I am Python developer, with hands-on experience in web development, machine learning, data science, web scraping, web automation and model integration. Proficient in LaTeX for report writing, and simulations in the Robotic Operating System (ROS). Skilled in both Windows and Linux (Debian, Ubuntu) operating systems. Eager to contribute to cutting-edge projects in a dynamic environment that fosters growth and collaboration.
Creative Work
1- ISGC 2- Emotion Analysis (PYPI Modules) | Python, Git
1- IUB GPA Cal. 2- Deep Learning
• ISGC Developed For Islamia University Students to calculate SGPA or CGPA.
• Emotion Analysis provides tools for emotion detection using transformer-based models. It includes functionalities for
preprocessing data, generating word clouds, visualizing statistics, bigram, trigram. This package implements the FRNN
algorithm with OWA weights for evaluating model performance.
Laptop Monitoring System | Python, OpenCV, smtplib
Windows, Linux
• The Laptop Monitoring System is a Python-based application designed to enhance security or monitor usage patterns. It
captures images of laptop users upon startup, suggesting it might be utilized for security purposes or monitoring user activity.
The system sends email alerts, which could be notifications to system administrators or owners about unauthorized access
attempts or simply to keep track of usage.
Experience
Backend Software Engineer
Aug 2024 – Present
Artilence
Lahore, Pakistan
• Contributed as a Data Engineer on the Qpharma project, leveraging AWS services such as S3, Lambda Functions, Glue, and
JupyterHub for efficient data processing and analysis. Utilized pandas for feature engineering, data merging, and cleaning
large datasets. Debugged complex data pipeline errors to ensure smooth workflow execution. Integrated data from multiple
sources, including Microsoft Excel and used Excalidraw for creating detailed flowcharts to visualize data pipelines and
processes effectively.
• Designed and implemented Generative AI solutions, including business-focused bots, utilizing LangChain, PostgreSQL, and
MongeDB. OpenAI’s rotate APIs to optimize request handling and improve API performance. Worked with LanceDB to
store and retrieve vectorized data for optimized AI model performance.
• Developed robust and scalable web applications using FastAPI, delivering high-performance backend solutions.Integrated
OpenAI’s APIs for advanced AI capabilities, optimizing performance for both synchronous and asynchronous workflows.
Ensured scalable and efficient data handling across sessions, maintaining a robust architecture. Implemented background
scheduling tasks using tools like Celery or APScheduler for periodic jobs and process automation. Enhanced security by
implementing robust authentication and authorization mechanisms, ensuring secure access control and user management
across the application.