Currently building hands-on AI experience while pursuing an MS in Artificial Intelligence.
AI intern · MS Artificial Intelligence · Pakistan
Turning data into useful intelligence.
I’m Muhammad Awais, a Software Engineering graduate and MS Artificial Intelligence student building practical solutions across machine learning, data analytics, SQL, and software development. I enjoy turning messy inputs into clear, usable outcomes.
MUHAMMAD / AWAIS
MA
AI · DATA
· BUILD
· BUILD
AI / DATA / SOFTWARE
NowAI Intern · Analytix Camp
StudyingMS Artificial Intelligence
FoundationBS Software Engineering · 2024
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Machine learning, SQL analytics, data warehousing, mobile apps, and full-stack work.
MS Artificial Intelligence in progress · BS Software Engineering completed in 2024.
AI internship · network operations · frontend/mobile development and testing.
LOOKING FORProblems worth solving
STRONGEST SIGNALEnd-to-end learning mindset
BEST NEXT STEPSee a project, then start a conversation
Selected projects
Learning by building.
A mix of machine learning, SQL analytics, data systems, and product-focused software projects.
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Interactive workflow
From raw data to a clear next move.
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Career & education
A foundation in systems, now focused on intelligence.
Software development and network operations experience inform a growing AI and data science practice.
Building practical experience in AI, machine learning, Python, data preparation, visualisation, model training, evaluation, and prediction workflows.
PythonMachine LearningData Visualisation
Supported fixed-line operations through network monitoring, troubleshooting, fault identification, and technical issue handling in a NOC environment.
SolarWindsZTE / Huawei / NokiaNetwork Operations
Contributed to a UK eSIM and connectivity app through frontend implementation, UI development, testing, and usability-focused improvements.
React NativeExpoFirebase
Toolkit & interests
Comfortable across the stack.
Tools that support the path from data to an useful, usable outcome.
AI & Machine Learning
Python, Pandas, NumPy, Scikit-learn, classification, regression, Random Forest, and predictive modelling.
Data & SQL
SQL Server, SSMS, ETL, data warehousing, Medallion Architecture, CTEs, joins, and analytical queries.
Product Development
React Native, Expo, Firebase, MERN stack, Node.js, JavaScript, mobile interfaces, and software testing.
Research Interests
Deep learning, computer vision, generative AI, explainable AI, natural language processing, and applied AI.
Additional training
CCNA v7 training · Microsoft Azure training · Analytix Data Science Bootcamp
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EMAIL
Awais619261@gmail.com
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GITHUB
Awais61926
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PHONE
+92 332 979 9920
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AI / ML✦DATA ANALYTICS✦SQL✦PYTHON✦SOFTWARE✦RESEARCH
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