Professional Summary
Academic and professional overview
AI Engineer and researcher with specialized expertise in developing intelligent systems at the intersection of healthcare, computational neuroscience, and biomedical signal processing. Experienced in designing, implementing, and deploying end-to-end AI solutions for real-world healthcare challenges.
Research-focused background with demonstrated expertise in:
- •AI for Healthcare Systems: Designing wearable-based disease detection, clinical decision support systems, and biomedical signal analysis
- •Computational Neuroscience: Brain-inspired AI architectures, neural signal processing, and neuroimaging analysis
- •Biomedical Signal Processing: EEG, EMG, PPG, and respiratory sound analysis using advanced machine learning techniques
- •Research & Teaching: Mentoring students, publishing research, and translating academic work to production systems
Expertise
Focus Areas
- • Research & Academia
- • Industry Applications
- • Teaching & Mentoring
- • Product Development
Research Focus Areas
Specializing in the intersection of AI, healthcare, and neuroscience
AI for Healthcare
Digital medicine solutions and AI-powered clinical decision support systems
Computational Neuroscience
Brain-inspired AI architectures and neural signal processing
Biomedical Signal Processing
Wearables, EMG, PPG, EEG analysis for real-time health monitoring
Generative AI & Multimodal Learning
Large language models and cross-modal AI for medical applications
Experience
Academic and professional background
GenAI Instructor
Wrapify Labs
2024 – Present
Teaching Generative AI, LLM applications, and prompt engineering to professionals and students.
- •Designed curriculum for AI/ML professionals
- •Mentored 100+ students in practical GenAI applications
- •Created hands-on projects for LangChain, LLMs, and RAG systems
Machine Learning Intern
NCAI AI in Healthcare Lab
2023 – 2024
Research-focused internship on healthcare AI systems and biomedical signal analysis.
- •Developed seizure detection models using multi-modal biomedical signals
- •Implemented ChronoNet for temporal signal processing
- •Contributed to peer-reviewed healthcare AI research
Deep Learning Instructor
TCPC / DSS UETP
2023 – 2024
Instruction and mentorship in deep learning frameworks and neural network architectures.
- •Taught CNNs, RNNs, and attention mechanisms to 80+ participants
- •Developed practical assignments for PyTorch and TensorFlow
- •Led capstone projects on medical imaging and signal analysis
Data Analyst Simulation
Accenture
2023
Industry-focused data analysis and business intelligence project.
- •Analyzed real-world business datasets
- •Implemented predictive analytics pipelines
- •Presented insights to stakeholders
Teaching Experience
Pioneers Group of Colleges
2022 – 2023
Computer Science and English instruction at secondary and university levels.
- •Taught programming, algorithms, and data structures
- •Developed curriculum materials and assessment tools
- •Mentored 200+ students in technical and communication skills
Projects & AI Systems
Healthcare, applied AI, and computer vision applications
Healthcare & Neuroscience Systems
AI-powered wearable systems and clinical decision support
NeuroShield
AI-Powered Seizure Detection Wearable
Real-time tonic-clonic seizure detection system using multimodal biomedical signals (EMG, PPG, IMU) with ChronoNet architecture. Deployed on edge devices for clinical monitoring.
Status: Journal Paper (Under Review)
RespiraSense
Lung Disease Prediction from Respiratory Sounds
CNN-based system for lung disease classification using respiratory sound analysis. Employs MFCC feature extraction and attention mechanisms for improved accuracy.
Status: Research Project
MelanoGuard
AI-Based Melanoma Detection System
Deep learning classifier for melanoma detection from dermoscopic images using transfer learning and ensemble methods for clinical reliability.
Status: Research Project
Applied AI Systems
Retrieval-augmented generation and conversational AI
Saut-ul-Haqq
RAG-Based Islamic Knowledge Chatbot
Production-grade RAG pipeline using LLMs, LangChain, and vector databases. FastAPI backend with semantic search over Islamic knowledge base for accurate responses.
Status: Production System
CleanCapture
Recyclable Item Detection System
Computer vision system for automated recyclable item classification using YOLO and object detection. Real-time processing for waste management applications.
Status: Deployed Project
Image Processing & Enhancement
Advanced computer vision and restoration techniques
Attention-Guided Image Enhancement
Museum Artifact Restoration & Enhancement
Pure computer vision project using attention-based encoder-decoder networks for restoration and enhancement of historical artifact images. Combines domain knowledge with neural attention mechanisms.
Status: Research Project
AI Models & Architectures
Technical expertise and architectural approaches
Medical Signal Classification
Deep learning models for biomedical signal interpretation
- ▸CNN-based EEG/EMG Classifiers
- ▸ChronoNet (Temporal Signal Processing)
- ▸Multi-modal Signal Fusion Networks
- ▸Attention-Guided Signal Encoders
Medical Imaging
Computer vision for clinical image analysis
- ▸Transfer Learning Image Classifiers
- ▸Attention-Based Segmentation Networks
- ▸Ensemble Methods for Medical Diagnosis
- ▸Domain-Specific CNN Architectures
Retrieval-Augmented Generation
LLM-based systems with semantic search
- ▸RAG Pipelines with Vector Databases
- ▸Semantic Embeddings & Similarity Search
- ▸Fine-tuned LLMs for Domain Tasks
- ▸Context-Aware Response Generation
Object Detection & Computer Vision
Real-time detection and classification systems
- ▸YOLO-based Object Detection
- ▸Image Enhancement & Restoration
- ▸Attention-Guided Feature Extraction
- ▸Multi-Task Computer Vision Pipelines
Time Series & Forecasting
Temporal pattern recognition and prediction
- ▸LSTM/GRU Recurrent Networks
- ▸Transformer-Based Temporal Models
- ▸Attention Mechanisms for Sequences
- ▸Sequence-to-Sequence Architectures
End-to-End ML Systems
Full-stack deployment and production architecture
- ▸Data Pipeline Engineering
- ▸Model Training & Evaluation
- ▸Inference Optimization
- ▸MLOps & Monitoring Infrastructure
Publications & Research Output
Peer-reviewed publications and research contributions
NeuroShield: AI-Powered Wearable for Epileptic Seizure Detection
PeerJ Computer Science
Research paper on real-time seizure detection using deep learning on multimodal biomedical signals.
Body Sound Analysis for AI/ML Applications
Medium Publication
Comprehensive analysis and applications of respiratory sound processing in medical AI.
Computational Neuroscience & Digital Medicine
Ongoing Research
Exploring brain-inspired architectures for clinical decision support and patient monitoring systems.
Certifications & Credentials
Professional development and specializations
Computational Neuroscience Specialization
Washington University in St. Louis
2024
Neuroscience & Neuroimaging Specialization
Johns Hopkins University
2024
AI for Healthcare
Coursera
2023
Neural Networks and Deep Learning
DeepLearning.AI
2023
Data Science Specialization
IBM
2023
TensorFlow & PyTorch Advanced
Coursera
2023
Technical Expertise
Skills and tools across AI, healthcare, and computational domains
AI/ML & Deep Learning
Healthcare AI
Computational Neuroscience
MLOps & Infrastructure
Cloud Platforms
Programming & Tools
Leadership & Achievements
Recognition and community impact
Microsoft AI Ambassador Finalist
Pakistan
Recognized as a finalist in the prestigious Microsoft AI Ambassador program for contributions to AI education and healthcare applications.
President – Data Science Society
UET Peshawar
Led the Data Science Society, organizing seminars, hackathons, and mentoring 150+ students in AI/ML technologies.
ML Lead – TCPC Community
Technical Community Engagement
Spearheaded machine learning initiatives, conducted workshops, and mentored emerging AI engineers in the tech community.
Contact & Collaboration
Open to collaborations, PhD opportunities, and research partnerships