Muhammad.
Kanvis
Muhammad Ali Saleem
AI & Data Solution Architect | Building Context-Aware Intelligent Systems
Overview
Aspiring AI & Data Solution Architect with a focus on designing end-to-end intelligent systems that bridge the gap between raw data engineering and predictive modeling. Experienced in building scalable ETL pipelines, real-time computer vision systems, and decision-support tools that prioritize 'cognitive load compression' and 'context-aware' logic. Passionate about transforming fragmented data into structured decision signals, particularly in high-stakes domains like healthcare and retail operations.
Lahore, Pakistan
Experience
Jul 2025 – Aug 2025
WORK
Intern – Data Analytics
Systems Limited
Islamabad, Pakistan
Internship focused on data warehousing, pipeline optimization, and scalable data handling.
•Engineered SQL queries and stored procedures using SQL Server Management Studio (SSMS) for advanced data extraction, transformation, and performance tuning
•Designed robust ETL pipelines, enabling seamless integration of data from multiple heterogeneous sources
•Gained hands-on experience with Snowflake AI Data Cloud
•Built a scalable data warehouse architecture to support centralized reporting, historical data analysis, and improved data governance
•Developed interactive Power BI dashboards to deliver actionable insights and visual analytics to stakeholders
•Utilized Azure Data Studio, DAX, and Microsoft Excel for data modeling, profiling, and cleansing to ensure data accuracy and reliability
•Participated in performance optimization, pipeline debugging, and real-time issue resolution across large datasets
Key Achievements
→Resolved critical data inconsistency issues across enterprise reporting workflows by identifying and fixing mismatched filtering logic and duplicate records in ETL pipelines.
→Optimized SQL query performance for datasets exceeding 1M+ records, reducing execution times from several minutes to near-instant responsiveness.
→Ensured 100% data alignment across downstream Power BI dashboards, restoring stakeholder trust in analytics outputs for critical decision-making.
SQLSQL Server Management Studio (SSMS)ETLSnowflake AI Data CloudPower BIAzure Data StudioDAXMicrosoft Excel
Project Portfolio
Present
Career Assistance Platform
Developed a batch-oriented career platform that extracts skills and matches users to jobs using semantic analysis. Designed with a decoupled architecture to allow for future real-time extensibility, featuring modular feature pipelines and precomputed recommendation serving via API.
PythonNLPAPI DesignBatch Processing
Present
Real-time Speed Detector
Developed a real-time speed detection system using Computer Vision. Overcame critical system-level bottlenecks including processing lag and frame jitter by implementing frame skipping, decoupling capture from inference, and optimizing the preprocessing pipeline. Successfully transitioned the system from a laggy prototype to a stable, real-time application by prioritizing latency-aware design over raw model accuracy.
Computer VisionPythonOpenCV
Present
Scalable Data Engineering & BI Solution for Retail Analytics
Data Engineer / BI Developer
Engineered a scalable end-to-end data pipeline to centralize fragmented retail data (sales, inventory, transactions) into a unified analytics workflow. Resolved critical data quality issues including duplicates and time-series gaps to enable reliable reporting.
ETLSQLPower BIPythonData Modeling
Present
Upwork Job Scoring Chrome Extension
Developed a Chrome extension to automate the evaluation of Upwork job posts, optimized for high-precision filtering to avoid 'high-regret' scenarios like wasting limited proposals on low-probability clients. Implemented an iterative scoring algorithm that weights signals like client hire history and budget realism. The system encodes freelance experience into a repeatable decision engine, prioritizing expected value per proposal sent over simple job discovery. Designed to evolve weighting logic based on empirical outcome feedback loops, reducing cognitive load and maximizing proposal ROI.
JavaScriptChrome Extension APIDOM ManipulationJSON
Education
Aug 2023
Bachelor of Science - BS Data Science
National University of Computer and Emerging Sciences (FAST-NUCES)Specialization in Data Science
Impact & Recognition
Awards
NASA SpaceApps
Galactic Problem Solver
Professional Certifications
IBM
IBM AI Developer Specialization
National University of Computer and Emerging Sciences (FAST-NUCES)
Fundamentals of Machine Learning
Google
Google Data Analytics Specialization
DataCamp
Feature Engineering for Machine Learning
Google
Google Business Intelligence Specialization
DataCamp
Intro. to Deep Learning with PyTorch
IBM
Python for Data Science, AI and Development
DataCamp
Working with the OpenAI API
Hacker Rank
SQL
DataCamp
Introduction to AI Agents
DataCamp
Prompt Engineering with the OpenAI API
Skills & Interests
Python
TECHNICAL
SQL
TECHNICAL
Problem Solving
TECHNICAL
Supervised & Unsupervised Learning
TECHNICAL
Regression
TECHNICAL
Classification
TECHNICAL
Clustering
TECHNICAL
Feature Engineering
TECHNICAL
Pandas
TECHNICAL
NumPy
TECHNICAL
Scikit-learn
TECHNICAL
Model Evaluation
TECHNICAL
MS Excel
TOOL
Power BI
TOOL
Matplotlib
TECHNICAL
Seaborn
TECHNICAL
Dashboard Design
TECHNICAL
SQL Server
TOOL
MySQL
TOOL
ETL Pipeline Design
TECHNICAL
Computer Vision
TECHNICAL
CSS
TECHNICAL
C/C++
TECHNICAL
Tableau
TOOL
Git
TOOL
Dimensionality Reduction
TECHNICAL
REST APIs
TECHNICAL
SSIS
TOOL
Data Warehousing
TECHNICAL
HTML
TECHNICAL
Express.js
TECHNICAL
R
TECHNICAL
MongoDB
TOOL
Snowflake
TOOL
React.js
TECHNICAL
Node.js
TECHNICAL
Scalable Data Processing
TECHNICAL
Flask
TECHNICAL
FastAPI
TECHNICAL
Microsoft Azure
TOOL
C#
TECHNICAL
AWS (EC2)
TOOL
Cloud Storage
TECHNICAL
Neural Networks
TECHNICAL
Deep Learning
TECHNICAL
CI/CD
TECHNICAL
Docker
TOOL
Areas of Expertise
Attention to Detail
Leadership
Adaptability
Critical thinking
Strategic Planning
Data Storytelling
Let's Connect
I'd love to hear from you. Feel free to reach out.
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