Machine Learning Specialization
Stanford University / DeepLearning.AI (Coursera)
Supervised LearningUnsupervised LearningModel EvaluationFeature Engineering
Expertise
Skills, Training & Leadership
Grouped by how I actually use them — what's in production daily, what's applied in shipped work, and the industrial domain knowledge that's hard to pick up anywhere but the field.
Currently
I own platform architecture for a production industrial IoT platform delivered into air-gapped customer infrastructure, and I lead a team of three engineers at Lean Automation.
Technical Skills
Core — daily, in production
Languages
C#TypeScriptJavaScriptPythonSQLBash
Backend
ASP.NET CoreNode.jsNestJSExpressFastAPI
Frontend
ReactNext.jsTailwind CSS
Messaging
Apache KafkaMQTTWebSockets
Data
PostgreSQLRedisMySQLMS SQL
Platform
DockerKubernetesLinuxNginxGitHub Actions
Delivery
On-premise & air-gapped deploymentOffline registriesCI/CD
Applied — used in shipped work
AI / ML
LLM fine-tuningRAG pipelinesLangChainLangGraphPyTorchTensorFlowscikit-learnAnomaly detectionTime-series modelling
Architecture
MicroservicesEvent-driven architectureSystem designAPI designTechnical leadership
Industrial domain
OT / Industrial
AVEVA PI (PI System)PI VisionInstrumentationHART devicesControl loopsLoop performanceHMI conventionsSEEQSensor telemetryPredictive maintenanceOT/IT integration
Familiar — used, not claiming depth
Also worked with
MongoDBGraphQLgRPCAWSAzureRabbitMQNeo4jOpenCV
Certifications & Training
LangChain Essentials (Python)
LangChain
Chains & RunnablesPrompt TemplatesRetrieval PipelinesTool Integration
SQL (Advanced)
HackerRank
Complex JoinsWindow FunctionsQuery OptimizationAggregation
Python
HackerRank
Data StructuresAlgorithmsProblem Solving
Honours & Awards
- ›Merit Scholarship — COMSATS University (Top Academic Performance)
- ›Prime Minister's Laptop Award — Government of Pakistan
- ›Pakistan Education Endowment Fund (PEEF) Award — High Achiever Recognition
- ›First Position — Intermediate Board Examinations
Leadership & Community
- ›Data Analytics Lead / Organizer — Google Developer Student Club (GDSC): Led technical workshops, hackathons, and AI/ML training sessions.
- ›ML Lead — IEEE COMSATS Chapter: Mentored peers in machine learning research and guided technical initiatives.