Open to opportunities

M Zeeshan

@zeeshan

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Aspiring AI engineer with expertise in machine learning, deep learning and optimization.

Pakistan

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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth.

I am an aspiring AI engineer currently pursuing a Bachelor of Science in Artificial Intelligence at FAST University, Islamabad. With a strong foundation in programming and data analysis, I have developed a keen interest in machine learning and optimization techniques. My academic journey has equipped me with the skills to tackle complex problems and deliver impactful solutions.

Throughout my projects, I have successfully designed and optimized data processing systems, achieving significant performance improvements. For instance, I developed a low-latency data processing system that resulted in a 2.75x speedup and an 80% reduction in CPU usage. Additionally, my work on customer segmentation and retention outreach showcased my ability to integrate advanced analytics with practical applications, enhancing marketing strategies through data-driven insights.

I am eager to contribute my skills and knowledge to a dynamic team, where I can continue to grow and make meaningful contributions to innovative projects in the field of data science.

Experience

Work history, roles, and key accomplishments

Lightweight CNN Architecture Optimization

Self Employed

Apr 2025 - Present (3 months)

Reimplemented baseline CNN model from academic research and enhanced architecture with custom attention blocks. Improved classification accuracy by 3% (65% 68%) on CIFAR dataset while preserving lightweight design constraints and minimal parameter overhead.

CNN Attention Mechanisms Deep Learning Classification PyTorch Machine Learning

Django Ecommerce Store

Self Employed

Feb 2025 - Present (5 months)

Designed and developed a scalable full-stack e-commerce platform using Django, Bootstrap, and SQLite. Implemented product catalog management, session-based shopping cart, user authentication, and dynamic order processing workflows.

Django Bootstrap SQLite Full Stack Authentication Web Development

High Performance Data Analysis

Self Employed

Jan 2025 - Present (6 months)

Designed and optimized a low-latency data processing system to handle large-scale financial datasets. Parallelized calculations using SIMD (AVX) and pthreads (multithreading) to reduce computation costs. Achieved 2.75x speedup (88s to 32s) and 80% reduction in CPU usage (3.16% to 0.63%) via vectorized operations, cache-aware memory patterns, and efficient data structures.

Data Processing SIMD Pthreads Multithreading Performance Optimization Data Structures Gprof

Flight Departure Delays, Machine Learning

Self Employed

Nov 2024 - Present (8 months)

Developed a machine learning model to predict flight departure delays using Random Forest and Logistic Regression for binary and multi-class classification. Engineered features through temporal analysis, correlation insights, and extensive EDA & visualizations to handle biased data.

Machine Learning Random Forest Logistic Regression Data Visualization K Fold Cross Validation Hyperparameter Tuning Imbalanced Data

Customer Segmentation & Retention Outreach

Self Employed

Sep 2024 - Present (10 months)

Implemented a data pipeline to segment customers into four categories using RFM analysis, BCG matrix and K-Means clustering; performed churn prediction using logistic regression and decision trees. Integrated OpenAI API to generate personalized, segment-aware email content and sent automated outreach via email.

Customer Segmentation Logistic Regression Decision Trees

Education

Degrees, certifications, and relevant coursework

FAST University, Islamabad

Bachelor of Science, Artificial Intelligence

Grade: 3.4/4.0

Currently pursuing a Bachelor of Science in Artificial Intelligence. Relevant coursework includes Data Structures and Algorithms, Database Systems, Operating System, Computer Networks, Software Engineering, Linear Algebra, Probability and Statistics, Artificial Intelligence, Machine Learning, Artificial Neural Networks, and Natural Language Processing.