AI SYSTEMS Β· COMPUTER VISION Β· INTERACTIVE WEB Β· CLOUD & INFRASTRUCTURE
AI TWIN Β·
IDENTITY Β·
CAPABILITIES Β·
PROJECTS Β·
ARCHITECTURE Β·
EXPERIENCE Β·
STACK Β·
CONNECT
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My AI assistant can answer questions about my background, engineering approach, skills, projects, experience, and collaboration fitβwithout making you search through the entire profile. Try asking:
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Why a link instead of an embedded window? GitHub safely blocks interactive scripts and iframes inside profile READMEs. This launch interface opens the full live assistant.
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β HUMAN PROBLEM β
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β
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βΌ βΌ βΌ
βββββββββββββββ βββββββββββββββ βββββββββββββββ
β PERCEPTION β β REASONING β β EXPERIENCE β
β Vision / CV β β AI / LLMs β β Web / UX β
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βΌ
βββββββββββββββββββββ
β PRODUCTION SYSTEM β
β APIs Β· Data Β· Ops β
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| Vector | What I work with | Value created |
|---|---|---|
| 01 Β· Perceive | Object detection, tracking, gestures, landmarks, image processing | Convert camera and image input into useful signals |
| 02 Β· Reason | LLM applications, RAG concepts, neural networks, explainability, prompt systems | Turn information into contextual, structured assistance |
| 03 Β· Experience | React, JavaScript, Three.js, responsive UX, WordPress | Make complex technology feel clear and approachable |
| 04 Β· Connect | REST APIs, databases, authentication, integrations | Join intelligence with real business and application data |
| 05 Β· Operate | Hosting, DNS, SSL, CDN, caching, backups, monitoring | Keep products fast, secure, recoverable, and available |
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A futuristic endless-highway racer that translates live hand poses into steering, acceleration, braking, nitro, and drift. Engineering signature: separates hand detection from the render loop; adds calibration, landmark feedback, lost-hand pause, keyboard/touch fallback, reduced motion, and quality controls.
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A research platform for testing how controlled circuit-level perturbations affect attention and working memory in a biologically constrained recurrent neural network. Research signature: matched controls, rescue curves, uncertainty intervals, paired effects, multiple-comparison correction, frozen configurations, checksums, and explicit ethical boundaries.
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A beginner-friendly learning product combining structured roadmaps, explanations, practice, homework support, interview preparation, and project guidance. Product signature: reduces the βtoo many tabs, no clear directionβ problem through visible progression and learner-centered next actions.
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Expand the experimental network
| Node | Experiment | Signal |
|---|---|---|
E-01 |
MemeFace Synth | Facial expression as an audiovisual instrument |
E-02 |
60 Days of Python | Consistent learning through daily builds |
E-03 |
Jet Detection & Tracking FYP | YOLOv6 detection with identity-preserving DeepSORT tracking |
E-04 |
MediQuick | Falcon-180B integration for accessible healthcare conversation |
flowchart LR
A["Human need"] --> B["Product experience"]
B --> C["Context & orchestration"]
C --> D["AI / vision model"]
C --> E["APIs & application data"]
D --> F["Validation & safeguards"]
E --> F
F --> G["Observable production system"]
G -. "usage evidence" .-> B
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Find the real human or business problem. Define success, limits, users, and risks before choosing technology. |
Place the model, interface, context, API, data, and infrastructure boundaries deliberately. |
Build the smallest convincing version. Test behavior, latency, usability, privacy, and failure states. |
Deploy securely. Observe real use, recover gracefully, measure honestly, and improve from evidence. |
POST /v1/rabbiya-ai/build
Content-Type: application/json
{
"input": "ambitious idea",
"constraints": ["human need", "privacy", "latency", "cost", "reliability"],
"pipeline": ["discover", "architect", "prototype", "validate", "deploy", "observe"],
"output": "a useful, working system"
}I treat infrastructure as part of product behaviorβnot an afterthought hidden below it.
