Hi, I'm Arif Mohammad 👋

Full-Stack AI Engineer | Quantum Computing Researcher | Hackathon Winner

I design Production-Grade AI Systems that solve complex, real-world problems. My work bridges the gap between Theoretical Research (Quantum Mechanics, Graph Theory) and Scalable Engineering (Microservices, Edge AI, Hybrid RAG).

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🚀 Engineering Highlights

1. Project Foresight: Hybrid Quantum Fraud Detection ⚛️

(Winner - Amaravati Quantum Valley Hackathon 2025)

Detecting "Mule Rings" in financial transactions using Quantum Mechanics.

• The Problem: Traditional fraud detection models struggle to identify complex, cyclic mule networks hidden within standard transaction data.
• The Solution: Built a hybrid system that uses Quantum Support Vector Classifiers (QSVC) and Variational Quantum Eigensolvers (VQE) to project data into high order dimensions, revealing hidden fraudulent patterns with 98.5% accuracy.
• Tech Stack: Qiskit, PyTorch Geometric (GAT), FastAPI, React Force Graph 3D.

2. Study-Chain: Intelligent Academic Portal 🎓

(Deployed EdTech Platform - 500+ Active Students)

Automated lecture digest generator that turns raw PDFs into structured learning modules.

• The Problem: Students struggle to extract key concepts from dense, 100+ page textbooks efficiently.
• The Solution: An AI-powered platform that surgically extracts relevant topics from PDFs, generates concise summaries, key points, quizzes, and curated video recommendations automatically.
• Tech Stack: FastAPI, React 19, Crawl4AI, Google Gemini 1.5 Pro, PostgreSQL.

3. News Veracity Detector 📰

(Social Impact Tool)

Real-time media bias and fact-checking engine.

• The Problem: Misinformation spreads rapidly, and manual fact-checking is too slow.
• The Solution: A real-time engine that cross-references news articles with trusted sources (Reuters, AP) and uses LLMs to analyze bias, providing an instant credibility score for any news link.
• Tech Stack: Python (Asyncio), Crawl4AI, Llama-3-8b, Shadcn UI.

4. ADAS: Driver Distraction Alert System 🚗

(Edge AI / IoT)

Real-time safety system prioritized for restricted hardware.

• The Problem: Driver distraction is a leading cause of accidents, but most detection systems require expensive hardware.
• The Solution: A lightweight Edge AI system deployed on NVIDIA Jetson that detects phone usage, drowsiness, and cognitive distraction in real-time (30+ FPS) using optimized computer vision models.
• Tech Stack: NVIDIA Jetson, YOLOv9, MediaPipe, Python Multiprocessing.

5. OrbitBot: ISRO AI Assistant (GraphRAG) 🛰️

(Finalist - Bharatiya Antariksh Hackathon 2025)

Eliminating LLM Hallucinations in Scientific Data.

• The Problem: Standard AI chatbots often hallucinate critical scientific details like orbital parameters or payload manifests.
• The Solution: An intelligent assistant that uses a Knowledge Graph (GraphRAG) to ground answers in verified ISRO data, ensuring strictly factual responses for complex queries.
• Tech Stack: Neo4j, LangChain, FastAPI, React, Docker.

6. Resume Builder 📄

(SaaS Product)

ATS-friendly resume generator.

• The Solution: A professional resume tool that solves the common "HTML-to-PDF" formatting issues, generating pixel-perfect, ATS-compliant resumes directly from a React interface.
• Tech Stack: React, Puppeteer (Headless Chrome), Node.js.

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🛠️ Technical Arsenal

Domain	Technologies
Quantum Computing	Qiskit, VQE, QSVC, Hamiltonian Simulation, PennyLane
AI / ML	PyTorch Geometric (GNN), YOLOv8/v9, MediaPipe, Scikit-learn
LLM / RAG	LangChain, GraphRAG (Neo4j), ChromaDB, Gemini API
Backend	FastAPI (Async), Node.js, Python, PostgreSQL
Frontend	React 19, Vite, TailwindCSS, Framer Motion
DevOps / Cloud	Docker, Nginx, GitHub Actions, n8n Automation

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📬 Connect

• LinkedIn: linkedin.com/in/arifmohammad30
• Email: [email protected]
• GitHub: github.com/arifmohammad30