04/05/2025 updated
AH
100 % available
AI Expert | Data Scientist | ML/DL Specialist
Lahore, Pakistan
Only remote
PHD IN SOFTWARE ENGINEERINGArtificial IntelligenceData AnalysisComputer VisionBig DataCloud ComputingNvidia CUDAComputer ProgrammingData ManagementData MiningGPGPUImage ProcessingMachine LearningNatural Language ProcessingNLTK (NLP Analysis)OpenCV
Artificial Intelligence and Machine Learning
Extensive expertise in AI and ML, including deep learning architectures, predictive modeling, and natural language processing.
Data Science and Analytics
Proficiency in data analysis, data mining, visualization, and advanced statistical techniques using various tools and libraries.
Programming and Software Development
Strong programming skills in multiple languages and frameworks, with experience in developing AI pipelines and applications.
Computer Vision
Experience with OpenCV for image processing and deep learning for image classification.
Natural Language Processing
Expertise in NLP techniques using libraries like NLTK and Hugging Face Transformers.
Big Data Technologies
Familiarity with big data tools and platforms for processing and analyzing large-scale datasets.
Cloud Computing and GPU Programming
Knowledge of cloud platforms and GPU computing using CUDA for accelerated AI computations.
Extensive expertise in AI and ML, including deep learning architectures, predictive modeling, and natural language processing.
Data Science and Analytics
Proficiency in data analysis, data mining, visualization, and advanced statistical techniques using various tools and libraries.
Programming and Software Development
Strong programming skills in multiple languages and frameworks, with experience in developing AI pipelines and applications.
Computer Vision
Experience with OpenCV for image processing and deep learning for image classification.
Natural Language Processing
Expertise in NLP techniques using libraries like NLTK and Hugging Face Transformers.
Big Data Technologies
Familiarity with big data tools and platforms for processing and analyzing large-scale datasets.
Cloud Computing and GPU Programming
Knowledge of cloud platforms and GPU computing using CUDA for accelerated AI computations.
Experience
Professional experience5 - 10 years
Freelancer since2018
Languages
EnglishFluent
Project history
- Provided consultancy to MS and PhD students, guiding their research and exam preparation.
- Led a machine learning-based Power Grid Load Prediction project, improving energy consumption forecasting.
- Architected and developed a Movie and Music Recommendation System using LLM, NLP and collaborative filtering to optimize content personalization.
- Engineered a Fruit Disease Prediction System using ML, CNN, and data augmentation to identify early-stage diseases and improve prediction accuracy for timely interventions.
- Conducted literature reviews to identify advanced methodologies, curate datasets and reducing project redundancy by 25%.
- Pre-processed and standardized transcriptomic datasets into disease-specific formats, ensuring improvement in data readiness for analysis.
- Performed EDA to reveal patterns and anomalies, enhancing model training accuracy by 20%.
- Designed predictive models using ensemble learning and neural networks, significantly improving accuracy.
- Validated models with cross-validation strategies and hyperparameter tuning, enhancing system reliability.
- Built automated AI pipelines for data processing and deployment, that drastically cut manual effort.
- Documented workflows and methodologies in detailed technical reports to support future accessibility and reproducibility.
- Embedded ML/DL algorithms with NLP and fuzzy logic, making the system resilient and versatile across various use cases.
Projects Supervisor:
Assistant Professor:
Lecturer:
- Led advanced AI-driven ceiling inspection robotic project, integrating computer vision (OpenCV, TensorFlow) for defect detection, SLAM-based autonomous navigation, and deep learning models (CNNs) for real-time anomaly classification.
- Supervised AI-powered smart glasses for the blind, using real-time object detection (YOLO, TensorFlow) and audio feedback for navigation.
- Supervised development of deep learning-based eye disease detection system, using CNNs to analyze retinal images for early diagnosis of abnormalities.
Assistant Professor:
- Taught advanced AI courses to MS students specifically in ML, DL and CV using industry standards tools to enable hands-on, real-world learning.
- Assisted the Dean’s committee in academic policy development, and resource allocation to enhance departmental capabilities.
- Organized technical workshops to foster concepts and enhance practical skills.
Lecturer:
- Taught foundational programming courses, focusing on core concepts and practical applications.
- Advised students on course progression, research opportunities, and academic goals.