Highly accomplished Machine Learning Engineer and AI Researcher with a strong academic background and extensive experience in deep learning, computer vision, and large language models. Proven ability to develop and deploy advanced AI solutions, conduct impactful research, and lead complex data-driven projects from conception to implementation. Seeking to leverage expertise in cutting-edge AI technologies to drive innovation and solve challenging problems in a dynamic environment.
Work
Intelligent Criminology Research Lab, NCAI
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Machine Learning Engineer
Lahore, Punjab, Pakistan
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Summary
Led the development and deployment of advanced computer vision and machine learning systems for real-world applications in criminology and industrial monitoring.
Highlights
Developed a vision-powered autonomous ground vehicle system utilizing ROS, enhancing navigation and operational efficiency.
Engineered a vision-based fruit yield estimation system, improving agricultural productivity monitoring accuracy.
Designed and implemented a driver alert system based on RGN and depth sensors, significantly improving road safety by detecting driver distraction.
Contributed to production monitoring systems within the sugar industry, optimizing operational processes and reducing waste.
Implemented computer vision solutions for rice crop monitoring, aiding in early detection of issues and improving yield quality.
Freelancer
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Deep Learning & Data Analysis Consultant
Remote, Punjab, Pakistan
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Summary
Provided expert consultancy in deep learning, data analysis, and AI-powered application development for diverse clients and projects.
Highlights
Developed an item forecasting model for a clothing brand using Python, TensorFlow, and scikit-learn, optimizing inventory management.
Executed comprehensive data consultancy for Polish schools (Szkolomat project), involving data cleaning, merging, geocoding, and item response theory using Python (SciPy, Pandas).
Designed and implemented custom interactive charts for Data4Cure using D3.js, enhancing data visualization and user engagement.
Conducted an investment potential evaluation for Startup Compass, leveraging Python (scikit-learn, Pandas) and R for data-driven strategic insights.
COMPUTER VISION AND MACHINE LEARNING LAB, KICS
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Research Officer
Lahore, Punjab, Pakistan
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Summary
Conducted cutting-edge research and development in computer vision and machine learning, focusing on autonomous systems and industrial applications.
Highlights
Researched and prototyped a vision-powered autonomous ground vehicle system using ROS for initial feasibility studies.
Initiated development of a vision-based fruit yield estimation system, laying groundwork for future agricultural technology applications.
Explored and developed early-stage driver alert systems utilizing RGN and depth sensors for enhanced safety protocols.
Investigated computer vision techniques for production monitoring in the sugar industry, identifying key areas for process optimization.
Participated in the development of rice crop monitoring solutions, contributing to early research phases of agricultural AI.
University of Management and Technology
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Undergraduate Research Assistant
Lahore, Punjab, Pakistan
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Summary
Contributed to research on text extraction and recognition, applying foundational machine learning concepts to real-world data challenges.
Highlights
Conducted research on text extraction and recognition from traffic licenses, achieving notable accuracy in initial prototypes.
Vision and Image Processing Research Group, UMT
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Undergraduate Research Assistant
Lahore, Punjab, Pakistan
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Summary
Assisted in research focusing on driver distraction detection using computer vision techniques.
Highlights
Worked on Driver's Distraction Detection using a fixed monocular camera, contributing to the development of early warning systems.
Sagacious (Pvt.) Ltd
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Machine Learning Engineer
Lahore, Punjab, Pakistan
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Summary
Developed robust microservice APIs and machine learning pipelines to facilitate data exchange and model deployment for various applications.
Highlights
Developed and deployed microservice APIs using Python (FastAPI, Django, Flask) to handle high-volume data sending and receiving, improving data throughput.
Designed and implemented scalable machine learning pipelines, streamlining model training, evaluation, and deployment processes.
Volunteer
Teacher Assistant
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UET - University of Engineering and Technology, Department of Computer Science
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Supported student learning and practical application in a Machine Learning course, reinforcing complex concepts.
Highlights
Assisted students with understanding machine learning algorithms and practical implementation, improving comprehension for a cohort of students.
Teacher Assistant
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UET - University of Engineering and Technology, Department of Computer Science
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Provided instructional support for a Data Structure and Algorithms course, guiding students through challenging concepts and problem-solving.