| Altitude | Systems | Operational concern |
|---|---|---|
EDGE |
Browser vision Β· MediaPipe Β· CDN Β· cache | Privacy, frame rate, device capability, delivery speed |
APP |
FastAPI Β· Flask Β· Node.js Β· PHP Β· WordPress | Validation, authentication, integration, reliability |
DATA |
MySQL Β· PostgreSQL Β· MongoDB Β· Firebase Β· Supabase | Integrity, access boundaries, query behavior |
MODEL |
LLM APIs Β· PyTorch Β· TensorFlow Β· OpenCV | Output quality, latency, quotas, compute |
OPS |
Cloudflare Β· cPanel Β· Hostinger Β· Vercel Β· Docker basics | SSL, DNS, monitoring, backups, recovery |
PERFORMANCE ββββββββ SECURITY ββββββββ RESILIENCE ββββββββ OBSERVABILITY
2025 βββββββββββββββ NOW
J.K Media Digital Marketing
WordPress Developer
β³ production websites Β· integrations Β· performance Β· security Β· maintenance
2024 βββββββββββββββ FOUNDATION COMPLETE
Institute of Space Technology, Islamabad
BS Computer Engineering Β· CGPA 3.59/4.00
β³ AI Β· image processing Β· networks Β· architecture Β· embedded foundations
LEADERSHIP ββββββββββ OPERATIONS
GAO Tek / GAO RFID
Former Assistant Tech Manager
β³ remote coordination Β· mentoring Β· workflows Β· delivery quality
| Environment | Problems handled | Signal strengthened |
|---|---|---|
| Production web | E-commerce, lead systems, responsive delivery, performance, security | Ownership Β· debugging Β· UX Β· reliability |
| AI & research | Vision, tracking, neural modeling, uncertainty, reproducibility | Experimental reasoning Β· evidence Β· communication |
| Remote leadership | Intern coordination, mentoring, quality checks | Guidance Β· process design Β· accountability |
| Computer engineering | Cross-layer software and hardware systems | Systems thinking Β· technical range Β· rigor |
π§ Intelligence & perception
Python OpenCV YOLOv6 DeepSORT MediaPipe PyTorch TensorFlow/Keras scikit-learn Pandas NumPy
Computer vision Β· object detection Β· multi-object tracking Β· gestures Β· neural systems Β· explainable experiments
π¬ Conversational systems
LLM APIs RAG Concepts Prompt Architecture Vector Search Concepts Falcon-180B Integration
Conversational UX Β· context design Β· model integration Β· structured output Β· safeguards Β· fallbacks
π Product engineering
React TypeScript JavaScript Next.js Three.js WebGL Node.js Express FastAPI Flask REST APIs
Responsive interfaces Β· interactive 3D Β· browser AI Β· backend services Β· authentication Β· API-driven products
π‘οΈ Production & operations
WordPress WooCommerce PHP MySQL Cloudflare cPanel Hostinger Vercel Docker Basics
Deployment Β· DNS Β· SSL Β· CDN Β· caching Β· backups Β· security hardening Β· recovery Β· Core Web Vitals
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Building deeper understanding of intelligent systems that remain observable and understandable. |
Turning requirements into responsive, maintainable, reliable experiences. |
Growing from application delivery toward scalable compute and inference operations. |
Research direction
My graduate research interest centers on uncertainty-aware visual-inertial fusion for multi-object tracking in GPS-denied UAV search-and-rescue missionsβconnecting probabilistic detection, ego-motion compensation, robust data association, and resource-aware edge deployment.
| Node | Product | Domain | Route |
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01 |
Rabbiya Web Gallery | Personal brand and project storytelling | Launch β |
02 |
ACRD Projects | Real estate and business presentation | Launch β |
03 |
Zoya Venture Real Estate | Listings-focused responsive UX | Launch β |
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House of Paints | WooCommerce and performance | Launch β |
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OrangeFlow365 | Conversion-focused services | Launch β |
06 |
Crafted Bonds | Brand-led jewelry commerce | Launch β |
07 |
Xzlon | Modern software services | Launch β |
{
"status": "open_to_opportunities",
"best_fit": [
"AI and computer-vision products",
"intelligent web experiences",
"production engineering",
"research collaboration"
],
"collaboration": ["remote roles", "freelance", "research", "hackathons"],
"next_action": "start a conversation"
} |


