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.
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.
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.
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.
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.
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.
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.
Teacher Assistant
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Summary
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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Summary
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.
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MS
Computer Science
Grade: 3.85/4.0
Courses
Thesis: Transformer network for multi-person tracking and re-identification in unconstrained environment
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BS
Software Engineering
Grade: 3.85/4.0
Courses
Thesis: Vehicle collision prevention system (VCPS)
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Program
Entrepreneurship Development Program
Courses
National Incubation Center Lahore
Awarded By
University of Management and Technology Lahore
Recognized for achieving the highest GPA in the BS Software Engineering program.
Awarded By
University of Management and Technology Lahore
Awarded for exceptional academic performance in the BS Software Engineering program.
Awarded By
Innovation Skills Institute
Completed specialized training in design thinking methodologies.
Awarded By
Ministry of Information Technology Pakistan
Participated in a national program designed to groom young entrepreneurs.
Awarded By
University of Management and Technology Lahore
Recognized as a semi-finalist in a competitive business plan competition.
Awarded By
University of Management and Technology Lahore
Secured first place in the Deep Learning category of the annual Data Science Hackathon.
Awarded By
Lahore University of Management Sciences
Chosen from 600 applicants (top 20) for incubation, recognizing entrepreneurial potential.
Awarded By
University of Management and Technology Lahore
Acknowledged for achieving the highest GPA in a semester during the BS Software Engineering program.
Published by
Information Sciences
Summary
Contributed to research on cross-modal person re-identification, published in a journal with an impact factor of 8.1.
Published by
Neural Networks
Summary
Contributed to research on advanced multi-object tracking techniques, published in a journal with an impact factor of 7.8.
Published by
Knowledge-Based Systems
Summary
Authored a paper on cross-modality transformer for person re-identification, featured in a journal with an impact factor of 8.8.
Published by
Neural Networks
Summary
Published in a leading journal with an impact factor of 7.8, focusing on multi-agent reinforcement learning for traffic management.
Published by
IEEE Access
Summary
Co-authored a paper on scene graph generation, published in a journal with an impact factor of 3.9.
Published by
International Conference on Artificial Intelligence and Data Analytics (CAIDA)
Summary
Presented research on agricultural AI, utilizing UAV imagery for semi-supervised semantic segmentation in wheat plant counting.
Published by
International Conference on Artificial Intelligence (ICAI)
Summary
Presented a novel approach for wheat disease recognition using one-shot learning techniques at a major AI conference.
Published by
International Conference on Robotics and Automation in Industry (ICRAI)
Summary
Presented research on ROS-based global path planning for autonomous ground robots at an industry robotics conference.
Published by
International Conference on Artificial Intelligence (ICAI)
Summary
Presented research on optimizing MobileNet for plant disease classification using fine-tuned parameters at a major AI conference.
Issued By
Google Cloud
Issued By
IBM
Issued By
IBM
Issued By
Duke University
Issued By
DeepLearning.ai
Issued By
DeepLearning.ai
Issued By
DeepLearning.ai
Issued By
DeepLearning.ai
Algorithmic Development, Prototyping, Scientific Writing, Experimental Design, Technical Documentation.
Python, Dart, C++.
TensorFlow, PyTorch, Keras, Hugging Face.
Scikit-Learn, OpenCV, OpenAI Gym, Transformer.
FastAPI, Django, Flask, Flutter (Android, iPhone, Web), D3.js.
Git, GitHub, LaTeX, Draw.io, Linux, macOS, Windows, ROS, Google Cloud, IBM Tools for Data Science.
Pandas, SciPy, Data Cleaning, Data Merging, Geocoding, Item Response Theory, Statistical Analysis.
Deep Learning, Computer Vision, Large Language Models (LLMs), Reinforcement Learning, Generative Models, Multi-Object Tracking, Person Re-identification, Semantic Segmentation, One-shot Learning, Hyperparameter Tuning, Regularization, Optimization, Neural Networks.
Efficient Deep Learning, Computer Vision, Large Language Models, Reinforcement Learning, Generative Models.
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Summary
Conducted an analytical evaluation of investment opportunities for startups.
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Summary
Developed a predictive model for clothing item demand to optimize inventory management.
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Summary
Provided comprehensive data consultancy services, including cleaning, merging, and geocoding for educational data.
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Summary
Developed bespoke interactive data visualizations to enhance data interpretation and user engagement.