Highlights
Mentored students in data structures and algorithms, facilitating improved problem-solving skills and academic performance.
Education
UET - University of Engineering and Technology
Lahore, Punjab, Pakistan
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MSComputer ScienceGrade: 3.85/4.0
Courses
Thesis: Transformer network for multi-person tracking and re-identification in unconstrained environment
UMT - University of Management and Technology
Lahore, Punjab, Pakistan
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BSSoftware EngineeringGrade: 3.85/4.0
Courses
Thesis: Vehicle collision prevention system (VCPS)
Lahore University of Management Sciences
Lahore, Punjab, Pakistan
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ProgramEntrepreneurship Development Program
Courses
National Incubation Center Lahore
Awards
Rector Award in BS Software Engineering (highest GPA)
University of Management and Technology Lahore
Recognized for achieving the highest GPA in the BS Software Engineering program.
Rector Medal in BS Software Engineering
University of Management and Technology Lahore
Awarded for exceptional academic performance in the BS Software Engineering program.
Selected for Design Thinking training
Innovation Skills Institute
Completed specialized training in design thinking methodologies.
Selected for MSI Entrepreneurial Development program
Ministry of Information Technology Pakistan
Participated in a national program designed to groom young entrepreneurs.
Semi-Finalist in DICE Business Plan Competition
University of Management and Technology Lahore
Recognized as a semi-finalist in a competitive business plan competition.
Winner of Annual Data Science Hackathon (Deep Learning Category)
University of Management and Technology Lahore
Secured first place in the Deep Learning category of the annual Data Science Hackathon.
Selected for Incubation in National Incubation Centre
Lahore University of Management Sciences
Chosen from 600 applicants (top 20) for incubation, recognizing entrepreneurial potential.
Dean Award in BS Software Engineering (highest GPA in semester)
University of Management and Technology Lahore
Acknowledged for achieving the highest GPA in a semester during the BS Software Engineering program.
Publications
Progressive Learning in Cross-Modal Cross-Scale Fusion Transformer for Visible-Infrared Video-Based Person Reidentification
Information Sciences
Contributed to research on cross-modal person re-identification, published in a journal with an impact factor of 8.1.
STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids
Neural Networks
Contributed to research on advanced multi-object tracking techniques, published in a journal with an impact factor of 7.8.
CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities
Knowledge-Based Systems
Authored a paper on cross-modality transformer for person re-identification, featured in a journal with an impact factor of 8.8.
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor
Neural Networks
Published in a leading journal with an impact factor of 7.8, focusing on multi-agent reinforcement learning for traffic management.
Scene Graph Generation With Structured Aspect of Segmenting the Big Distributed Clusters
IEEE Access
Co-authored a paper on scene graph generation, published in a journal with an impact factor of 3.9.
Wheat Plant Counting Using UAV Images Based on Semi-supervised Semantic Segmentation
International Conference on Artificial Intelligence and Data Analytics (CAIDA)
Presented research on agricultural AI, utilizing UAV imagery for semi-supervised semantic segmentation in wheat plant counting.
Wheat Disease Recognition through One-shot Learning using Fields Images
International Conference on Artificial Intelligence (ICAI)
Presented a novel approach for wheat disease recognition using one-shot learning techniques at a major AI conference.
ROS-Based Global Path Planning for Autonomous Ground Robot Using the Pre-Built Map of the Environment
International Conference on Robotics and Automation in Industry (ICRAI)
Presented research on ROS-based global path planning for autonomous ground robots at an industry robotics conference.
Robust Optimization of MobileNet for Plant Disease Classification with Fine Tuned Parameters
International Conference on Artificial Intelligence (ICAI)
Presented research on optimizing MobileNet for plant disease classification using fine-tuned parameters at a major AI conference.
Languages
English
Urdu
Certificates
Managing Machine Learning Projects with Google Cloud
Google Cloud
Tools for Data Science
IBM
Data Science Orientation
IBM
Data Science Math Skills
Duke University
Convolutional Neural Networks in TensorFlow
DeepLearning.ai
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.ai
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning