# neural_profile.py
class AbdullahNaeem:
"""
AI Engineer & Researcher shipping
products from the heart of Pakistan.
"""
role = "AI Engineer & Researcher"
location = "Lahore, Pakistan"
university = "FAST NUCES — Data Science"
building = [
"Multimodal Medical Diagnosis AI",
"Federated Learning for Healthcare",
"Stuttering Detection NLP Models",
"LLM Security & Red-Teaming Tools",
"Computer Vision Systems at Scale",
]
currently = "Shipping AI products that matter"
open_to = ["Research", "Engineering", "Collabs"]
fun_fact = (
"Built federated learning for "
"Alzheimer's detection across "
"multiple medical institutions"
) |
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pie title Research & Engineering Focus
"Computer Vision" : 30
"Healthcare AI" : 25
"NLP & Speech" : 20
"LLM Security" : 15
"MLOps & Infra" : 10
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graph LR
CORE([AI Core])
CORE --> ML([PyTorch / TF])
CORE --> LLM([LangChain / RAG])
CORE --> CV([OpenCV / YOLO])
ML --> H1([Medical Imaging])
ML --> H2([Federated Learning])
LLM --> H3([RAG Pipelines])
LLM --> H4([LLM Red-Teaming])
CV --> H5([Disease Detection])
CV --> H6([Real-Time Tracking])
H1 --> OUT1([Diagnosis AI])
H2 --> OUT2([AlzFed])
H3 --> OUT3([AquireIQ])
H4 --> OUT4([LLM Security])
H5 --> OUT5([Nail & Bone AI])
H6 --> OUT6([StutterNet])
[ AI & Machine Learning ]
[ Backend & Infrastructure ]
[ Frontend & Interfaces ]
[ DevOps & Cloud ]
[ Tools & Editors ]
| Project | Description | Stack | Status |
|---|---|---|---|
| AquireIQ | AI intelligence platform with RAG pipeline & smart data acquisition |   |
 |
| StutterNet | Deep learning stuttering detection for real-time speech therapy assistance |   |
 |
| AlzFed | Privacy-preserving Alzheimer's detection via federated learning |  |
|
| ai-pdf-editor | Intelligent PDF editor with AI content extraction & RAG capabilities |   |
|
| Osteoporosis AI | CNN-based X-ray analysis with GRAD-CAM for bone density assessment |   |
 |
| Adversarial ResNet | FGSM/PGD adversarial attacks and defense mechanisms for ResNet | |
|
| LLM Injection | Prompt injection taxonomy & defense framework for production LLMs |  |
|
| Nail Detection | Real-time nail condition CV detection for non-invasive medical diagnostics |  |
|
"Building AI systems that bridge the gap between research and real-world healthcare impact."
