3
2
Pakistan
3+ years of experience
Greetings, Everyone! I am a Full Stack Developer and AI Engineer with expertise in building interactive, high performance applications powered by AI. My deep understanding of web technologies combined with my proficiency in AI-driven solutions allows me to create intelligent, scalable, and future-ready digital experiences. 🚀 My Areas of Expertise: 🌐 Full Stack Development: - React.js, Next.js, JavaScript, TypeScript, Tailwind, Redux, Zustand, Three.js, GSAP - Node.js, Express.js, Golang, SQL, PostgreSQL, Firebase, Supabase - CMS platforms: WordPress, Webflow, Magento, Drupal 🤖 Artificial Intelligence & Machine Learning: - AI Model Development & Fine-Tuning - Generative AI: OpenAI GPT Models, Whisper, Stable Diffusion - AI Voice Agents & Multitasking AI Solutions - Prompt Engineering & AI Automation - LangChain, LangGraph, Hugging Face, Distill Whisper - AI API Integrations: OpenAI, Google AI, FastAPI, RESTful APIs 👨💻 Version Control & Cloud Services: - GitHub, GitLab - Google Cloud Platform, AWS (EC2, S3, SageMaker) 💻 Databases & OS: - Vector Databases (Pinecone), PostgreSQL, MongoDB, MySQL - Windows & Linux By blending my expertise in AI and full-stack development, I build intelligent, immersive, and highly optimized applications. My ability to integrate AI seamlessly into digital experiences gives me an edge in creating next-generation solutions.

Small online shops drown in raw numbers — price, reviews, sales, refunds — but never get an answer to the only question that matters: "Is my shop healthy, and what should I fix first?" ProfitLens-AI answers it in one click. Paste in a shop's metrics, and the app returns a structured Health Report: an overall score from 0-100, a verdict badge (healthy / watch / critical), six weighted dimension scores (price competitiveness, review quality, 30-day sales trend, service, listing completeness, activity), a plain-language summary, and prioritized recommendations. The architecture is a Next.js dashboard feeding a deterministic scoring engine (rubric v0.2, fully auditable, validated 10/10 against the organizer's answer key). On top of that skeleton sits a dual-engine prose layer: when an AMD GPU endpoint is available, Qwen3-4B served by vLLM generates the summary, per-dimension comments and recommendations; when it is unreachable, the app transparently falls back to built-in rule-based prose with identical scores — it never breaks. The AI runs entirely on our own hardware: Qwen/Qwen3-4B served by vLLM (OpenAI-compatible API) on an AMD Radeon Pro W7900D (gfx1100, RDNA3) on the AMD Anrui ROCm notebook instance. Every report triggers real GPU inference — verifiable live with rocm-smi showing utilization and VRAM spikes on each request. Try it now: https://profit-lens-ai.vercel.app (demo account [email protected] / demo1234, pre-loaded with ten test shops). Source: https://github.com/zxy-666666Max/ProfitLens-AI
18 Oct 2026

Palm Sign is a camera-based web application that transforms a user’s palm or hand pattern into a customizable digital signature-style graphic. Using the device camera and MediaPipe Hand Landmarker, the application detects hand landmarks and extracts normalized geometric data. This data is processed to generate smooth, artistic signature designs. Users can customize the signature’s style, ink color, stroke width, size, rotation, and background. The generated signature can be previewed and downloaded in formats such as PNG, transparent PNG, SVG, and JPEG. Palm Sign is designed with a clean, responsive, and accessible interface using Next.js, React, TypeScript, and Tailwind CSS. Privacy is prioritized by avoiding the storage of raw camera footage, frames, or palm photographs. The application also includes a demo mode when camera detection is unavailable. The generated result is a digital graphic and does not claim legal validity, biometric authentication, identity verification, or guaranteed uniqueness.
16 Sep 2026