Muzakkir Qadri Mohammed
Software engineer with 5+ years building production .NET and cloud systems from API and data design through CI/CD, observability, security, and performance tuning.
The request is only the beginning.
I think in service boundaries, data access, identity, failure modes, event flow, observability, and what happens when production traffic does something unexpected.
Production ownership, product building, and engineering foundations.
Each role pushed a different part of my engineering range: scaling backend systems, shipping internal products, and learning to reason about performance and data from the ground up.
Software Developer
FGF Brands Inc · Toronto, Canada
Schema and API design through deployment, telemetry, troubleshooting, and production support for business-critical systems.
MongoDB Change Streams and SignalR supporting 10,000+ concurrent connections with sub-500ms delivery.
Reworked service boundaries, queries, indexes, and serialization bottlenecks across relational and NoSQL systems.
Azure DevOps CI/CD, testing, rollback support, Application Insights, OAuth2/JWT, Microsoft Identity, code review, and mentoring.
Software Developer (Co-op)
FGF Brands Inc · Toronto, Canada
.NET MVC and Kendo UI gave warehouse teams faster geo-aware search, filtering, and CRUD workflows.
Connected .NET MVC with SharePoint, notifications, and Power Automate to reduce manual follow-up.
Used Azure Web Jobs and Teams-integrated workflows for scheduled reporting and notifications.
Software Developer
Cloud Technologies · Hyderabad, India
Entity Framework and LINQ tuning improved key page load times by about 30%.
Stored procedures, functions, triggers, indexes, and role-based data access across application modules.
HTML/CSS, jQuery, AJAX, Bootstrap, Selenium, and NUnit across customer-facing functionality.
Django/MySQL/NLTK, ML dashboards, and OCR-driven document processing broadened the problem space.
Things I designed because the business needed them.
Independent modernization work for an established operating company without an internal software engineering department or application platform.
Automotive Workshop Operations Platform
A complete operating system for work orders, vehicles, customers, staff, payments, expenses, commissions, and reporting.
Critical workshop processes lived across disconnected manual workflows.
Role-aware workflows, PostgreSQL, Razor/AJAX, Docker, and automated delivery.
State-driven work orders, indexed views, cursor pagination, and permission-aware administration.
HR & Workforce Management Platform
Unified employees, contracts, documents, companies, vehicles, billing, expiry workflows, and access control into one system.
- Google OAuth with granular resource permissions
- Reusable lifecycle modules and optimized PostgreSQL administration screens
Self-Hosted Application Platform & VIN Integration
Private hosting, secure administration, delivery automation, and external automotive catalog integration for multiple .NET applications.
- Dockerized ASP.NET Core and PostgreSQL with Azure DevOps health-validated deployment
- Tailscale administration and Chrome MV3 authenticated VIN/catalog bridge
Experiments with a question behind them.
Smaller builds where the goal was learning a different problem space, comparing approaches, and turning data into something useful.
Health Insurance Cost Prediction
Which regression approach best explains and predicts insurance cost from demographic and lifestyle attributes?
Fruit Classification & Quality Detection
Can image preprocessing and classical supervised learning reliably separate fruit type and quality state?
Applicant Tracking System
Turn unstructured resumes into searchable candidate data and configurable screening workflows.
Backend is the center of gravity.
I can finish the full product, but the work I go deepest on is service design, APIs, data paths, identity, events, observability, and production delivery.
Latency, consistency, integrations, workflow complexity, scale, and operational constraints determine the design.
Best when the workflow needs clear request boundaries, authorization, validation, and reliable persistence.
Useful when work should continue asynchronously, updates must fan out, or components need looser coupling.
For systems that have to bridge external services, browser workflows, private infrastructure, or third-party data.
When responsiveness depends more on query shape, indexes, views, pagination, and read models than on UI code.
Backend & Data
The technologies I use to build the actual system underneath the interface.
Cloud, Delivery & Observability
Web, Identity & Quality
New tools, tied back to real engineering.
I do not collect certifications for decoration. I use them to formalize areas I am already using or deliberately adding to my backend and platform skill set.

Generative AI Fundamentals
Databricks
What it adds Practical grounding in generative AI concepts that complements backend automation and AI-assisted application workflows.
Docker & Kubernetes
Udemy
What it adds Deeper container and orchestration knowledge for packaging, deploying, and operating backend services.
AWS Certified Cloud Practitioner
Amazon Web Services
What it adds Cloud vocabulary, service models, security concepts, and architecture context beyond my primary Azure work.
Azure Fundamentals
Microsoft
What it adds Formal cloud foundation around the Azure ecosystem I use for application delivery, CI/CD, identity, and observability.Computer science foundations, then applied computing.
My education moved from core computer science and software engineering foundations into applied computing in Canada, closer to production software, systems, and industry delivery.

Bachelor of Engineering
Computer ScienceOsmania University

Master of Science
Applied ComputingUniversity of Windsor
I care about what happens after the demo.
Backend depth, cloud systems, operational complexity, product ownership, or a system that simply needs to work better. Those are the problems I like.