BIOGRAPHY
Hello! I am Ahsan Ali, a Machine Learning Engineer and Python Developer passionate about building robust, scalable solutions in computer science and data-driven environments. I have built and deployed a variety of projects ranging from multivendor e-commerce platforms to advanced monitoring apps, and AI-powered tools for evaluating model performance. My expertise spans developing microservices, creating robust machine learning models, and building tools for evaluating model performance. Skilled in Python, Django, machine learning frameworks, and microservices architecture, I aim to leverage my skills in innovative environments where real-world challenges demand practical and scalable solutions.
Contact:
Email: ahsan.ali00946@gmail.com
Phone: +92 300 7527029
GitHub: ahstraction
LinkedIn: ahsan-ali00946
Satisfied Clients
Projects
Years Experience
Junior Python Developer @SlySol Software Technologies
May 2024 - Present
- Developed a multivendor e-commerce store, handling complex data models, transactions, and performance optimizations.
Tools & Technology: Python, Django, Django Rest Framework, PostgreSQL, Celery
- Built an employee monitoring app to track real-time progress, resource usage, and project tasks across multiple services.
Tools & Technology: Python, Django, Django Rest Framework, PostgreSQL, Celery, HTML, CSS, Bootstrap, JavaScript
- Created an evaluation tool to analyze machine learning model performance based on various metrics, enabling data-driven improvements to future models.
Tools & Technology: Python, Seaborn, Pandas, Numpy, Matplotlib, Jupyter Notebook
Data Science Intern @Paisol Technology
Mar 2024 - May 2024
- Developed a personalized movie recommender system using user watch history and ratings.
Tools & Technology: Python, Pandas, Scikit-learn, MovieLens dataset
- Identified key factors driving customer churn and developed a predictive model for targeted marketing.
Tools & Technology: Python, Pandas, Scikit-learn, UCI Machine Learning Repository datasets
- Implemented a stock price forecasting model using time series analysis to assist in financial decision-making.
Tools & Technology: Python, Pandas, yfinance library, Scikit-learn
Software Engineer @S93 Partner
January (2023) - Present
Leading full-stack development initiatives while architecting scalable web applications and mentoring junior developers. Spearheaded the development of multiple high-traffic applications using modern technologies, collaborated with product teams to deliver enterprise-level solutions, and established best practices for code quality and deployment workflows.
Full-Stack Software Engineer @ML Bench
June (2021) - December (2022)
Developed and maintained enterprise-level applications using the MERN stack, focusing on scalable architecture and performance optimization. Contributed to the complete software development lifecycle from requirement analysis to deployment, while implementing best practices for code quality and system reliability.
Python
JavaScript
Django
HTML
CSS
REST APIs
Pandas
Scikit-learn
Time Series Analysis
Scrapy
Beautiful Soup
Selenium
NLTK
Word2Vec
MySQL
PostgreSQL
DynamoDB
Matplotlib
PowerBI
Tableau
Seaborn
TensorFlow
PyTorch
Keras
OpenCV
Scikit-Image
Object Detection
Segmentation
The University of Lahore, Lahore -- (Jan 2020 - Jul 2024)
Major Courses:
Aspire Group of Colleges, Lahore -- (Jul 2017 - Sep 2019)
Relevant courses include Mathematics, Physics, and Computer
Feedback Form
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