Muzakkir Qadri Mohammed

Software Engineer
Based inAtlanta, Georgia
PRIMARY Backend Systems APIs · Services · Architecture · Data · Identity · Observability ASP.NET CoreREST APIsPostgreSQLIdentity BUILD THE CORE 02Cloud PlatformsAzure · AWS · Docker · CI/CDOPERATE 03Real-Time ApplicationsSignalR · Events · Live deliveryREACT 04Full-Stack DeliveryRazor · Angular · Product UISHIP

Software engineer with 5+ years building production .NET and cloud systems from API and data design through CI/CD, observability, security, and performance tuning.

Canadian Permanent Resident H-1B Transfer-Ready Open to Relocation
BACKEND ENGINEERING

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.

REQUEST TRACE live
01 Client POST /workorders
02 Identity OAuth2 · RBAC
03 ASP.NET Core API Validation · Services
04 Data Layer PostgreSQL · Views
05 Events Domain events · notifications
200 OK 142ms validated → authorized → committed → published
REQUEST ACTIVITY sample traffic
GET /api/vehicles
34ms 200
POST /api/documents
118ms 201
GET /api/workorders?cursor=...
51ms 200
PATCH /api/workorders/1042
86ms 204
GET /api/reports/summary
73ms 200
CAREER CHAPTERS

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.

FGF Brands logo
PRODUCTION OWNERSHIP

Software Developer

FGF Brands Inc · Toronto, Canada

01
Scale10K+ internal users
Real-time10K+ concurrent connections
DeliverySub-500ms notifications
OWNEDProduction .NET services end to end

Schema and API design through deployment, telemetry, troubleshooting, and production support for business-critical systems.

BUILTReal-time analytics and notification platform

MongoDB Change Streams and SignalR supporting 10,000+ concurrent connections with sub-500ms delivery.

IMPROVEDAPI and data-path performance

Reworked service boundaries, queries, indexes, and serialization bottlenecks across relational and NoSQL systems.

STRENGTHENEDDelivery, security, and engineering quality

Azure DevOps CI/CD, testing, rollback support, Application Insights, OAuth2/JWT, Microsoft Identity, code review, and mentoring.

.NET CoreAzureSignalRCosmos DBMongoDBSQL ServerAzure DevOps
FGF Brands logo
FROM IDEA TO INTERNAL PRODUCT

Software Developer (Co-op)

FGF Brands Inc · Toronto, Canada

02
BuiltGeo-tracking inventory app
DigitizedManual business workflows
AutomatedRecurring reporting
PRODUCTBuilt a multi-site inventory application from scratch

.NET MVC and Kendo UI gave warehouse teams faster geo-aware search, filtering, and CRUD workflows.

WORKFLOWDigitized manual complaints and operational processes

Connected .NET MVC with SharePoint, notifications, and Power Automate to reduce manual follow-up.

AUTOMATIONAutomated recurring operational reporting

Used Azure Web Jobs and Teams-integrated workflows for scheduled reporting and notifications.

.NET MVCKendo UISharePointPower AutomateAzure Web Jobs
Cloud Technologies logo
FOUNDATIONS

Software Developer

Cloud Technologies · Hyderabad, India

03
Performance~30% faster key pages
DataSQL Server engineering
Breadth.NET + Python workflows
PERFORMANCEOptimized ASP.NET MVC applications

Entity Framework and LINQ tuning improved key page load times by about 30%.

DATAWorked deeply in SQL Server

Stored procedures, functions, triggers, indexes, and role-based data access across application modules.

DELIVERYShipped full-stack features with test coverage

HTML/CSS, jQuery, AJAX, Bootstrap, Selenium, and NUnit across customer-facing functionality.

RANGEExpanded beyond the .NET stack

Django/MySQL/NLTK, ML dashboards, and OCR-driven document processing broadened the problem space.

ASP.NET MVCEntity FrameworkSQL ServerPythonDjangoSelenium
CASE STUDIES

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.

CASE 01 · FLAGSHIP BUILD

Automotive Workshop Operations Platform

A complete operating system for work orders, vehicles, customers, staff, payments, expenses, commissions, and reporting.

Independent Engineering
BEFOREFragmented manual operations

Critical workshop processes lived across disconnected manual workflows.

→
BUILT.NET 10 operating platform

Role-aware workflows, PostgreSQL, Razor/AJAX, Docker, and automated delivery.

→
NOWOne operational model

State-driven work orders, indexed views, cursor pagination, and permission-aware administration.

