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 AI, machine learning, data analytics, SQL, RAG, 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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RAG, machine learning, commercial analytics, SQL 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 and evaluating supervised-learning workflows in Python and Scikit-learn, with hands-on work across data cleaning, preprocessing, exploratory analysis, feature preparation, visualization, validation, and evaluation.
PythonMachine LearningData Visualisation
Monitor fixed-line network operations using SolarWinds and multi-vendor infrastructure across ZTE, Huawei, and Nokia systems; diagnose, isolate, escalate, and resolve service faults within structured NOC workflows.
SolarWindsZTE / Huawei / NokiaNetwork Operations
Implemented frontend features for a UK-based eSIM and connectivity mobile application using React Native and Expo; tested functionality and usability, identified defects, and supported debugging and interface refinement.
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, regression, classification, Random Forest, model evaluation, NLP, Generative AI, RAG, embeddings, vector search, and LLMs.
Data & SQL
SQL Server, SSMS, DQL, ETL, data warehousing, Medallion Architecture, CTEs, joins, aggregation, subqueries, data cleaning, KPI analysis, and business analysis.
Development & Tools
React Native, Expo, Firebase, Firestore, Node.js, MongoDB, Express.js, JavaScript, HTML, CSS, Figma, Git, GitHub, Jupyter Notebook, Streamlit, and Plotly.
Networking
NOC operations, network monitoring, troubleshooting, TCP/IP, LAN/WAN, VPN, DNS, DHCP, DSL, GPON, SolarWinds, ZTE, Huawei, and Nokia.
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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