+ uptime to ensure no transactions were skipped.

• Created responsive UI and integrated vendor's as well as my own APIs with the frontend (.Net Webforms, React.js).

• Persisted data using Oracle PL/SQL and SQL Server.

• Collaborated with other banks i.e. JS Bank, MCB, Al-Baraka etc. and performed UAT of RAAST.

• Created API documentation for vendors(Avanza Solutions and Paysys Labs).

Jr. Software Engineer

Xord

• Made use of React JS, Material UI and styled components for frontend.

• Utilized Redux for state management and Context for prop management.

• Used Node.js and Express.js to develop REST APIs.

• Persisted data using MongoDB (BSON).

• Deployed apps using Netlify, Heroku, Vercel and enabled CI/CD via GitHub.

• Utilized Git for source control via Gitbash.

MERN Stack Trainee

10Pearls

Successfully completed my FYP "Optical Character Recognition for a Highly Cursive Language" in the domain of Machine Learning, Artificial Intelligence, Deep Learning and Computer Vision.

•	Created an image segmentation technique using contour masking.

•	Extracted features and serialized them in pandas dataframe. Used Pandas dataframes and	handled Categorical, Numerical features.

•	Tested and utilized different ML models such as SVM, Random Forest and XGBoost etc. for Image Classification.

•	Dealt with ML model serialization and deserialization.

•	Deployed the BE APIs on Heroku and enabled CI/CD using GitHub.

•	Achieved 90%+ testing accuracy on real world data.

• Followed industry best practices and learnt about Javascript and Web Development aswell.

Skills: Python, Scikit-Learn, OpenCV, PIL, Pandas, NumPy, Git, Heroku, Google Colab etc.

FYP Accelerator Mentee

An extremely motivated Software Engineer possessing an extensive pool of knowledge and skill-set within the Software Engineering domain, with over three years of experience in enterprise software companies.

Full Stack App Development is my forte having successfully delivered multiple projects utilizing a range of Open Source technologies with expertise primarily in but not limited to:

Frontend: Angular 2+, React.js, HTML, CSS, SCSS.
Backend:  .NET Core, Node.js, Express.js, Nest.js.
Database: MongoDB, SQL Server, PostgreSQL, Oracle, Elasticsearch.
Languages: TypeScript, JavaScript, C#, Python.
VC and CI/CD: Docker, Git, Git Bash, Bitbucket Pipelines, Sourcetree.
Cloud: AWS; Lambda, S3, ECS, EC2, CloudFront CDN, CloudWatch, SES, Cognito.
Cache: Redis.
Low-Code Development: Power Platform.

Medium: https://medium.com/@danish_raza

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