Lifecycle modeling for rework, cancellation, and delivery PostgreSQL views and targeted indexes for responsive data screens
Razor UI→ASP.NET Core→Service Layer→PostgreSQL→Events
C#.NET 10ASP.NET CoreRazorPostgreSQLDocker
CASE 02 · WORKFORCE + ACCESS

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
.NET 10Google OAuthRBACPostgreSQL
CASE 03 · PLATFORM + INFRASTRUCTURE

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
DockerAzure DevOpsTailscaleChrome MV3
THE LAB

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.

EXPERIMENT 01 · REGRESSION

Health Insurance Cost Prediction

Which regression approach best explains and predicts insurance cost from demographic and lifestyle attributes?

MODELS6 compared
METRICSMAE · RMSE · R²
FOCUSSelection + tuning
PythonScikit-LearnPandasNumPy
EXPERIMENT 02 · COMPUTER VISION

Fruit Classification & Quality Detection

Can image preprocessing and classical supervised learning reliably separate fruit type and quality state?

MODELSVM
VISIONOpenCV
GOALType + quality
PythonOpenCVSVMScikit-Learn
EXPERIMENT 03 · NLP AUTOMATION

Applicant Tracking System

Turn unstructured resumes into searchable candidate data and configurable screening workflows.

PARSINGNLTK
WORKFLOWDjango
OUTPUTSearch + rank
PythonNLTKDjangoNLP
ENGINEERING TOOLBOX

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.

ARCHITECTURE FOLLOWS THE PROBLEM I do not force every system into the same backend shape.

Latency, consistency, integrations, workflow complexity, scale, and operational constraints determine the design.

01Transactional API

Best when the workflow needs clear request boundaries, authorization, validation, and reliable persistence.

Client→API→Service→Database
CRUD · business workflows · consistency
02Event-Driven

Useful when work should continue asynchronously, updates must fan out, or components need looser coupling.

Producer→Event→Consumers
notifications · background work · decoupling
03Integration-Oriented

For systems that have to bridge external services, browser workflows, private infrastructure, or third-party data.

App↔Adapter↔External system
OAuth · adapters · secure bridges · APIs
04Data-Heavy Workflow

When responsiveness depends more on query shape, indexes, views, pagination, and read models than on UI code.

Read model←Views + indexes←Data
PostgreSQL · views · cursor pagination · reporting
CORE

Backend & Data

The technologies I use to build the actual system underneath the interface.

APPLICATION
.NET 10.NET CoreASP.NET CoreASP.NET MVCEntity FrameworkLINQREST APIsSignalR
DATA
PostgreSQLSQL ServerAzure SQLCosmos DBMongoDBMySQL
BACKEND RANGE
PythonFlaskDjangoEvent-Driven ArchitectureMicroservicesSystem Design
SHIP & OPERATE

Cloud, Delivery & Observability

AzureAWSGCPAzure DevOpsCI/CDDockerDocker ComposeKubernetesApplication InsightsTailscaleGit
COMPLETE THE PRODUCT

Web, Identity & Quality

RazorAngularBlazorKendo UIJavaScriptAJAXOAuth2Google OAuthJWTOIDCRBACNUnitMoqSelenium
LEARNING MODULES

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.

APRIL 2026 · COMPLETED

Generative AI Fundamentals

Databricks

What it adds Practical grounding in generative AI concepts that complements backend automation and AI-assisted application workflows.
AI
JANUARY 2026 · COMPLETED

Docker & Kubernetes

Udemy

What it adds Deeper container and orchestration knowledge for packaging, deploying, and operating backend services.
OPS
JULY 2025 · CERTIFIED

AWS Certified Cloud Practitioner

Amazon Web Services

What it adds Cloud vocabulary, service models, security concepts, and architecture context beyond my primary Azure work.
AWS
APRIL 2025 · CERTIFIED

Azure Fundamentals

Microsoft

What it adds Formal cloud foundation around the Azure ecosystem I use for application delivery, CI/CD, identity, and observability.
AZ
ACADEMIC ROUTE

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.

INDIA
2016 - 2020

Bachelor of Engineering

Computer Science

Osmania University

Data StructuresOOPDatabasesSoftware Engineering
CANADA
2021 - 2022

Master of Science

Applied Computing

University of Windsor

Applied SoftwareSystemsDataIndustry Focus
LET'S MAKE SOMETHING USEFUL

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.

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