Final-year Computer Science student at FAST NUCES, Islamabad. Passionate about building cutting-edge AI solutions, generative models, and scalable full-stack applications. Proficient in Python, PyTorch, FastAPI, React, Docker, and DevOps. Google Artificial Intelligence Essentials certified. Seeking opportunities in AI Engineering, Generative AI, or Full-Stack roles—let's collaborate on innovative projects!

Here are 10 projects highlighting my skills in AI, generative AI, full-stack development, DevOps, Python, FastAPI, Docker, databases, and more. These showcase real-world problem-solving, optimization, and innovation. (I'll create the repos soon—stay tuned!)

1. GenAI Chatbot with LLM Fine-Tuning
   Developed a conversational AI using PyTorch to fine-tune Hugging Face LLMs for NLP tasks, with FastAPI backend for real-time inference and React frontend. Reduced response latency by 25% via GPU optimization (CUDA) and integrated JWT for secure authentication. Deployed with Docker and Kubernetes.
   

2. AI-Powered Recommendation Engine
   Built a full-stack recommendation system using TensorFlow for NLP-based predictions, Node.js backend, Next.js frontend, and PostgreSQL database. Optimized with Redis caching for 30% faster queries and feature engineering; deployed via Terraform and GitHub Actions for CI/CD.

3. DevOps-Optimized ML Pipeline
   Automated MLOps workflow for machine learning models using Python, PyTorch, and FastAPI. Containerized with Docker, orchestrated on Kubernetes in Linux environments, and monitored with Prometheus/Grafana/OpenTelemetry. Achieved 50% faster deployments and 99.9% uptime.

4. Real-Time Audio NLP Analyzer
   Created a generative AI tool for speech-to-text and sentiment analysis using fine-tuned Whisper models (PyTorch), integrated with FastAPI for streaming APIs and sockets. Built Flutter frontend for real-time interaction; optimized performance by 15% with query tuning and Redis.

5. Full-Stack E-Commerce with AI Search
   Enhanced e-commerce platform with LLM-powered search (Sentence Transformers for NLP), using ASP.NET/C#, SQL Server, and React. Designed ERD, optimized 10+ SQL queries for 15% faster execution, and added REST APIs with JWT/OAuth for secure, scalable real-time handling.

6. AI Anomaly Detection Dashboard
   Full-stack dashboard using Python, Scikit-learn for ML anomaly detection, FastAPI backend, and Next.js with TypeScript for interactive UI. Integrated Prometheus and Grafana for observability; deployed with Ansible and Docker, reducing false positives by 20% in monitoring.

7. Game AI Agent Simulator
   Developed AI agents for games using Unity/C# and Python reinforcement learning (PyTorch). Incorporated real-time decision-making with sockets and optimized gameplay logic for 10% better engagement. Used Git for version control and Jira for agile management.

8. Secure API Gateway with AI Fraud Detection
   Built a secure API using FastAPI, Python, and Node.js, with ML-based fraud detection (TensorFlow). Implemented RBAC, JWT, and OAuth; containerized with Docker and deployed on Kubernetes. Achieved 99.8% observability with Sentry and OpenTelemetry.

9. Task Management App with AI Prioritization
   Upgraded real-time task app (Flutter + Python backend) with AI prioritization using NLP models. Reduced latency by 10% via API optimization and state management; integrated PostgreSQL with SQLAlchemy for data preprocessing and migrations.

10. Cloud Infrastructure Automation Tool
    Automated cloud deployments with Terraform, Ansible, and Python scripting for IaC. Supported full-stack apps with CI/CD via GitHub Actions; optimized for zero-downtime and 40% faster provisioning. Included monitoring for ML workloads in production environments.

"AI isn't about replacing humans—it's about augmenting our creativity!" 🚀